Fama_French_Risk_factor_modelling_Bitcoin.ipynb

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        "# Fama French Risk Factor Modelling for Bitcoin\n",
        "\n",
        "## Introduction\n",
        "The Fama-French three-factor model is a widely used asset pricing model that extends the Capital Asset Pricing Model (CAPM) by incorporating two additional risk factors: size and value. This notebook applies the Fama-French risk factor modelling technique to Bitcoin, exploring its suitability for this cryptocurrency.\n",
        "\n",
        "## Objectives\n",
        "1.   Load and prepare Bitcoin price data\n",
        "2.   Calculate the Fama-French risk factors (market, size, and value)\n",
        "3. Estimate the three-factor model for Bitcoin\n",
        "4. Analyze the results and discuss implications\n",
        "\n",
        "### Note\n",
        "This notebook is for educational purposes only and should not be considered as investment advice. Cryptocurrencies, including Bitcoin, are highly volatile and subject to significant risks. <br>\n",
        "Let's get started!"
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      "source": [
        "# Fama French Factor model\n",
        "\n",
        "$$R_{Bitcoin} - R_f = \\alpha + \\beta (R_m - R_f) + \\sigma SMB + h HML$$\n",
        "\n",
        "Where: <br> <br>\n",
        "* $R_{Bitcoin}$ is the return of Bitcoin\n",
        "* $R_f$ is the risk-free rate (e.g. 3-month Treasury bill rate)\n",
        "* $\\alpha$ is the intercept or constant term\n",
        "* $\\beta$ is the market risk premium (MRP)\n",
        "* $R_m$ is the market return (e.g. S&P 500 index)\n",
        "* $\\sigma$ is the size risk premium (SMB)\n",
        "* $h$ is the value risk premium (HML)\n",
        "* SMB is the size factor (e.g. small-cap minus large-cap returns)\n",
        "* HML is the value factor (e.g. high-book-to-market minus low-book-to-market returns)"
      ],
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      "source": [
        "### Importing Libraries"
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      "source": [
        "import yfinance as yf\n",
        "import pandas as pd\n",
        "import datetime as dt\n",
        "import numpy as np\n",
        "import pandas_datareader as pdr\n",
        "import statsmodels.api as sm\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
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              "                 Close\n",
              "Date                  \n",
              "2014-09-15  398.821014\n",
              "2014-09-22  377.181000\n",
              "2014-09-29  320.510010\n",
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              "type": "dataframe",
              "variable_name": "historical_data",
              "summary": "{\n  \"name\": \"historical_data\",\n  \"rows\": 506,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 506,\n        \"samples\": [\n          \"2018-01-08\",\n          \"2019-12-16\",\n          \"2024-02-12\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 18258.64909497219,\n        \"min\": 210.33900451660156,\n        \"max\": 71333.6484375,\n        \"num_unique_values\": 506,\n        \"samples\": [\n          13772.0,\n          7511.5888671875,\n          52122.546875\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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      "source": [
        "# Get Bitcoin price data\n",
        "bitcoin_data = yf.Ticker(\"BTC-USD\")\n",
        "\n",
        "# Get historical price data for bitcoin\n",
        "historical_data = pd.DataFrame(bitcoin_data.history(period=\"max\", interval = \"1wk\")['Close'])\n",
        "historical_data.index = historical_data.index.strftime('%Y-%m-%d')\n",
        "historical_data.head()"
      ]
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        "start = '2014-09-10'\n",
        "start"
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        "id": "-0II464iniw2",
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      "execution_count": 3,
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              "'2014-09-10'"
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          "metadata": {},
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      "source": [
        "#pdr.famafrench.get_available_datasets()"
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        "id": "b1T8VyNboz_X"
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      "execution_count": 4,
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      "source": [
        "factor_data = pdr.famafrench.FamaFrenchReader('F-F_Research_Data_Factors_weekly', start=start).read()[0]\n",
        "momentum_factor = pdr.famafrench.FamaFrenchReader('F-F_Momentum_Factor_daily', freq = 'W', start=start).read()[0]\n",
        "momentum_factor.columns = momentum_factor.columns.str.replace(' ', '')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RCdamnT4l4Ho",
        "outputId": "97da10ce-6bba-4d2d-a3f5-37de4c7b1984"
      },
      "execution_count": 5,
      "outputs": [
        {
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          "name": "stderr",
          "text": [
