{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 42: Higher L-Moments OWA Portfolio Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-10-19</th>\n",
       "      <td>0.0475%</td>\n",
       "      <td>-0.8599%</td>\n",
       "      <td>-1.4332%</td>\n",
       "      <td>-3.0011%</td>\n",
       "      <td>0.1113%</td>\n",
       "      <td>1.2968%</td>\n",
       "      <td>3.4361%</td>\n",
       "      <td>-0.8763%</td>\n",
       "      <td>0.2945%</td>\n",
       "      <td>-0.7834%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6339%</td>\n",
       "      <td>-0.1823%</td>\n",
       "      <td>0.9186%</td>\n",
       "      <td>-0.7728%</td>\n",
       "      <td>1.1385%</td>\n",
       "      <td>-1.6075%</td>\n",
       "      <td>-1.1145%</td>\n",
       "      <td>-1.2872%</td>\n",
       "      <td>0.4575%</td>\n",
       "      <td>-0.8025%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-22</th>\n",
       "      <td>-1.9240%</td>\n",
       "      <td>-0.0786%</td>\n",
       "      <td>-0.6335%</td>\n",
       "      <td>-6.2983%</td>\n",
       "      <td>-0.6392%</td>\n",
       "      <td>-1.1024%</td>\n",
       "      <td>0.0527%</td>\n",
       "      <td>-0.3221%</td>\n",
       "      <td>1.1326%</td>\n",
       "      <td>-0.8199%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.8661%</td>\n",
       "      <td>0.4483%</td>\n",
       "      <td>-1.6953%</td>\n",
       "      <td>-2.8972%</td>\n",
       "      <td>-0.6085%</td>\n",
       "      <td>1.4753%</td>\n",
       "      <td>-0.6075%</td>\n",
       "      <td>-0.8634%</td>\n",
       "      <td>0.1457%</td>\n",
       "      <td>-3.4490%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-23</th>\n",
       "      <td>-3.6571%</td>\n",
       "      <td>-1.6658%</td>\n",
       "      <td>-0.4202%</td>\n",
       "      <td>-0.4521%</td>\n",
       "      <td>-0.2797%</td>\n",
       "      <td>-0.5034%</td>\n",
       "      <td>0.1845%</td>\n",
       "      <td>-3.9948%</td>\n",
       "      <td>-0.7051%</td>\n",
       "      <td>-0.2450%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4766%</td>\n",
       "      <td>-5.1240%</td>\n",
       "      <td>0.5341%</td>\n",
       "      <td>-0.0321%</td>\n",
       "      <td>1.0713%</td>\n",
       "      <td>-0.6728%</td>\n",
       "      <td>-1.0807%</td>\n",
       "      <td>-1.8308%</td>\n",
       "      <td>4.0560%</td>\n",
       "      <td>4.0353%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-24</th>\n",
       "      <td>-4.5500%</td>\n",
       "      <td>1.3141%</td>\n",
       "      <td>-1.8041%</td>\n",
       "      <td>-3.5933%</td>\n",
       "      <td>-4.2917%</td>\n",
       "      <td>0.8674%</td>\n",
       "      <td>0.9995%</td>\n",
       "      <td>-4.1109%</td>\n",
       "      <td>-3.6759%</td>\n",
       "      <td>-3.7139%</td>\n",
       "      <td>...</td>\n",
       "      <td>3.5178%</td>\n",
       "      <td>-4.2683%</td>\n",
       "      <td>1.5636%</td>\n",
       "      <td>-1.3479%</td>\n",
       "      <td>-8.0557%</td>\n",
       "      <td>-0.4838%</td>\n",
       "      <td>-1.2403%</td>\n",
       "      <td>-4.2187%</td>\n",
       "      <td>0.3671%</td>\n",
       "      <td>-3.3065%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-25</th>\n",
       "      <td>0.4741%</td>\n",
       "      <td>2.5716%</td>\n",
       "      <td>0.5186%</td>\n",
       "      <td>0.7782%</td>\n",
       "      <td>5.0410%</td>\n",
       "      <td>-0.5733%</td>\n",
       "      <td>-1.1719%</td>\n",
       "      <td>2.1585%</td>\n",
       "      <td>3.1657%</td>\n",
       "      <td>2.3270%</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.0309%</td>\n",
       "      <td>0.4913%</td>\n",
       "      <td>0.5082%</td>\n",
       "      <td>0.9108%</td>\n",
       "      <td>-1.2516%</td>\n",
       "      <td>1.8962%</td>\n",
       "      <td>4.3661%</td>\n",
       "      <td>1.3799%</td>\n",
       "      <td>-1.7242%</td>\n",
       "      <td>3.3538%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                        \n",
       "2018-10-19  0.0475% -0.8599% -1.4332% -3.0011%  0.1113%  1.2968%  3.4361%   \n",
       "2018-10-22 -1.9240% -0.0786% -0.6335% -6.2983% -0.6392% -1.1024%  0.0527%   \n",
       "2018-10-23 -3.6571% -1.6658% -0.4202% -0.4521% -0.2797% -0.5034%  0.1845%   \n",
       "2018-10-24 -4.5500%  1.3141% -1.8041% -3.5933% -4.2917%  0.8674%  0.9995%   \n",
