HICP_and_ECB_Rates.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "responsible-steel",
   "metadata": {},
   "source": [
    "# Eurozone consumer prices inflation, ECB Deposit Facility, Market Yield on Government Bonds at 10-Year, wage inflation, and Riskless Yield Curve\n",
    "This notebook jaxteposes the evolution of Eurozone consumer prices inflation as measured by the HICP (Harmonized Index of Consumer Prices) with ECB Deposit Facility Rate and 10 year Government Bond yields. It then looks at the the relationship between riskfree rates (e.g. 10-year AAA-rated eurozone central government bonds rates) and Eurozone HICP + real GDP growth rates. HICP + GDP growth rates is known as _the intrinsic riskfree rate_. In theory the 10-year AAA-rated eurozone central government bond rate such as that for 10-Year Germany government bonds should be similar to the intrinsic riskfree rate. This notebook looks at how this played out since the 90's.\n",
    "\n",
    "I then look at Euroarea wage inflation data.\n",
    "\n",
    "Finally, I look at the evolution of the Euro riskless rate curve as defined by the yields on AAA-rated eurozone central government bonds.\n",
    "\n",
    "**NB**: Throughout this notebook in datasets with a quarterly frequency, data indexed to the start of a quarter designates the whole quarter starting on that date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "casual-border",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment if running in Google Colaboratory, otherwise the import of the curves module in the cell below will fail\n",
    "#!git clone -l -s https://github.com/ilchen/US_Economic_Data_Analysis.git cloned-repo\n",
    "#%cd cloned-repo\n",
    "\n",
    "# Install the latest version of eurostat\n",
    "# !pip install eurostat -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "blank-cassette",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.ticker as mtick\n",
    "import pandas_datareader.data as web\n",
    "from pandas.tseries.offsets import MonthBegin, BDay, QuarterBegin\n",
    "\n",
    "import eurostat\n",
    "\n",
    "from datetime import date\n",
    "import re\n",
    "\n",
    "from dateutil.relativedelta import relativedelta\n",
    "\n",
    "from pricing import curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "former-nitrogen",
   "metadata": {},
   "outputs": [],
   "source": [
    "report_start = date.fromisoformat('1996-01-01')\n",
    "report_end = date.today()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "advanced-width",
   "metadata": {},
   "source": [
    "### Get Consumer Price Index for the Eurozone, ECB Deposit Facility Rate, 10 Year Government Bond Yields, and Real GDP\n",
    "I use the following dataseries provided by [FRED](https://fred.stlouisfed.org/):\n",
    "* `ECBDFR` &mdash; ECB Deposit Facility Rate for Euro Area (daily frequency, from 1999)\n",
    "* `ECBMLFR` &mdash; ECB Marginal Lending Facility Rate for Euro Area (daily frequency, from 1999). This is the rate at which banks can borrow money from the central bank against collateral for a period of one day (overnight). This rate is always higher than the main refinancing rate and therefore sets an upper limit for money market rates.\n",
    "\n",
    "And the following dataseries provided by the [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `irt_lt_mcby_m` &mdash; EMU convergence criterion series (monthly frequency). This series returns a dataset containing Long-Term Government Bond Yields for the Eurozone at 10-year maturity. I use it instead of the `IRLTLT01DEM156N` and `IRLTLT01ITM156N` datasets returned by FRED given that Eurostat's database tends to be updated earlier than that of FRED for Eurozone data.\n",
    "* `prc_hicp_midx` &mdash; Harmonized Index of Consumer Prices: All Items for the Eurozone (monthly frequency, 2015=100, from 1996)\n",
    "\n",
    "There's a relationship between the riskless rate as represented by AAA-rated eurozone central government bonds rates on the one hand and real GDP growth and inflation rates on the other hand. I use 10-year Germany Bond Yields as proxy for riskless long-term rates in the Eurozone given Germany's AAA credit rating. At the end of this section I look at real GDP developments in conjunction with the inflation of consumer prices. To calculate GDP growth for the Euro area I make use of the following dataseries from [Eurostat](https://ec.europa.eu/eurostat/databrowser/view/NAMQ_10_GDP/default/table?lang=en):\n",
    "* `namq_10_gdp` — Real Gross Domestic Product for the Eurozone, Millions of Chained 2010 Euros (quarterly frequency, from 1996). The closest series published by the FRED is `CLVMEURSCAB1GQEA19`, however it is still based on the old configuration of the Eurozone (EA19) so I don't use it. I make use of both non seasonally adjusted as well as seasonally and calendar adjusted data. This is needed because I want to obtain both annual GDP growth (i.e. growth over four quarters) as well as quarterly GDP growth and express the latter at an annual rate. I use the following formula to translate quarterly changes into annual rates:\n",
    "\n",
    "$$\\left(\\left({\\text{level of quarter n+1} \\over \\text{level of quarter n}}\\right)^4-1\\right)\\times 100\\% $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "voluntary-maker",
   "metadata": {},
   "outputs": [],
   "source": [
    "ecbr = web.get_data_fred(['ECBDFR', 'ECBMLFR'], start=report_start, end=report_end)\n",
    "\n",
    "# Retrieving the most recent Eurozone CPI and government bond yields from Eurostat's database\n",
    "EUROSTAT_DE_COUNTRY_LABEL = 'DE'\n",
    "EUROSTAT_IT_COUNTRY_LABEL = 'IT'\n",
    "eu_irt_lt = eurostat.get_data_df('irt_lt_mcby_m',\n",
    "        filter_pars={'startPeriod': report_start, 'geo': ['DE', 'IT']}).iloc[:, 2:]\n",
    "eu_irt_lt = eu_irt_lt.set_index(eu_irt_lt.columns[0]).T\n",
    "eu_irt_lt = eu_irt_lt.set_axis(pd.DatetimeIndex(eu_irt_lt.index, 'MS')).astype(ecbr.dtypes.iloc[0])\n",
    "\n",
    "# Using Eurozone price index 2015=100, and All-items HICP: CP00 \n",
    "eu_hicp = eurostat.get_data_df('prc_hicp_midx',\n",
    "               filter_pars={'startPeriod': report_start, 'unit': 'I15', 'coicop': 'CP00', 'geo': 'EA'}).iloc[:, 3:]\n",
    "eu_hicp = eu_hicp.set_index(eu_hicp.columns[0]).T\n",
    "eu_hicp = eu_hicp.set_axis(pd.DatetimeIndex(eu_hicp.index, 'MS'))\n",
    "# Since prc_hicp_midx is indexed to 2015=100, we need to convert it to annual percentage changes\n",
    "eu_hicp_annual = eu_hicp.pct_change(12)\n",
    "\n",
    "# Make frequencies explicit, resample to month srart\n",
    "ecbr = ecbr.asfreq('D').resample('MS').last()\n",
    "\n",
    "# Merge and truncate to start of celendar year 1999.\n",
    "cpi_ecbr_irtlt = pd.concat([eu_hicp_annual, eu_irt_lt, ecbr], axis=1).loc['1997':]\n",
    "\n",
    "cpi_ecbr_irtlt = cpi_ecbr_irtlt[['EA', 'ECBDFR', 'ECBMLFR', 'DE', 'IT']]\n",
    "\n",
    "DE_YIELD_LABEL = '10y German Government Bond Yield'\n",
    "IT_YIELD_LABEL = '10y Italian Government Bond Yield'\n",
    "ECB_DEPOSIT_RATE_LABEL = 'ECB Deposit Facility Rate'\n",
    "GRAPH_TITLE_HICP = 'Eurozone annual HICP, ECB Deposit Facility and Marginal Lending Rates, and 10y Government Bond Yields'\n",
    "GRAPH_TITLE_HICP_2 = 'Eurozone annual HICP, ECB Deposit Facility, and 10y Government Bond Yields'\n",
    "cpi_ecbr_irtlt.rename(\n",
    "    columns={'EA': 'Annual Eurozone HICP',\n",
    "             'ECBDFR': ECB_DEPOSIT_RATE_LABEL, 'ECBMLFR': 'ECB Marginal Lending Facility Rate',\n",
    "             EUROSTAT_DE_COUNTRY_LABEL: DE_YIELD_LABEL,\n",
    "             EUROSTAT_IT_COUNTRY_LABEL: IT_YIELD_LABEL},\n",
    "    inplace=True)\n",
    "\n",
    "# Querying for non seasonally adjusted, seasonally and calendar adjusted all-items Eurozone GDP data\n",
    "# in chained linked volumes of 2010\n",
    "real_gdp = eurostat.get_data_df('namq_10_gdp', filter_pars={\n",
    "    'startPeriod': report_start, 'unit': 'CLV10_MEUR', 's_adj': ['NSA', 'SCA'], 'na_item': 'B1GQ', 'geo': 'EA'}).iloc[:, 4:]\n",
    "real_gdp = real_gdp.set_index(real_gdp.columns[0]).T\n",
    "real_gdp = real_gdp.set_axis(pd.DatetimeIndex(real_gdp.index, 'QS'))\n",
    "\n",
    "# Seasonally adjusted data is in the second column, it is more suitable for extrapolating GDP quarterly growth\n",
    "# at an annual rate\n",
    "real_gdp_quarterly = ((real_gdp.iloc[:,1]/real_gdp.iloc[:,1].shift(1)).pow(4)-1)\n",
    "real_gdp = real_gdp.iloc[:,:1]\n",
    "real_gdp.rename(columns={'EA': 'Real GDP'}, inplace=True)\n",
    "\n",
    "# To calculate the annual rate of GDP growth I sum up the non-seasonally adjusted GDP over the last 4 quarters.\n",
    "# If Eurostat were publishing seasonally adjusted GDP data at annual volumes (as is the case in the US),\n",
    "# I could calculate the mean over the past 4 quarters and use it as the actual annual GDP. \n",
    "real_gdp = real_gdp.rolling(4).sum().pct_change(4, fill_method=None)\n",
    "real_gdp['Real GDP over quarter at annual rate'] = real_gdp_quarterly\n",
    "real_gdp = real_gdp.loc['1997':]\n",
    "real_gdp.columns.names = [None]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "smooth-forestry",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the mean rate for the current month and, if needed, for the one before too\n",
    "rmth_start = cpi_ecbr_irtlt.index[-2 if pd.isna(cpi_ecbr_irtlt.iloc[-2, -1]) else -1].date()\n",
    "\n",
    "eu_irt_lt_cur_mth = eurostat.get_data_df('irt_lt_mcby_d',\n",