            "<ipython-input-5-ce3fb75cd78b>:1: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
            "  factor_data = pdr.famafrench.FamaFrenchReader('F-F_Research_Data_Factors_weekly', start=start).read()[0]\n",
            "<ipython-input-5-ce3fb75cd78b>:2: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
            "  momentum_factor = pdr.famafrench.FamaFrenchReader('F-F_Momentum_Factor_daily', freq = 'W', start=start).read()[0]\n"
          ]
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      ]
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      "source": [
        "factor_data[\"mom\"] = momentum_factor[\"Mom\"]\n",
        "factor_data.head(5)"
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              "            Mkt-RF   SMB   HML   RF   mom\n",
              "Date                                     \n",
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              "2014-10-03   -0.79 -0.39 -0.78  0.0  0.46\n",
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              "      <th>2014-09-26</th>\n",
              "      <td>-1.58</td>\n",
              "      <td>-0.73</td>\n",
              "      <td>-0.93</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2014-10-03</th>\n",
              "      <td>-0.79</td>\n",
              "      <td>-0.39</td>\n",
              "      <td>-0.78</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2014-10-10</th>\n",
              "      <td>-3.58</td>\n",
              "      <td>-1.43</td>\n",
              "      <td>0.53</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.38</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c4ab0be1-073d-465f-b5f7-c747f857e48a')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c4ab0be1-073d-465f-b5f7-c747f857e48a button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c4ab0be1-073d-465f-b5f7-c747f857e48a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3d8a88a7-be0d-43ef-bdf1-0107364ed58c')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3d8a88a7-be0d-43ef-bdf1-0107364ed58c button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "factor_data",
              "summary": "{\n  \"name\": \"factor_data\",\n  \"rows\": 498,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2014-09-12 00:00:00\",\n        \"max\": \"2024-03-22 00:00:00\",\n        \"num_unique_values\": 498,\n        \"samples\": [\n          \"2024-01-12 00:00:00\",\n          \"2016-02-05 00:00:00\",\n          \"2019-02-15 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mkt-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.4309000992052607,\n        \"min\": -14.57,\n        \"max\": 12.34,\n        \"num_unique_values\": 361,\n        \"samples\": [\n          -0.85,\n          -0.77,\n          1.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMB\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3817478708994129,\n        \"min\": -5.75,\n        \"max\": 6.13,\n        \"num_unique_values\": 309,\n        \"samples\": [\n          0.9,\n          -0.08,\n          -0.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HML\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0467428135702685,\n        \"min\": -8.51,\n        \"max\": 10.85,\n        \"num_unique_values\": 340,\n        \"samples\": [\n          0.52,\n          -0.46,\n          -1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.034394989939838985,\n        \"min\": 0.0,\n        \"max\": 0.118,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          0.034,\n          0.086,\n          0.107\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mom\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9763027413764462,\n        \"min\": -5.41,\n        \"max\": 2.85,\n        \"num_unique_values\": 260,\n        \"samples\": [\n          0.38,\n          1.13,\n          2.48\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "factor_data.reset_index(inplace=True)\n",
        "factor_data = factor_data.drop(\"Date\",axis = 1)\n",
        "historical_data.reset_index(inplace=True)\n",
        "\n",
        "factor_data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "f2zdleJPpdEK",
        "outputId": "28e926e1-ee8c-4894-bc2f-74d170b60dbe"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Mkt-RF   SMB   HML   RF   mom\n",
              "0   -0.86  0.59 -0.53  0.0 -0.42\n",
              "1    0.90 -2.32  0.36  0.0  0.01\n",
              "2   -1.58 -0.73 -0.93  0.0  0.59\n",
              "3   -0.79 -0.39 -0.78  0.0  0.46\n",
              "4   -3.58 -1.43  0.53  0.0 -0.38"
            ],
            "text/html": [
              "\n",
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              "      <th>SMB</th>\n",
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              "      <th>mom</th>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.90</td>\n",
              "      <td>-2.32</td>\n",
              "      <td>0.36</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <td>-0.39</td>\n",
              "      <td>-0.78</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>-1.43</td>\n",
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              "\n",
