12 dividend_yield_for_MOEX_and_SP500.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "<a href=\"https://colab.research.google.com/github/mbk-dev/publications_RUS/blob/main/12%20dividend_yield_for_MOEX_and_SP500.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Статья [Дивидендная доходность Индекса МосБиржи и S&P500 за 10 лет](https://rostsber.ru/publish/stocks/dividend_yield_micex_2021.html) на блоге \"Рост Сбережений\"."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "!pip install okama"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "import okama as ok"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Дивидендная доходность индекса"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "$TR_n$ - полная доходность индекса в день n\n",
    "$I_n$ - ценовая доходность индекса в день n\n",
    "$ID_n$ - полученные дивиденды"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "$$ TR_n = \\frac{I_n + ID_n}{I_{n-1}} $$"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Дивидендная доходность индекса это $ID_n / I_{n-1}$:\n",
    "$$ \\frac{ID_n}{I_{n-1}} = TR_n - (\\frac{I_n}{I_{n-1}} - 1)$$\n",
    "$I_n  / I_{n-1} - 1$ - ценовая доходность"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Функция рисования столбчатой диаграммы дивидендной доходности"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "def plot_dividend_yield(first_year: str,\n",
    "                        last_year: str,\n",
    "                        title: str,\n",
    "                        df_price: pd.DataFrame,\n",
    "                        df_div: pd.DataFrame,\n",
    "                        infl: pd.Series):\n",
    "    bar_width = 300  # ширина столбца диаграммы\n",
    "    x_axis = df_price[str(first_year): str(last_year)].index.to_timestamp()\n",
    "\n",
    "    fig = plt.figure()\n",
    "    ax = fig.add_axes([0, 0, 1, 1])\n",
    "    # бары ценовой доходности\n",
    "    ax.bar(x_axis, df_price[first_year: last_year] * 100, width=bar_width, label='Ценовая доходность')\n",
    "    # бары дивидендной доходности\n",
    "    ax.bar(x_axis, df_div[first_year: last_year] * 100, width=bar_width, label='Дивидндная доходность')\n",
    "    # линия инфляции\n",
    "    ax.plot(x_axis, infl[str(first_year): str(last_year)].values, linestyle='dashed', color='black', label='Инфляция')\n",
    "    # ось Х в положении y=0\n",
    "    ax.axhline(y=0, linewidth=0.7, color='k', label='_nolegend_')\n",
    "\n",
    "    ax.margins(0.02)\n",
    "\n",
    "    # регулирования надписей оси Х\n",
    "    years = mdates.YearLocator()  # ежегодный формат\n",
    "    years_fmt = mdates.DateFormatter('%Y')\n",
    "    # назначение формата надписей\n",
    "    ax.xaxis.set_major_locator(years)\n",
    "    ax.xaxis.set_major_formatter(years_fmt)\n",
    "\n",
    "    # Титул графика и легенда\n",
    "    ax.legend()\n",
    "    ax.set_title(title)\n",
    "    ax.set_ylabel('Доходность, %')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Дивидендная доходность индекса Мосбиржи"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "ls = ['IMOEX.INDX', 'MCFTR.INDX']\n",
    "moex = ok.AssetList(ls, ccy='RUB', first_date='2000-01', last_date='2021-12')\n",
    "moex"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df_price = moex.annual_return_ts.iloc[:, 0]  # ценовая доходность, приведенная к году"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df = moex.assets_ror"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df['div'] = df['MCFTR.INDX'] - df['IMOEX.INDX']  # создаем еще один столбец с месячной дивидендной доходностью\n",
    "df"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df_div = df['div'].resample('A').apply(lambda x: np.prod(x + 1.) - 1)  # годовые значения дивидендной доходности"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "div_results = df_div['2010':'2021'] * 100\n",
    "div_results.mean()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "price_results = df_price['2010':'2021'] * 100\n",
    "price_results.mean()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "outputs": [
    {
     "data": {
      "text/plain": "0.3350498875389524"
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "div_results.mean() / (price_results.mean() + div_results.mean())  # Доля дивидендной доходности в полной доходности"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "infl_RUB = ok.Inflation('RUB.INFL')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "annual_infl = infl_RUB.annual_inflation_ts['2010':'2021'] * 100\n",
    "annual_infl.mean()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1200x600 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dividend_yield('2011', '2021', 'Дивидендная и ценовая доходности Индекса Мосбиржи',df_price, df_div, annual_infl)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Дивидендная доходность S&P 500"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "ls = ['GSPC.INDX', 'SP500TR.INDX']\n",
    "sp = ok.AssetList(ls, ccy='USD', first_date='2011-01', last_date='2021-12')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df_price_sp = sp.annual_return_ts.iloc[:, 0]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df_sp = sp.assets_ror"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df_sp['div'] = df_sp.iloc[:, 1] - df_sp.iloc[:, 0]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df_div_sp = df_sp['div'].resample('A').apply(lambda x: np.prod(x + 1.) - 1)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "div_results_sp = df_div_sp['2011':'2021']*100\n",
    "div_results_sp.mean()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "price_results_sp = df_price_sp['2011':'2021'] * 100\n",
    "price_results_sp.mean()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "infl_USD = ok.Inflation('USD.INFL').annual_inflation_ts['2010':'2021'] * 100\n",
    "infl_USD.mean()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "div_results_sp.mean() / (price_results_sp.mean() + div_results_sp.mean())"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1200x600 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dividend_yield('2011', '2021', 'Дивидендная и ценовая доходности индекса S&P500', df_price_sp, df_div_sp, infl_USD)\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py38",
   "language": "python",
   "name": "py38"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}