    "        filter_pars={'startPeriod': rmth_start, 'geo': ['DE', 'IT']}).iloc[:, 2:]\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.set_index(eu_irt_lt_cur_mth.columns[0]).T\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.set_axis(pd.DatetimeIndex(eu_irt_lt_cur_mth.index, 'B')).astype(ecbr.dtypes.iloc[0])\n",
    "eu_irt_lt_cur_mth.rename(\n",
    "    columns={EUROSTAT_DE_COUNTRY_LABEL: DE_YIELD_LABEL,\n",
    "             EUROSTAT_IT_COUNTRY_LABEL: IT_YIELD_LABEL},\n",
    "    inplace=True)\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.asfreq('D').resample('MS').mean()\n",
    "cpi_ecbr_irtlt.loc['2022':, [DE_YIELD_LABEL, IT_YIELD_LABEL]].update(eu_irt_lt_cur_mth)\n",
    "cpi_ecbr_irtlt.update(eu_irt_lt_cur_mth)\n",
    "\n",
    "# Convert to percentage points\n",
    "cpi_ecbr_irtlt.iloc[:,[1,2,3,4]] /= 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "blond-shaft",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>ECB Deposit Facility Rate</th>\n",
       "      <th>ECB Marginal Lending Facility Rate</th>\n",
       "      <th>10y German Government Bond Yield</th>\n",
       "      <th>10y Italian Government Bond Yield</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-01-01</th>\n",
       "      <td>0.7650%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>3.7000%</td>\n",
       "      <td>3.9200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-02-01</th>\n",
       "      <td>0.7357%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>3.8500%</td>\n",
       "      <td>4.0500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-03-01</th>\n",
       "      <td>0.9393%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>4.0400%</td>\n",
       "      <td>4.2700%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-04-01</th>\n",
       "      <td>1.0732%</td>\n",
       "      <td>1.5000%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>3.8500%</td>\n",
       "      <td>4.1100%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-05-01</th>\n",
       "      <td>0.9355%</td>\n",
       "      <td>1.5000%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>4.0100%</td>\n",
       "      <td>4.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>2.5660%</td>\n",
       "      <td>4.0000%</td>\n",
       "      <td>4.7500%</td>\n",
       "      <td>2.5200%</td>\n",
       "      <td>3.8400%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>2.5188%</td>\n",
       "      <td>3.7500%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>2.4800%</td>\n",
       "      <td>3.9400%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>2.5778%</td>\n",
       "      <td>3.7500%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>2.4600%</td>\n",
       "      <td>3.8300%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>2.1850%</td>\n",
       "      <td>3.7500%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>2.2077%</td>\n",
       "      <td>3.6833%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.7500%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>2.2900%</td>\n",
       "      <td>3.7500%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>309 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Annual Eurozone HICP  ECB Deposit Facility Rate  \\\n",
       "1999-01-01               0.7650%                    2.0000%   \n",
       "1999-02-01               0.7357%                    2.0000%   \n",
       "1999-03-01               0.9393%                    2.0000%   \n",
       "1999-04-01               1.0732%                    1.5000%   \n",
       "1999-05-01               0.9355%                    1.5000%   \n",
       "...                          ...                        ...   \n",
       "2024-05-01               2.5660%                    4.0000%   \n",
       "2024-06-01               2.5188%                    3.7500%   \n",
       "2024-07-01               2.5778%                    3.7500%   \n",
       "2024-08-01               2.1850%                    3.7500%   \n",
       "2024-09-01                   NaN                    3.7500%   \n",
       "\n",
       "            ECB Marginal Lending Facility Rate  \\\n",
       "1999-01-01                             4.5000%   \n",
       "1999-02-01                             4.5000%   \n",
       "1999-03-01                             4.5000%   \n",
       "1999-04-01                             3.5000%   \n",
       "1999-05-01                             3.5000%   \n",
       "...                                        ...   \n",
       "2024-05-01                             4.7500%   \n",
       "2024-06-01                             4.5000%   \n",
       "2024-07-01                             4.5000%   \n",
       "2024-08-01                             4.5000%   \n",
       "2024-09-01                             4.5000%   \n",
       "\n",
       "            10y German Government Bond Yield  \\\n",
       "1999-01-01                           3.7000%   \n",
       "1999-02-01                           3.8500%   \n",
       "1999-03-01                           4.0400%   \n",
       "1999-04-01                           3.8500%   \n",
       "1999-05-01                           4.0100%   \n",
       "...                                      ...   \n",
       "2024-05-01                           2.5200%   \n",
       "2024-06-01                           2.4800%   \n",
       "2024-07-01                           2.4600%   \n",
       "2024-08-01                           2.2077%   \n",
       "2024-09-01                           2.2900%   \n",
       "\n",
       "            10y Italian Government Bond Yield  \n",
       "1999-01-01                            3.9200%  \n",
       "1999-02-01                            4.0500%  \n",
       "1999-03-01                            4.2700%  \n",
       "1999-04-01                            4.1100%  \n",
       "1999-05-01                            4.2800%  \n",
       "...                                       ...  \n",
       "2024-05-01                            3.8400%  \n",
       "2024-06-01                            3.9400%  \n",
       "2024-07-01                            3.8300%  \n",
       "2024-08-01                            3.6833%  \n",
       "2024-09-01                            3.7500%  \n",
       "\n",
       "[309 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "cpi_ecbr_irtlt.dropna(subset=[ECB_DEPOSIT_RATE_LABEL, DE_YIELD_LABEL, IT_YIELD_LABEL])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "affecting-national",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = cpi_ecbr_irtlt.iloc[:,:2].plot(figsize=(20,10), grid=True,\n",
    "                        title=GRAPH_TITLE_HICP_2,\n",
    "                        xticks=cpi_ecbr_irtlt.index[::12], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "cpi_ecbr_irtlt.iloc[:,3:].plot(ax=ax, linestyle='--', grid=True,\n",
    "                        xticks=cpi_ecbr_irtlt.index[::12], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, cpi_ecbr_irtlt.index[::12])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "direct-system",
   "metadata": {},
   "source": [
    "#### Eurozone HICP  based on monthly and quarterly changes\n",
    "In the previous part of this notebook I looked at HICP based on changes compared to 12 months ago. This is the standard way of determining annual percentage cahnges. Below I look at monthly changes in HICP and then translate them into annual percentage changes using the following simple formula for translating monthly HICP changes into annual percentage changes:\n",
    "\n",
    "$$\\left(\\left({\\text{level of month n+1} \\over \\text{level of month n}}\\right)^{12}-1\\right)\\times 100\\% $$\n",
    "\n",
    "And then the same for translating quarterly changes into annual rates:\n",
    "\n",
    "$$\\left(\\left({\\text{level of month n+1} \\over \\text{level of month n-2}}\\right)^4-1\\right)\\times 100\\% $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "hazardous-tablet",
   "metadata": {},
   "outputs": [],
   "source": [
    "from_date = date(2020, 1, 1)\n",
    "eu_hicp_monthly = eu_hicp.pct_change().loc[from_date:, 'EA']\n",
    "eu_hicp_monthly.rename('Eurozone HICP Change over Prev Month', inplace=True)\n",
    "eu_hicp_annual = ((eu_hicp/eu_hicp.shift(1)).pow(12)-1).loc[from_date:, 'EA'].rename('Eurozone HICP Change over Prev Month at Annual Rate')\n",
    "eu_hicp_quarterly = ((eu_hicp/eu_hicp.shift(3)).pow(4)-1).loc[from_date:, 'EA'].rename('Eurozone HICP Change over Prev 3 Months at Annual Rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "refined-interface",
   "metadata": {},
   "outputs": [],
   "source": [
    "eu_hicp_df = pd.concat([cpi_ecbr_irtlt.loc[from_date:, cpi_ecbr_irtlt.columns[0]], eu_hicp_quarterly, eu_hicp_annual], axis=1).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "nutritional-slide",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>Eurozone HICP Change over Prev 3 Months at Annual Rate</th>\n",
       "      <th>Eurozone HICP Change over Prev Month at Annual Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-09-01</th>\n",
       "      <td>4.3351%</td>\n",
       "      <td>3.1465%</td>\n",
       "      <td>3.9394%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>2.9001%</td>\n",
       "      <td>3.8814%</td>\n",
       "      <td>1.0660%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-11-01</th>\n",
       "      <td>2.3977%</td>\n",
       "      <td>-0.5792%</td>\n",