              "  <style>\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        const element = document.querySelector('#df-f6bc7257-7148-4ea9-a9fc-745e57fc568c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9174323a-39aa-44ec-ab62-9c44c7b1c7cb button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "factor_data",
              "summary": "{\n  \"name\": \"factor_data\",\n  \"rows\": 498,\n  \"fields\": [\n    {\n      \"column\": \"Mkt-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.4309000992052607,\n        \"min\": -14.57,\n        \"max\": 12.34,\n        \"num_unique_values\": 361,\n        \"samples\": [\n          -0.85,\n          -0.77,\n          1.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMB\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3817478708994129,\n        \"min\": -5.75,\n        \"max\": 6.13,\n        \"num_unique_values\": 309,\n        \"samples\": [\n          0.9,\n          -0.08,\n          -0.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HML\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0467428135702685,\n        \"min\": -8.51,\n        \"max\": 10.85,\n        \"num_unique_values\": 340,\n        \"samples\": [\n          0.52,\n          -0.46,\n          -1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.034394989939838985,\n        \"min\": 0.0,\n        \"max\": 0.118,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          0.034,\n          0.086,\n          0.107\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mom\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9763027413764462,\n        \"min\": -5.41,\n        \"max\": 2.85,\n        \"num_unique_values\": 260,\n        \"samples\": [\n          0.38,\n          1.13,\n          2.48\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.concat([factor_data, historical_data], axis=1)\n",
        "data[\"returns\"] = data[\"Close\"].pct_change()\n",
        "data = data.dropna()\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "YTmVdoHp3vNu",
        "outputId": "5afaf39e-85b3-40df-83e3-fdcfd6518146"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Mkt-RF   SMB   HML   RF   mom        Date       Close   returns\n",
              "1    0.90 -2.32  0.36  0.0  0.01  2014-09-22  377.181000 -0.054260\n",
              "2   -1.58 -0.73 -0.93  0.0  0.59  2014-09-29  320.510010 -0.150249\n",
              "3   -0.79 -0.39 -0.78  0.0  0.46  2014-10-06  378.549011  0.181083\n",
              "4   -3.58 -1.43  0.53  0.0 -0.38  2014-10-13  389.545990  0.029050\n",
              "5   -0.51  3.60 -0.84  0.0  1.06  2014-10-20  354.704010 -0.089443"
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Mkt-RF</th>\n",
              "      <th>SMB</th>\n",
              "      <th>HML</th>\n",
              "      <th>RF</th>\n",
              "      <th>mom</th>\n",
              "      <th>Date</th>\n",
              "      <th>Close</th>\n",
              "      <th>returns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.90</td>\n",
              "      <td>-2.32</td>\n",
              "      <td>0.36</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.01</td>\n",
              "      <td>2014-09-22</td>\n",
              "      <td>377.181000</td>\n",
              "      <td>-0.054260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-1.58</td>\n",
              "      <td>-0.73</td>\n",
              "      <td>-0.93</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>320.510010</td>\n",
              "      <td>-0.150249</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.79</td>\n",
              "      <td>-0.39</td>\n",
              "      <td>-0.78</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.46</td>\n",
              "      <td>2014-10-06</td>\n",
              "      <td>378.549011</td>\n",
              "      <td>0.181083</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-3.58</td>\n",
              "      <td>-1.43</td>\n",
              "      <td>0.53</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.38</td>\n",
              "      <td>2014-10-13</td>\n",
              "      <td>389.545990</td>\n",
              "      <td>0.029050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>-0.51</td>\n",
              "      <td>3.60</td>\n",
              "      <td>-0.84</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.06</td>\n",
              "      <td>2014-10-20</td>\n",
              "      <td>354.704010</td>\n",
              "      <td>-0.089443</td>\n",
              "    </tr>\n",
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              "\n",
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              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-f99e1bdd-e2cc-48d6-9189-62918c0dedfd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-f99e1bdd-e2cc-48d6-9189-62918c0dedfd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fa900a9f-fddd-468f-a7d4-70488f7a759d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.dates as mdates\n",
        "\n",
        "sns.set()\n",
        "plt.figure(figsize=(15, 4))\n",
        "\n",
        "# Weekly data\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y='Mkt-RF', label='Weekly', linestyle='-', alpha=0.3, color='#007bff')  # Blue\n",