       "2018-10-25  0.4741%  2.5716%  0.5186%  0.7782%  5.0410% -0.5733% -1.1719%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2018-10-19 -0.8763%  0.2945% -0.7834%  ...  0.6339% -0.1823%  0.9186%   \n",
       "2018-10-22 -0.3221%  1.1326% -0.8199%  ... -0.8661%  0.4483% -1.6953%   \n",
       "2018-10-23 -3.9948% -0.7051% -0.2450%  ...  0.4766% -5.1240%  0.5341%   \n",
       "2018-10-24 -4.1109% -3.6759% -3.7139%  ...  3.5178% -4.2683%  1.5636%   \n",
       "2018-10-25  2.1585%  3.1657%  2.3270%  ... -1.0309%  0.4913%  0.5082%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2018-10-19 -0.7728%  1.1385% -1.6075% -1.1145% -1.2872%  0.4575% -0.8025%  \n",
       "2018-10-22 -2.8972% -0.6085%  1.4753% -0.6075% -0.8634%  0.1457% -3.4490%  \n",
       "2018-10-23 -0.0321%  1.0713% -0.6728% -1.0807% -1.8308%  4.0560%  4.0353%  \n",
       "2018-10-24 -1.3479% -8.0557% -0.4838% -1.2403% -4.2187%  0.3671% -3.3065%  \n",
       "2018-10-25  0.9108% -1.2516%  1.8962%  4.3661%  1.3799% -1.7242%  3.3538%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].iloc[-300:,:].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Higher L-Moments OWA Portfolios\n",
    "\n",
    "The OWA portfolio model proposed by __[Cajas (2021)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3988927)__ . This model gives an alternative formulation to risk measures that can be expressed using the OWA operator. The Higher L-Moments portfolio is a special case of the OWA portfolio where the weights are determined following  __[Cajas (2023)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4393155)__.\n",
    "\n",
    "It is recommended to use MOSEK to optimize OWA portfolios, due to it requires more computing power for the number of constraints and variables the model use.\n",
    "\n",
    "Instructions to install MOSEK are in this __[link](https://docs.mosek.com/9.2/install/installation.html)__, is better to install using Anaconda. Also you will need a license, I recommend you that ask for an academic license __[here](https://www.mosek.com/products/academic-licenses/)__.\n",
    "\n",
    "### 2.1 Calculating the portfolio that minimize a risk measure that includes Higher L-Moments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.8355%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.1954%</td>\n",
       "      <td>4.5640%</td>\n",
       "      <td>9.3265%</td>\n",
       "      <td>2.7875%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.0736%</td>\n",
       "      <td>...</td>\n",
       "      <td>13.2513%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>19.9786%</td>\n",
       "      <td>3.7171%</td>\n",
       "      <td>3.3757%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>15.6151%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 0.0000% 3.8355% 0.0000% 3.1954% 4.5640% 9.3265% 2.7875% 0.0000%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR      PSA     SEE       T  \\\n",
       "weights 0.0000% 7.0736%  ... 13.2513% 0.0000% 19.9786% 3.7171% 3.3757%   \n",
       "\n",
       "            TGT     TMO     TXT       VZ    ZION  \n",
       "weights 0.0000% 0.0000% 0.0000% 15.6151% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio as rp\n",
    "import mosek\n",
    "\n",
    "# Building the portfolio object\n",
    "port = rp.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu,\n",
    "                  method_cov=method_cov,\n",
    "                  d=0.94)\n",
    "\n",
    "# Estimate optimal portfolios:\n",
    "\n",
    "port.solvers = ['MOSEK'] # It is recommended to use mosek when optimizing GMD\n",
    "port.sol_params = {'MOSEK': {'mosek_params': {mosek.iparam.num_threads: 2}}}\n",
    "\n",
    "obj = 'MinRisk' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "owa_w = rp.owa_l_moment_crm(len(Y), k=4)\n",
    "\n",
    "w = port.owa_optimization(obj=obj,\n",
    "                          owa_w=owa_w,\n",
    "                          rf=rf,\n",
    "                          l=l)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = rp.plot_pie(w=w,\n",
    "                 title='Min Higher L-moment OWA Risk Measure',\n",
    "                 others=0.05,\n",
    "                 nrow=25,\n",
    "                 cmap=\"tab20\",\n",
    "                 height=6,\n",
    "                 width=10,\n",
    "                 ax=None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}