       "      <td>-6.4496%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-01</th>\n",
       "      <td>2.9290%</td>\n",
       "      <td>-1.2160%</td>\n",
       "      <td>1.9551%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>2.7688%</td>\n",
       "      <td>-2.9851%</td>\n",
       "      <td>-4.2673%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-01</th>\n",
       "      <td>2.5817%</td>\n",
       "      <td>1.6901%</td>\n",
       "      <td>7.7373%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-01</th>\n",
       "      <td>2.4277%</td>\n",
       "      <td>4.1252%</td>\n",
       "      <td>9.4564%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>2.3717%</td>\n",
       "      <td>8.1334%</td>\n",
       "      <td>7.2191%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>2.5660%</td>\n",
       "      <td>6.3870%</td>\n",
       "      <td>2.6011%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>2.5188%</td>\n",
       "      <td>4.1160%</td>\n",
       "      <td>2.5955%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>2.5778%</td>\n",
       "      <td>1.5963%</td>\n",
       "      <td>-0.3785%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>2.1850%</td>\n",
       "      <td>1.3687%</td>\n",
       "      <td>1.9132%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Annual Eurozone HICP  \\\n",
       "2023-09-01               4.3351%   \n",
       "2023-10-01               2.9001%   \n",
       "2023-11-01               2.3977%   \n",
       "2023-12-01               2.9290%   \n",
       "2024-01-01               2.7688%   \n",
       "2024-02-01               2.5817%   \n",
       "2024-03-01               2.4277%   \n",
       "2024-04-01               2.3717%   \n",
       "2024-05-01               2.5660%   \n",
       "2024-06-01               2.5188%   \n",
       "2024-07-01               2.5778%   \n",
       "2024-08-01               2.1850%   \n",
       "\n",
       "            Eurozone HICP Change over Prev 3 Months at Annual Rate  \\\n",
       "2023-09-01                                            3.1465%        \n",
       "2023-10-01                                            3.8814%        \n",
       "2023-11-01                                           -0.5792%        \n",
       "2023-12-01                                           -1.2160%        \n",
       "2024-01-01                                           -2.9851%        \n",
       "2024-02-01                                            1.6901%        \n",
       "2024-03-01                                            4.1252%        \n",
       "2024-04-01                                            8.1334%        \n",
       "2024-05-01                                            6.3870%        \n",
       "2024-06-01                                            4.1160%        \n",
       "2024-07-01                                            1.5963%        \n",
       "2024-08-01                                            1.3687%        \n",
       "\n",
       "            Eurozone HICP Change over Prev Month at Annual Rate  \n",
       "2023-09-01                                            3.9394%    \n",
       "2023-10-01                                            1.0660%    \n",
       "2023-11-01                                           -6.4496%    \n",
       "2023-12-01                                            1.9551%    \n",
       "2024-01-01                                           -4.2673%    \n",
       "2024-02-01                                            7.7373%    \n",
       "2024-03-01                                            9.4564%    \n",
       "2024-04-01                                            7.2191%    \n",
       "2024-05-01                                            2.6011%    \n",
       "2024-06-01                                            2.5955%    \n",
       "2024-07-01                                           -0.3785%    \n",
       "2024-08-01                                            1.9132%    "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_hicp_df.tail(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "impressed-greene",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "cm = sns.color_palette('Blues', as_cmap=True)\n",
    "IDX_FORMAT = '{:%Y-%m}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "requested-resort",
   "metadata": {},
   "outputs": [
    {
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       "  width: 200px;\n",
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       "}\n",
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       "  width: 200px;\n",
       "  background-color: #a9cfe5;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_35bdf\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_35bdf_level0_col0\" class=\"col_heading level0 col0\" >Annual Eurozone HICP</th>\n",
       "      <th id=\"T_35bdf_level0_col1\" class=\"col_heading level0 col1\" >Eurozone HICP Change over Prev 3 Months at Annual Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row0\" class=\"row_heading level0 row0\" >2023-03</th>\n",
       "      <td id=\"T_35bdf_row0_col0\" class=\"data row0 col0\" >6.88%</td>\n",
       "      <td id=\"T_35bdf_row0_col1\" class=\"data row0 col1\" >6.18%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row1\" class=\"row_heading level0 row1\" >2023-04</th>\n",
       "      <td id=\"T_35bdf_row1_col0\" class=\"data row1 col0\" >6.96%</td>\n",
       "      <td id=\"T_35bdf_row1_col1\" class=\"data row1 col1\" >9.82%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row2\" class=\"row_heading level0 row2\" >2023-05</th>\n",
       "      <td id=\"T_35bdf_row2_col0\" class=\"data row2 col0\" >6.10%</td>\n",
       "      <td id=\"T_35bdf_row2_col1\" class=\"data row2 col1\" >6.45%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row3\" class=\"row_heading level0 row3\" >2023-06</th>\n",
       "      <td id=\"T_35bdf_row3_col0\" class=\"data row3 col0\" >5.52%</td>\n",
       "      <td id=\"T_35bdf_row3_col1\" class=\"data row3 col1\" >3.75%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row4\" class=\"row_heading level0 row4\" >2023-07</th>\n",
       "      <td id=\"T_35bdf_row4_col0\" class=\"data row4 col0\" >5.31%</td>\n",
       "      <td id=\"T_35bdf_row4_col1\" class=\"data row4 col1\" >0.78%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row5\" class=\"row_heading level0 row5\" >2023-08</th>\n",
       "      <td id=\"T_35bdf_row5_col0\" class=\"data row5 col0\" >5.24%</td>\n",
       "      <td id=\"T_35bdf_row5_col1\" class=\"data row5 col1\" >2.89%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row6\" class=\"row_heading level0 row6\" >2023-09</th>\n",
       "      <td id=\"T_35bdf_row6_col0\" class=\"data row6 col0\" >4.34%</td>\n",
       "      <td id=\"T_35bdf_row6_col1\" class=\"data row6 col1\" >3.15%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row7\" class=\"row_heading level0 row7\" >2023-10</th>\n",
       "      <td id=\"T_35bdf_row7_col0\" class=\"data row7 col0\" >2.90%</td>\n",
       "      <td id=\"T_35bdf_row7_col1\" class=\"data row7 col1\" >3.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row8\" class=\"row_heading level0 row8\" >2023-11</th>\n",
       "      <td id=\"T_35bdf_row8_col0\" class=\"data row8 col0\" >2.40%</td>\n",
       "      <td id=\"T_35bdf_row8_col1\" class=\"data row8 col1\" >-0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row9\" class=\"row_heading level0 row9\" >2023-12</th>\n",
       "      <td id=\"T_35bdf_row9_col0\" class=\"data row9 col0\" >2.93%</td>\n",
       "      <td id=\"T_35bdf_row9_col1\" class=\"data row9 col1\" >-1.22%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row10\" class=\"row_heading level0 row10\" >2024-01</th>\n",
       "      <td id=\"T_35bdf_row10_col0\" class=\"data row10 col0\" >2.77%</td>\n",
       "      <td id=\"T_35bdf_row10_col1\" class=\"data row10 col1\" >-2.99%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row11\" class=\"row_heading level0 row11\" >2024-02</th>\n",
       "      <td id=\"T_35bdf_row11_col0\" class=\"data row11 col0\" >2.58%</td>\n",
       "      <td id=\"T_35bdf_row11_col1\" class=\"data row11 col1\" >1.69%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row12\" class=\"row_heading level0 row12\" >2024-03</th>\n",
       "      <td id=\"T_35bdf_row12_col0\" class=\"data row12 col0\" >2.43%</td>\n",
       "      <td id=\"T_35bdf_row12_col1\" class=\"data row12 col1\" >4.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row13\" class=\"row_heading level0 row13\" >2024-04</th>\n",
       "      <td id=\"T_35bdf_row13_col0\" class=\"data row13 col0\" >2.37%</td>\n",
       "      <td id=\"T_35bdf_row13_col1\" class=\"data row13 col1\" >8.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row14\" class=\"row_heading level0 row14\" >2024-05</th>\n",
       "      <td id=\"T_35bdf_row14_col0\" class=\"data row14 col0\" >2.57%</td>\n",
       "      <td id=\"T_35bdf_row14_col1\" class=\"data row14 col1\" >6.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row15\" class=\"row_heading level0 row15\" >2024-06</th>\n",
       "      <td id=\"T_35bdf_row15_col0\" class=\"data row15 col0\" >2.52%</td>\n",
       "      <td id=\"T_35bdf_row15_col1\" class=\"data row15 col1\" >4.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row16\" class=\"row_heading level0 row16\" >2024-07</th>\n",
       "      <td id=\"T_35bdf_row16_col0\" class=\"data row16 col0\" >2.58%</td>\n",
       "      <td id=\"T_35bdf_row16_col1\" class=\"data row16 col1\" >1.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_35bdf_level0_row17\" class=\"row_heading level0 row17\" >2024-08</th>\n",
       "      <td id=\"T_35bdf_row17_col0\" class=\"data row17 col0\" >2.18%</td>\n",
       "      <td id=\"T_35bdf_row17_col1\" class=\"data row17 col1\" >1.37%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1257a9490>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_hicp_df = eu_hicp_df.loc[from_date:, eu_hicp_df.columns[0:2]]\n",
    "eu_hicp_df.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=eu_hicp_df.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "played-barcelona",
   "metadata": {},
   "source": [
    "#### Eurozone Real GDP growth\n",
    "I present both growth over the last 4 quarters as well as growth over one quarter, both expressed as annual percentage rates. For growth over one quarter (the 2<sup>nd</sup> column) I use seasonally and calendar adjusted data (Eurostat code `SCA`). For growth over the last 4 quarters (which provides the official annual growth) I use unadjusted data (Eurostat code `NSA`). Unfortunately Eurostat tends to delay publishing unadujusted data, as a result you might occasionally see a NaN value in the last row for it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "consistent-saying",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "#T_93eb3 th {\n",
       "  text-align: right;\n",
       "  width: 100px;\n",
       "}\n",
       "#T_93eb3_row0_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #72b2d8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row0_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #c3daee;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row1_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #d0e2f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row1_col1, #T_93eb3_row3_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #f7fbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row2_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #e7f0fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row2_col1, #T_93eb3_row8_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #08306b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row3_col1, #T_93eb3_row17_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8fc2de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row4_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #eef5fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row4_col1, #T_93eb3_row10_col1, #T_93eb3_row12_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8abfdd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row5_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #5aa2cf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row5_col1, #T_93eb3_row15_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #68acd5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row6_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #2777b8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row6_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #71b1d7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row7_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #084b93;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row7_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #85bcdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row8_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8cc0dd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row9_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #1562a9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row9_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #82bbdb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row10_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #1e6db2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row11_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #3282be;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row11_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #94c4df;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row12_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #4292c6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row13_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #549fcd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row13_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #91c3de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row14_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #63a8d3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_93eb3_row14_col1, #T_93eb3_row15_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #92c4de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row16_col0, #T_93eb3_row17_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #74b3d8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_93eb3_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #8dc1dd;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_93eb3\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_93eb3_level0_col0\" class=\"col_heading level0 col0\" >Real GDP</th>\n",
       "      <th id=\"T_93eb3_level0_col1\" class=\"col_heading level0 col1\" >Real GDP over quarter at annual rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row0\" class=\"row_heading level0 row0\" >2020-01</th>\n",
       "      <td id=\"T_93eb3_row0_col0\" class=\"data row0 col0\" >0.50%</td>\n",
       "      <td id=\"T_93eb3_row0_col1\" class=\"data row0 col1\" >-13.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row1\" class=\"row_heading level0 row1\" >2020-04</th>\n",
       "      <td id=\"T_93eb3_row1_col0\" class=\"data row1 col0\" >-3.39%</td>\n",
       "      <td id=\"T_93eb3_row1_col1\" class=\"data row1 col1\" >-37.37%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row2\" class=\"row_heading level0 row2\" >2020-07</th>\n",
       "      <td id=\"T_93eb3_row2_col0\" class=\"data row2 col0\" >-4.95%</td>\n",
       "      <td id=\"T_93eb3_row2_col1\" class=\"data row2 col1\" >55.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row3\" class=\"row_heading level0 row3\" >2020-10</th>\n",
       "      <td id=\"T_93eb3_row3_col0\" class=\"data row3 col0\" >-6.08%</td>\n",
       "      <td id=\"T_93eb3_row3_col1\" class=\"data row3 col1\" >0.81%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row4\" class=\"row_heading level0 row4\" >2021-01</th>\n",
       "      <td id=\"T_93eb3_row4_col0\" class=\"data row4 col0\" >-5.43%</td>\n",
       "      <td id=\"T_93eb3_row4_col1\" class=\"data row4 col1\" >1.92%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row5\" class=\"row_heading level0 row5\" >2021-04</th>\n",
       "      <td id=\"T_93eb3_row5_col0\" class=\"data row5 col0\" >1.45%</td>\n",
       "      <td id=\"T_93eb3_row5_col1\" class=\"data row5 col1\" >9.80%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row6\" class=\"row_heading level0 row6\" >2021-07</th>\n",
       "      <td id=\"T_93eb3_row6_col0\" class=\"data row6 col0\" >3.81%</td>\n",
       "      <td id=\"T_93eb3_row6_col1\" class=\"data row6 col1\" >7.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row7\" class=\"row_heading level0 row7\" >2021-10</th>\n",
       "      <td id=\"T_93eb3_row7_col0\" class=\"data row7 col0\" >6.18%</td>\n",
       "      <td id=\"T_93eb3_row7_col1\" class=\"data row7 col1\" >2.92%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row8\" class=\"row_heading level0 row8\" >2022-01</th>\n",
       "      <td id=\"T_93eb3_row8_col0\" class=\"data row8 col0\" >7.58%</td>\n",
       "      <td id=\"T_93eb3_row8_col1\" class=\"data row8 col1\" >1.47%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row9\" class=\"row_heading level0 row9\" >2022-04</th>\n",
       "      <td id=\"T_93eb3_row9_col0\" class=\"data row9 col0\" >4.96%</td>\n",
       "      <td id=\"T_93eb3_row9_col1\" class=\"data row9 col1\" >3.68%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row10\" class=\"row_heading level0 row10\" >2022-07</th>\n",
       "      <td id=\"T_93eb3_row10_col0\" class=\"data row10 col0\" >4.33%</td>\n",
       "      <td id=\"T_93eb3_row10_col1\" class=\"data row10 col1\" >2.11%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row11\" class=\"row_heading level0 row11\" >2022-10</th>\n",
       "      <td id=\"T_93eb3_row11_col0\" class=\"data row11 col0\" >3.30%</td>\n",
       "      <td id=\"T_93eb3_row11_col1\" class=\"data row11 col1\" >-0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row12\" class=\"row_heading level0 row12\" >2023-01</th>\n",
       "      <td id=\"T_93eb3_row12_col0\" class=\"data row12 col0\" >2.46%</td>\n",
       "      <td id=\"T_93eb3_row12_col1\" class=\"data row12 col1\" >1.98%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row13\" class=\"row_heading level0 row13\" >2023-04</th>\n",
       "      <td id=\"T_93eb3_row13_col0\" class=\"data row13 col0\" >1.66%</td>\n",
       "      <td id=\"T_93eb3_row13_col1\" class=\"data row13 col1\" >0.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row14\" class=\"row_heading level0 row14\" >2023-07</th>\n",
       "      <td id=\"T_93eb3_row14_col0\" class=\"data row14 col0\" >1.12%</td>\n",
       "      <td id=\"T_93eb3_row14_col1\" class=\"data row14 col1\" >0.19%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row15\" class=\"row_heading level0 row15\" >2023-10</th>\n",
       "      <td id=\"T_93eb3_row15_col0\" class=\"data row15 col0\" >0.91%</td>\n",
       "      <td id=\"T_93eb3_row15_col1\" class=\"data row15 col1\" >0.26%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row16\" class=\"row_heading level0 row16\" >2024-01</th>\n",
       "      <td id=\"T_93eb3_row16_col0\" class=\"data row16 col0\" >0.48%</td>\n",
       "      <td id=\"T_93eb3_row16_col1\" class=\"data row16 col1\" >1.28%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_93eb3_level0_row17\" class=\"row_heading level0 row17\" >2024-04</th>\n",
       "      <td id=\"T_93eb3_row17_col0\" class=\"data row17 col0\" >0.48%</td>\n",
       "      <td id=\"T_93eb3_row17_col1\" class=\"data row17 col1\" >0.77%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x126d3b050>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# real_gdp.loc['2020':]\n",
    "real_gdp.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=real_gdp.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "psychological-trout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = real_gdp.iloc[:,0].plot(figsize=(20,10), grid=True, title='Eurozone Real GDP growth (annual rate)',\n",
    "                   xticks=real_gdp.index[::4], xlabel='', rot=45)#, yticks=np.arange(-.15, .2, 0.025))\n",
    "ax.axhline(y=0, lw=2, c='k')\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2 = ax.twiny()\n",
    "real_gdp.iloc[:,0].plot.bar(ax=ax2, xlabel='', legend=False)\n",
    "ax.axhline(y=real_gdp.iloc[:,0].mean(), ls='--', c='#1f77b4', label='Mean level of Real GDP growth')\n",
    "ax.legend()\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, real_gdp.index[::4])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "formal-compound",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean level of annual rate of real GDP growth in the Euro area since 1997-01-01: 1.65%\n"
     ]
    }
   ],
   "source": [
    "print(f'Mean level of annual rate of real GDP growth in the Euro area since {real_gdp.index[0]:%Y-%m-%d}: '\n",
    "      f'{real_gdp.iloc[:,0].mean():.2%}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "graduate-torture",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Real GDP</th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>10y German Government Bond Yield</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>0.4961%</td>\n",
       "      <td>1.1090%</td>\n",
       "      <td>-0.4400%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>-3.3918%</td>\n",
       "      <td>0.2217%</td>\n",
       "      <td>-0.4667%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>-4.9546%</td>\n",
       "      <td>-0.0313%</td>\n",
       "      <td>-0.5200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-01</th>\n",
       "      <td>-6.0767%</td>\n",
       "      <td>-0.2754%</td>\n",
       "      <td>-0.6133%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>-5.4296%</td>\n",
       "      <td>1.0597%</td>\n",
       "      <td>-0.4633%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>1.4502%</td>\n",
       "      <td>1.8360%</td>\n",
       "      <td>-0.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>3.8109%</td>\n",
       "      <td>2.8279%</td>\n",
       "      <td>-0.4500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>6.1837%</td>\n",
       "      <td>4.6274%</td>\n",
       "      <td>-0.3000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-01</th>\n",
       "      <td>7.5835%</td>\n",
       "      <td>6.1422%</td>\n",
       "      <td>0.1033%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-04-01</th>\n",
       "      <td>4.9553%</td>\n",
       "      <td>8.0453%</td>\n",
       "      <td>1.0500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-01</th>\n",
       "      <td>4.3327%</td>\n",
       "      <td>9.3113%</td>\n",
       "      <td>1.3033%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-01</th>\n",
       "      <td>3.2987%</td>\n",
       "      <td>9.9572%</td>\n",
       "      <td>2.1167%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>2.4585%</td>\n",
       "      <td>8.0105%</td>\n",
       "      <td>2.3133%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>1.6624%</td>\n",
       "      <td>6.1931%</td>\n",
       "      <td>2.3600%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01</th>\n",
       "      <td>1.1167%</td>\n",
       "      <td>4.9630%</td>\n",
       "      <td>2.5567%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>0.9082%</td>\n",
       "      <td>2.7423%</td>\n",
       "      <td>2.5067%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>0.4751%</td>\n",
       "      <td>2.5927%</td>\n",
       "      <td>2.2867%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>0.4814%</td>\n",
       "      <td>2.4855%</td>\n",
       "      <td>2.4833%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Real GDP  Annual Eurozone HICP  10y German Government Bond Yield\n",
       "2020-01-01   0.4961%               1.1090%                          -0.4400%\n",
       "2020-04-01  -3.3918%               0.2217%                          -0.4667%\n",
       "2020-07-01  -4.9546%              -0.0313%                          -0.5200%\n",
       "2020-10-01  -6.0767%              -0.2754%                          -0.6133%\n",
       "2021-01-01  -5.4296%               1.0597%                          -0.4633%\n",
       "2021-04-01   1.4502%               1.8360%                          -0.2800%\n",
       "2021-07-01   3.8109%               2.8279%                          -0.4500%\n",
       "2021-10-01   6.1837%               4.6274%                          -0.3000%\n",
       "2022-01-01   7.5835%               6.1422%                           0.1033%\n",
       "2022-04-01   4.9553%               8.0453%                           1.0500%\n",
       "2022-07-01   4.3327%               9.3113%                           1.3033%\n",
       "2022-10-01   3.2987%               9.9572%                           2.1167%\n",
       "2023-01-01   2.4585%               8.0105%                           2.3133%\n",
       "2023-04-01   1.6624%               6.1931%                           2.3600%\n",
       "2023-07-01   1.1167%               4.9630%                           2.5567%\n",
       "2023-10-01   0.9082%               2.7423%                           2.5067%\n",
       "2024-01-01   0.4751%               2.5927%                           2.2867%\n",
       "2024-04-01   0.4814%               2.4855%                           2.4833%"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Including only the yield on German government bonds as those of Italy are not AAA rated and cannot be regarded\n",
    "# as riskfree\n",
    "df = pd.concat([real_gdp.iloc[:,0], cpi_ecbr_irtlt.iloc[:,[0,3]].resample('QS').mean()], axis=1)\\\n",
    "    .loc[:real_gdp.last_valid_index()] # Truncate based on last valid GDP value\n",
    "df.loc['2020':]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "suspected-requirement",
   "metadata": {},
   "source": [
    "### Visualizing the relationship between 10y German Bund Yield and the Intrinsic Riskfree rate (real GDP growth + inflation rates)\n",
    "I use Germany 10-year government bond yield as a representative of a Eurozone central government bond with an AAA credit rating in the below graph. It is a proxy for the actual long-term riskfree rate in the Eurozone. I compare it with the intrinsic riskfree rate as defined by the sum of real GDP growth and inflation rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "median-particle",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.iloc[:, -1].plot(figsize=(20,10), grid=True,\n",
    "                         title='Annual HICP and Real GDP vs ' + DE_YIELD_LABEL,\n",
    "                         xticks=df.index[::2], xlabel='', rot=45,\n",
    "                         yticks=np.arange(-.15, .2, 0.025), linestyle='--', color='k')\n",
    "ax2 = ax.twiny()\n",
    "df.iloc[:,[0,1]].plot.bar(ax=ax2, xlabel='', stacked=True)\n",
    "ax.legend(loc='upper center')\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, df.index[::2])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "polyphonic-import",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates: 0.48%\n",
      "Compared with: 0.78% one quarter earlier\n"
     ]
    }
   ],
   "source": [
    "print('Gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates: {:.2%}\\n'\n",
    "      'Compared with: {:.2%} one quarter earlier'.format(\n",
    "    df.iloc[-1,0] + df.iloc[-1,1] - df.iloc[-1,2], df.iloc[-2,0] + df.iloc[-2,1] - df.iloc[-2,2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cheap-washington",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since 1997-01: 1.12%\n"
     ]
    }
   ],
   "source": [
    "print('Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since {:%Y-%m}: {:.2%}'\n",
    "      .format(df.index[0], df.iloc[:,0].mean() + df.iloc[:,1].mean() - df.iloc[:,2].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "located-envelope",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since 2009-01: 1.89%\n"
     ]
    }
   ],
   "source": [
    "from_dt = date(2009, 1, 1)\n",
    "means = df.loc[from_dt:].mean()\n",
    "print('Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since {:%Y-%m}: {:.2%}'\n",
    "      .format(from_dt, means.iloc[0] + means.iloc[1] - means.iloc[2]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rotary-complement",
   "metadata": {},
   "source": [
    "## A quick look at wage inflation in the Eurozone\n",
    "In contrast to U.S. Bureau of Labor Statistics, unfortunately Eurostat typically lags by one quarter in publishing data on wage inflation and publishes them only with quarterly frequencies.\n",
    "\n",
    "I use the following dataseries provided by [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `lc_lci_r2_q` &mdash; Labour cost index by NACE Rev. 2 activity - nominal value, quarterly data. This series returns a MultiIndexed dataset containing different views on this data for the Eurozone as a whole as whell as for each individual country in the EU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "objective-humidity",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seasonally and calendar-adjusted, 2020=100\n",
    "# NACE Rev 2. Sections B to S from 2009Q1 onward\n",
    "# Labour cost for LCI (compensation of employees plus taxes minus subsidies): D1_D4_MD5\n",
    "eu_wagei = eurostat.get_data_df('lc_lci_r2_q',\n",
    "        filter_pars={'startPeriod': report_start, 's_adj': 'SCA', 'unit': 'I20',\n",
    "                     'nace_r2': 'B-S', 'lcstruct': 'D1_D4_MD5', 'geo': 'EA'}).iloc[:, 5:]\n",
    "eu_wagei = eu_wagei.set_index(eu_wagei.columns[0]).T\n",
    "eu_wagei = eu_wagei.set_axis(pd.DatetimeIndex(eu_wagei.index, 'QS'))\n",
    "eu_wagei.dropna(inplace=True)\n",
    "eu_wagei_quarterly = (eu_wagei/eu_wagei.shift()).pow(4) - 1\n",
    "eu_wagei_quarterly.rename(columns={'EA': 'Hourly Earnings Change Over Last Quarter at Annual Rate'}, inplace=True)\n",
    "eu_wagei = eu_wagei.pct_change(4, fill_method=None).dropna()\n",
    "eu_wagei.rename(columns={'EA': 'Hourly Earnings Annual Percentage Change'}, inplace=True)\n",
    "\n",
    "cpi_and_wagei = pd.concat([cpi_ecbr_irtlt.iloc[:,0].resample('QS').last().loc[eu_wagei.index[0]:], eu_wagei], axis=1)\\\n",
    "     .loc[:date.today()-relativedelta(months=+3)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "becoming-burner",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mean level of Wage Inflation, and HICP\n",
    "mean_level_wagei = eu_wagei.iloc[:,0].mean()\n",
    "mean_level_cpi = cpi_ecbr_irtlt.iloc[:,0].mean()\n",
    "\n",
    "LABEL_MEAN_WAGEI = 'Mean Level of Annual Changes in Labour Costs'\n",
    "LABEL_MEAN_CPI = 'Mean Level of Annual Changes in HICP'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "divine-marble",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = cpi_and_wagei.plot(figsize=(20,10), grid=True,\n",
    "                        title='Eurozone Annual HICP and Hourly Earnings',\n",
    "                        xticks=cpi_and_wagei.index[::2], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "#ax.axhline(y=mean_level_cpi, lw=2, ls='--', c='#1f77b4', label=LABEL_MEAN_CPI)\n",
    "ax.axhline(y=mean_level_wagei, lw=2, ls='--', c='#ff7f0e', label=LABEL_MEAN_WAGEI)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, cpi_and_wagei.index[::2])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "convinced-antenna",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labour costs annual growth +2.23% above the historic mean of 2.27% in quarter starting on 2024-01-01\n"
     ]
    }
   ],
   "source": [
    "print('Labour costs annual growth {:+.2%} above the historic mean of {:.2%} in quarter starting on {:%Y-%m-%d}'\n",
    "      .format(eu_wagei.iloc[-1,0]-mean_level_wagei, mean_level_wagei, eu_wagei.index[-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "wound-motorcycle",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  background-color: #084387;\n",
       "  color: #f1f1f1;\n",
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       "#T_c3750_row12_col0 {\n",
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       "  background-color: #2e7ebc;\n",
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       "  width: 200px;\n",
       "  background-color: #549fcd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_c3750_row14_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #7db8da;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_c3750_row15_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #b0d2e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_c3750_row16_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #c1d9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_c3750_row17_col0 {\n",
       "  width: 200px;\n",
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       "</style>\n",
       "<table id=\"T_c3750\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_c3750_level0_col0\" class=\"col_heading level0 col0\" >Annual Eurozone HICP</th>\n",
       "      <th id=\"T_c3750_level0_col1\" class=\"col_heading level0 col1\" >Hourly Earnings Annual Percentage Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row0\" class=\"row_heading level0 row0\" >2020-01</th>\n",
       "      <td id=\"T_c3750_row0_col0\" class=\"data row0 col0\" >0.75%</td>\n",
       "      <td id=\"T_c3750_row0_col1\" class=\"data row0 col1\" >3.95%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row1\" class=\"row_heading level0 row1\" >2020-04</th>\n",
       "      <td id=\"T_c3750_row1_col0\" class=\"data row1 col0\" >0.27%</td>\n",
       "      <td id=\"T_c3750_row1_col1\" class=\"data row1 col1\" >2.99%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row2\" class=\"row_heading level0 row2\" >2020-07</th>\n",
       "      <td id=\"T_c3750_row2_col0\" class=\"data row2 col0\" >-0.31%</td>\n",
       "      <td id=\"T_c3750_row2_col1\" class=\"data row2 col1\" >2.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row3\" class=\"row_heading level0 row3\" >2020-10</th>\n",
       "      <td id=\"T_c3750_row3_col0\" class=\"data row3 col0\" >-0.27%</td>\n",
       "      <td id=\"T_c3750_row3_col1\" class=\"data row3 col1\" >2.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row4\" class=\"row_heading level0 row4\" >2021-01</th>\n",
       "      <td id=\"T_c3750_row4_col0\" class=\"data row4 col0\" >1.33%</td>\n",
       "      <td id=\"T_c3750_row4_col1\" class=\"data row4 col1\" >0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row5\" class=\"row_heading level0 row5\" >2021-04</th>\n",
       "      <td id=\"T_c3750_row5_col0\" class=\"data row5 col0\" >1.90%</td>\n",
       "      <td id=\"T_c3750_row5_col1\" class=\"data row5 col1\" >-0.40%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row6\" class=\"row_heading level0 row6\" >2021-07</th>\n",
       "      <td id=\"T_c3750_row6_col0\" class=\"data row6 col0\" >3.36%</td>\n",
       "      <td id=\"T_c3750_row6_col1\" class=\"data row6 col1\" >1.80%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row7\" class=\"row_heading level0 row7\" >2021-10</th>\n",
       "      <td id=\"T_c3750_row7_col0\" class=\"data row7 col0\" >4.96%</td>\n",
       "      <td id=\"T_c3750_row7_col1\" class=\"data row7 col1\" >2.40%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row8\" class=\"row_heading level0 row8\" >2022-01</th>\n",
       "      <td id=\"T_c3750_row8_col0\" class=\"data row8 col0\" >7.44%</td>\n",
       "      <td id=\"T_c3750_row8_col1\" class=\"data row8 col1\" >3.80%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row9\" class=\"row_heading level0 row9\" >2022-04</th>\n",
       "      <td id=\"T_c3750_row9_col0\" class=\"data row9 col0\" >8.64%</td>\n",
       "      <td id=\"T_c3750_row9_col1\" class=\"data row9 col1\" >5.53%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row10\" class=\"row_heading level0 row10\" >2022-07</th>\n",
       "      <td id=\"T_c3750_row10_col0\" class=\"data row10 col0\" >9.93%</td>\n",
       "      <td id=\"T_c3750_row10_col1\" class=\"data row10 col1\" >3.63%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row11\" class=\"row_heading level0 row11\" >2022-10</th>\n",
       "      <td id=\"T_c3750_row11_col0\" class=\"data row11 col0\" >9.20%</td>\n",
       "      <td id=\"T_c3750_row11_col1\" class=\"data row11 col1\" >5.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row12\" class=\"row_heading level0 row12\" >2023-01</th>\n",
       "      <td id=\"T_c3750_row12_col0\" class=\"data row12 col0\" >6.88%</td>\n",
       "      <td id=\"T_c3750_row12_col1\" class=\"data row12 col1\" >5.01%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row13\" class=\"row_heading level0 row13\" >2023-04</th>\n",
       "      <td id=\"T_c3750_row13_col0\" class=\"data row13 col0\" >5.52%</td>\n",
       "      <td id=\"T_c3750_row13_col1\" class=\"data row13 col1\" >4.67%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row14\" class=\"row_heading level0 row14\" >2023-07</th>\n",
       "      <td id=\"T_c3750_row14_col0\" class=\"data row14 col0\" >4.34%</td>\n",
       "      <td id=\"T_c3750_row14_col1\" class=\"data row14 col1\" >5.21%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row15\" class=\"row_heading level0 row15\" >2023-10</th>\n",
       "      <td id=\"T_c3750_row15_col0\" class=\"data row15 col0\" >2.93%</td>\n",
       "      <td id=\"T_c3750_row15_col1\" class=\"data row15 col1\" >3.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row16\" class=\"row_heading level0 row16\" >2024-01</th>\n",
       "      <td id=\"T_c3750_row16_col0\" class=\"data row16 col0\" >2.43%</td>\n",
       "      <td id=\"T_c3750_row16_col1\" class=\"data row16 col1\" >4.50%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c3750_level0_row17\" class=\"row_heading level0 row17\" >2024-04</th>\n",
       "      <td id=\"T_c3750_row17_col0\" class=\"data row17 col0\" >2.52%</td>\n",
       "      <td id=\"T_c3750_row17_col1\" class=\"data row17 col1\" >nan%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x126d3b380>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpi_and_wagei = cpi_and_wagei.loc[from_date:, cpi_and_wagei.columns[0:2]]\n",
    "cpi_and_wagei.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=cpi_and_wagei.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "confidential-routine",
   "metadata": {},
   "source": [
    "## Analyzing Euro Riskless Rate Curve\n",
    "In this analysis I make use of the spot rates (aka zero-rates) implied by AAA-rated governmental bonds in the Euro area.\n",
    "\n",
    "I use the following dataseries provided by the [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `irt_euryld_m` &mdash; Euro yield curves (monthly frequency). This series returns a MultiIndexed dataset from which multiple yields can be extraced: Instantaneous forward yield curve, Par yield curve, and Spot rate yield curve. In my analysis I use the Spor rate yield curve. The returned rates are presented using Annual percentage rates/yields and represent the average over all business days in a given month. [The ECB uses continuous compounding](https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_area_yield_curves/shared/pdf/technical_notes.pdf) when calculating them.\n",
    "* `irt_st_m` &mdash; Euro EURIBOR rates (monthly frequency). EURIBOR uses the actual/360 daycount convention. This series returns a MultiIndexed dataset allowing to select different maturities. I only use the 1 month rates in this notebook as the spread between government bond rates and EURIBOR tends to increase with longer maturities. Rates returned represent the average over all business days in a given month.\n",
    "\n",
    "And one dataset from [FRED](https://fred.stlouisfed.org):\n",
    "* `ECBDFR` &mdash; ECB Deposit Facility Rate for Euro Area (daily frequency). I use it as proxy for overnight rate after downsampling to monthly frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "introductory-norfolk",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The ECB provides yields for maturities ranging from 3 months till 30 years\n",
    "year_maturities = range(1, 31)\n",
    "maturities = ['Y'+str(maturity) for maturity in year_maturities]\n",
    "\n",
    "# Taking the last 3 months and converting to decimal fractions\n",
    "euro_curves = eurostat.get_data_df('irt_euryld_m', filter_pars={\n",
    "    'startPeriod': (report_end-MonthBegin(4)).date(), 'freq': 'M',\n",
    "    'yld_curv': 'SPOT_RT',\n",
    "    'maturity': maturities,\n",
    "    'bonds': 'CGB_EA_AAA', 'geo': 'EA'})\n",
    "euro_curves = euro_curves.drop(euro_curves.columns[:3].append(euro_curves.columns[4:5]), axis=1)\n",
    "euro_curves = euro_curves.set_index(euro_curves.columns[0]).T / 100.\n",
    "euro_spot_rates = euro_curves.set_axis(pd.DatetimeIndex(euro_curves.index, 'MS'))\n",
    "\n",
    "mm_rates = eurostat.get_data_df('irt_st_m', filter_pars={\n",
    "    'startPeriod': (report_end-MonthBegin(4)).date(), 'freq': 'M',\n",
    "    'int_rt': 'IRT_M1', 'geo': 'EA'}).iloc[:,2:]\n",
    "mm_rates = mm_rates.set_index(mm_rates.columns[0]).T / 100.\n",
    "mm_rates = mm_rates.set_axis(pd.DatetimeIndex(mm_rates.index, 'MS'))\n",
    "\n",
    "ecb_deposit_rate = web.get_data_fred('ECBDFR', start=report_end-MonthBegin(4)) / 100.\n",
    "\n",
    "# Resample to monthly frequency\n",
    "ecb_deposit_rate = ecb_deposit_rate.asfreq('D').resample('MS').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "auburn-prague",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting EURIBOR and ECB Deposit rates from actual/360 to actual/actual and then to continuous compounding\n",
    "leap_year_cond = lambda idx: idx.year % 4 == 0 & ((idx.year % 100 != 0) | (idx.year % 400 == 0))\n",
    "mm_rates[leap_year_cond(mm_rates.index)] *= 366. / 360\n",
    "mm_rates[np.invert(leap_year_cond(mm_rates.index))] *= 365. / 360\n",
    "ecb_deposit_rate[leap_year_cond(ecb_deposit_rate.index)] *= 366. / 360\n",
    "ecb_deposit_rate[np.invert(leap_year_cond(ecb_deposit_rate.index))] *= 365. / 360\n",
    "\n",
    "\n",
    "# From annual to continuous compounding\n",
    "ecb_deposit_rate = np.log(1 + ecb_deposit_rate)\n",
    "mm_rates = np.log(1 + mm_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "common-paris",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>maturity</th>\n",
       "      <th>1 month</th>\n",
       "      <th>Y1</th>\n",
       "      <th>Y2</th>\n",
       "      <th>Y3</th>\n",
       "      <th>Y4</th>\n",
       "      <th>Y5</th>\n",
       "      <th>Y6</th>\n",
       "      <th>Y7</th>\n",
       "      <th>Y8</th>\n",
       "      <th>Y9</th>\n",
       "      <th>...</th>\n",
       "      <th>Y21</th>\n",
       "      <th>Y22</th>\n",
       "      <th>Y23</th>\n",
       "      <th>Y24</th>\n",
       "      <th>Y25</th>\n",
       "      <th>Y26</th>\n",
       "      <th>Y27</th>\n",
       "      <th>Y28</th>\n",
       "      <th>Y29</th>\n",
       "      <th>Y30</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>3.6286%</td>\n",
       "      <td>3.1848%</td>\n",
       "      <td>2.8703%</td>\n",
       "      <td>2.6683%</td>\n",
       "      <td>2.5473%</td>\n",
       "      <td>2.4838%</td>\n",
       "      <td>2.4600%</td>\n",
       "      <td>2.4630%</td>\n",
       "      <td>2.4832%</td>\n",
       "      <td>2.5134%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7617%</td>\n",
       "      <td>2.7565%</td>\n",
       "      <td>2.7481%</td>\n",
       "      <td>2.7369%</td>\n",
       "      <td>2.7231%</td>\n",
       "      <td>2.7071%</td>\n",
       "      <td>2.6891%</td>\n",
       "      <td>2.6694%</td>\n",
       "      <td>2.6483%</td>\n",
       "      <td>2.6260%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>3.6118%</td>\n",
       "      <td>3.0876%</td>\n",
       "      <td>2.7795%</td>\n",
       "      <td>2.5816%</td>\n",
       "      <td>2.4643%</td>\n",
       "      <td>2.4050%</td>\n",
       "      <td>2.3866%</td>\n",
       "      <td>2.3960%</td>\n",
       "      <td>2.4234%</td>\n",
       "      <td>2.4615%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7785%</td>\n",
       "      <td>2.7746%</td>\n",
       "      <td>2.7668%</td>\n",
       "      <td>2.7557%</td>\n",
       "      <td>2.7414%</td>\n",
       "      <td>2.7245%</td>\n",
       "      <td>2.7052%</td>\n",
       "      <td>2.6839%</td>\n",
       "      <td>2.6609%</td>\n",
       "      <td>2.6363%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>3.5914%</td>\n",
       "      <td>2.7880%</td>\n",
       "      <td>2.3919%</td>\n",
       "      <td>2.1966%</td>\n",
       "      <td>2.1177%</td>\n",
       "      <td>2.1050%</td>\n",
       "      <td>2.1290%</td>\n",
       "      <td>2.1717%</td>\n",
       "      <td>2.2225%</td>\n",
       "      <td>2.2751%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5505%</td>\n",
       "      <td>2.5451%</td>\n",
       "      <td>2.5368%</td>\n",
       "      <td>2.5260%</td>\n",
       "      <td>2.5129%</td>\n",
       "      <td>2.4980%</td>\n",
       "      <td>2.4813%</td>\n",
       "      <td>2.4631%</td>\n",
       "      <td>2.4437%</td>\n",
       "      <td>2.4232%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "maturity    1 month      Y1      Y2      Y3      Y4      Y5      Y6      Y7  \\\n",
       "2024-06-01  3.6286% 3.1848% 2.8703% 2.6683% 2.5473% 2.4838% 2.4600% 2.4630%   \n",
       "2024-07-01  3.6118% 3.0876% 2.7795% 2.5816% 2.4643% 2.4050% 2.3866% 2.3960%   \n",
       "2024-08-01  3.5914% 2.7880% 2.3919% 2.1966% 2.1177% 2.1050% 2.1290% 2.1717%   \n",
       "\n",
       "maturity        Y8      Y9  ...     Y21     Y22     Y23     Y24     Y25  \\\n",
       "2024-06-01 2.4832% 2.5134%  ... 2.7617% 2.7565% 2.7481% 2.7369% 2.7231%   \n",
       "2024-07-01 2.4234% 2.4615%  ... 2.7785% 2.7746% 2.7668% 2.7557% 2.7414%   \n",
       "2024-08-01 2.2225% 2.2751%  ... 2.5505% 2.5451% 2.5368% 2.5260% 2.5129%   \n",
       "\n",
       "maturity       Y26     Y27     Y28     Y29     Y30  \n",
       "2024-06-01 2.7071% 2.6891% 2.6694% 2.6483% 2.6260%  \n",
       "2024-07-01 2.7245% 2.7052% 2.6839% 2.6609% 2.6363%  \n",
       "2024-08-01 2.4980% 2.4813% 2.4631% 2.4437% 2.4232%  \n",
       "\n",
       "[3 rows x 31 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mm_rates.columns.rename(euro_spot_rates.columns.name, inplace=True)\n",
    "mm_rates.rename(columns={'EA': '1 month'}, inplace=True)\n",
    "pd.concat([mm_rates, euro_spot_rates], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "acceptable-imperial",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_now = euro_spot_rates.index[-1].date()\n",
    "date_1_mth_ago = date_now + relativedelta(months=-1)\n",
    "date_2_mth_ago = date_now + relativedelta(months=-2)\n",
    "offsets = [relativedelta(years=+maturity) for maturity in year_maturities]\n",
    "monthly_offsets = [relativedelta(), relativedelta(months=+1)] #, relativedelta(months=+3), relativedelta(months=+6)]\n",
    "offsets = monthly_offsets + offsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "consistent-situation",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Euro yield curves\n",
    "curve = curves.YieldCurve(date_now, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate.loc[str(mm_rates.index[-1])].to_numpy(), mm_rates.iloc[-1].to_numpy()),\n",
    "            euro_spot_rates.iloc[-1].to_numpy()), compounding_freq=0)\n",
    "curve_1_mth_ago = curves.YieldCurve(date_1_mth_ago, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:], mm_rates[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:]),\n",
    "            euro_spot_rates[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:]), compounding_freq=0)\n",
    "curve_2_mth_ago = curves.YieldCurve(date_2_mth_ago, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:], mm_rates[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:]),\n",
    "            euro_spot_rates[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:]), compounding_freq=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "destroyed-postage",
   "metadata": {},
   "outputs": [],
   "source": [
    "curve_points = curve.get_curve_points(120)\n",
    "curve_points_1_mth_ago = curve_1_mth_ago.get_curve_points(120)\n",
    "curve_points_2_mth_ago = curve_2_mth_ago.get_curve_points(120)\n",
    "curve_points.rename('Euro riskless rate', inplace=True)\n",
    "curve_points_1_mth_ago.rename(curve_points.name + ' (1 month prior)', inplace=True)\n",
    "curve_points_2_mth_ago.rename(curve_points.name + ' (2 months prior)', inplace=True)\n",
    "\n",
    "# Replacing indices for sake of better visualization\n",
    "curve_points_1_mth_ago = curve_points_1_mth_ago.set_axis(curve_points.index)\n",
    "curve_points_2_mth_ago = curve_points_2_mth_ago.set_axis(curve_points.index)\n",
    "df = pd.concat([curve_points, curve_points_1_mth_ago, curve_points_2_mth_ago], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "going-standard",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Euro riskless rate</th>\n",
       "      <th>Euro riskless rate (1 month prior)</th>\n",
       "      <th>Euro riskless rate (2 months prior)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>3.7416%</td>\n",
       "      <td>3.7416%</td>\n",
       "      <td>3.8314%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>3.3562%</td>\n",
       "      <td>3.4148%</td>\n",
       "      <td>3.3113%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-02-01</th>\n",
       "      <td>3.0935%</td>\n",
       "      <td>3.2343%</td>\n",
       "      <td>3.1288%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-05-04</th>\n",
       "      <td>2.9154%</td>\n",
       "      <td>3.1433%</td>\n",
       "      <td>3.1362%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-08-04</th>\n",
       "      <td>2.7835%</td>\n",
       "      <td>3.0854%</td>\n",
       "      <td>3.1859%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053-07-30</th>\n",
       "      <td>2.4438%</td>\n",
       "      <td>2.6611%</td>\n",
       "      <td>2.6486%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053-10-30</th>\n",
       "      <td>2.4387%</td>\n",
       "      <td>2.6550%</td>\n",
       "      <td>2.6430%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-01-30</th>\n",
       "      <td>2.4335%</td>\n",
       "      <td>2.6489%</td>\n",
       "      <td>2.6374%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-05-02</th>\n",
       "      <td>2.4284%</td>\n",
       "      <td>2.6427%</td>\n",
       "      <td>2.6317%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-08-03</th>\n",
       "      <td>2.4232%</td>\n",
       "      <td>2.6363%</td>\n",
       "      <td>2.6260%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Euro riskless rate  Euro riskless rate (1 month prior)  \\\n",
       "2024-08-01             3.7416%                             3.7416%   \n",
       "2024-11-01             3.3562%                             3.4148%   \n",
       "2025-02-01             3.0935%                             3.2343%   \n",
       "2025-05-04             2.9154%                             3.1433%   \n",
       "2025-08-04             2.7835%                             3.0854%   \n",
       "...                        ...                                 ...   \n",
       "2053-07-30             2.4438%                             2.6611%   \n",
       "2053-10-30             2.4387%                             2.6550%   \n",
       "2054-01-30             2.4335%                             2.6489%   \n",
       "2054-05-02             2.4284%                             2.6427%   \n",
       "2054-08-03             2.4232%                             2.6363%   \n",
       "\n",
       "            Euro riskless rate (2 months prior)  \n",
       "2024-08-01                              3.8314%  \n",
       "2024-11-01                              3.3113%  \n",
       "2025-02-01                              3.1288%  \n",
       "2025-05-04                              3.1362%  \n",
       "2025-08-04                              3.1859%  \n",
       "...                                         ...  \n",
       "2053-07-30                              2.6486%  \n",
       "2053-10-30                              2.6430%  \n",
       "2054-01-30                              2.6374%  \n",
       "2054-05-02                              2.6317%  \n",
       "2054-08-03                              2.6260%  \n",
       "\n",
       "[120 rows x 3 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "conscious-gnome",
   "metadata": {},
   "source": [
    "#### Compounding frequency\n",
    "The rates presented throught this notebook use a continuous compounding frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "catholic-welcome",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.iloc[:,0:1].plot(figsize=(20,10), grid=True,\n",
    "             title='Euro Riskless Rate Curve over month ' + date_now.strftime('%Y-%m'),\n",
    "             xlim=(df.index[0], df.index[-1]), xticks=df.index[::4], xlabel='', rot=45)\n",
    "df.iloc[:,1:2].plot(ax=ax, grid=True, xticks=df.index[::4], rot=45, linestyle='--', color=['#1f77b4'])\n",
    "df.iloc[:,2:3].plot(ax=ax, grid=True, xticks=df.index[::4], rot=45, linestyle=':', color=['#1f77b4'])\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, df.index[::4])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "valued-baseline",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of -23.00bps between 2024-08 and 2024-07 across maturities\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bps between {:%Y-%m} and {:%Y-%m} across maturities'.format(\n",
    "    (df.iloc[:,0]-df.iloc[:,1]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "sexual-house",
   "metadata": {},
   "outputs": [],
   "source": [
    "year_split = date(2033, 11, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "parliamentary-conflict",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of -27.28bps between 2024-08 and 2024-07 for maturities up to 2033-11\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bps between {:%Y-%m} and {:%Y-%m} for maturities up to {:%Y-%m}'.format(\n",
    "    (df.loc[:year_split,df.columns[0]]-df.loc[:year_split,df.columns[1]]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date(), year_split))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fatty-crawford",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of -21.09bp between 2024-08 and 2024-07 for maturities from 2033-11\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bp between {:%Y-%m} and {:%Y-%m} for maturities from {:%Y-%m}'.format(\n",
    "    (df.loc[year_split:,df.columns[0]]-df.loc[year_split:,df.columns[1]]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date(), year_split))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "technological-convention",
   "metadata": {},
   "outputs": [],
   "source": [
    "offset_in_years = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "acting-mechanics",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average short-term (<3y) riskless yield: 2.73%\n"
     ]
    }
   ],
   "source": [
    "print('Average short-term (<{:d}y) riskless yield: {:.2%}'.format(offset_in_years,\n",
    "    df.loc[:(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)),df.columns[0]].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "damaged-composite",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average long-term (>3y) riskless yield: 2.41%\n"
     ]
    }
   ],
   "source": [
    "print('Average long-term (>{:d}y) riskless yield: {:.2%}'.format(offset_in_years,\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "greek-input",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Long-term (>3y) riskless yield: 2.10%-2.55%\n"
     ]
    }
   ],
   "source": [
    "print('Long-term (>{:d}y) riskless yield: {:.2%}-{:.2%}'.format(offset_in_years,\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].min(),\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "bizarre-mount",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   3.7416%\n",
       "dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "affiliated-fifth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   2.1038%\n",
       "dtype: float64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "loose-charles",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   2029-05-16\n",
       "dtype: datetime64[ns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].idxmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "associate-polish",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(-0.0020283000000000002)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[-1,0]-df.iloc[-1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d70bef75-cf66-4daa-8208-1969b532a806",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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