        "\n",
        "# 10 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['Mkt-RF'].rolling(10).mean(), label='10 Week MA', linestyle='--', alpha=0.7, color='#ff7f0e')  # Orange\n",
        "\n",
        "# 20 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['Mkt-RF'].rolling(20).mean(), label='20 Week MA', linestyle='-.', alpha=0.7, color='green')  # green\n",
        "\n",
        "# 52 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['Mkt-RF'].rolling(52).mean(), label='52 Week MA', linestyle=':', alpha=0.9, color='black')  # black\n",
        "\n",
        "plt.title('Mkt-RF Factor')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Value')\n",
        "\n",
        "# Plot x axis as 1 month ticks\n",
        "xaxis_months = mdates.MonthLocator(interval=1)\n",
        "plt.gca().xaxis.set_major_locator(xaxis_months)\n",
        "\n",
        "# Rotate x-axis labels 45 degrees\n",
        "plt.gca().xaxis.set_tick_params(rotation=45)\n",
        "\n",
        "# Add legend\n",
        "plt.legend(loc='upper left')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "3PJAZJKA9aWY",
        "outputId": "68a53dd9-0c00-4f0e-b22d-7ff71fb872e6"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.dates as mdates\n",
        "\n",
        "sns.set()\n",
        "plt.figure(figsize=(15, 4))\n",
        "\n",
        "# Weekly data\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y='mom', label='Weekly', linestyle='-', alpha=0.3, color='#007bff')  # Blue\n",
        "\n",
        "# 10 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['mom'].rolling(10).mean(), label='10 Week MA', linestyle='--', alpha=0.7, color='#ff7f0e')  # Orange\n",
        "\n",
        "# 20 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['mom'].rolling(20).mean(), label='20 Week MA', linestyle='-.', alpha=0.7, color='green')  # green\n",
        "\n",
        "# 52 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['mom'].rolling(52).mean(), label='52 Week MA', linestyle=':', alpha=0.9, color='black')  # black\n",
        "\n",
        "plt.title('Momentum')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Value')\n",
        "\n",
        "# Plot x axis as 1 month ticks\n",
        "xaxis_months = mdates.MonthLocator(interval=1)\n",
        "plt.gca().xaxis.set_major_locator(xaxis_months)\n",
        "\n",
        "# Rotate x-axis labels 45 degrees\n",
        "plt.gca().xaxis.set_tick_params(rotation=45)\n",
        "\n",
        "# Add legend\n",
        "plt.legend(loc='upper left')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "LmQSJwyiAaND",
        "outputId": "8bc1721b-36dc-4ba2-f57a-71845686f164"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.dates as mdates\n",
        "\n",
        "sns.set()\n",
        "plt.figure(figsize=(15, 4))\n",
        "\n",
        "# Weekly data\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y='SMB', label='Weekly', linestyle='-', alpha=0.3, color='#007bff')  # Blue\n",
        "\n",
        "# 10 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['SMB'].rolling(10).mean(), label='10 Week MA', linestyle='--', alpha=0.7, color='#ff7f0e')  # Orange\n",
        "\n",
        "# 20 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['SMB'].rolling(20).mean(), label='20 Week MA', linestyle='-.', alpha=0.7, color='green')  # green\n",
        "\n",
        "# 52 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['SMB'].rolling(52).mean(), label='52 Week MA', linestyle=':', alpha=0.9, color='black')  # black\n",
        "\n",
        "plt.title('Size Factor')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Value')\n",
        "\n",
        "# Plot x axis as 1 month ticks\n",
        "xaxis_months = mdates.MonthLocator(interval=1)\n",
        "plt.gca().xaxis.set_major_locator(xaxis_months)\n",
        "\n",
        "# Rotate x-axis labels 45 degrees\n",
        "plt.gca().xaxis.set_tick_params(rotation=45)\n",
        "\n",
        "# Add legend\n",
        "plt.legend(loc='upper left')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "cUk62Ql2A-mh",
        "outputId": "dab8fd60-bc9a-4af2-e162-ffec5873c0fb"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.dates as mdates\n",
        "\n",
        "sns.set()\n",
        "plt.figure(figsize=(15, 4))\n",
        "\n",
        "# Weekly data\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y='HML', label='Weekly', linestyle='-', alpha=0.3, color='#007bff')  # Blue\n",
        "\n",
        "# 10 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['HML'].rolling(10).mean(), label='10 Week MA', linestyle='--', alpha=0.7, color='#ff7f0e')  # Orange\n",
        "\n",
        "# 20 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['HML'].rolling(20).mean(), label='20 Week MA', linestyle='-.', alpha=0.7, color='green')  # green\n",
        "\n",
        "# 52 week moving average\n",
        "sns.lineplot(data=data, x=data[\"Date\"], y=data['HML'].rolling(52).mean(), label='52 Week MA', linestyle=':', alpha=0.9, color='black')  # black\n",
        "\n",
        "plt.title('Value Factor')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Value')\n",
        "\n",
        "# Plot x axis as 1 month ticks\n",
        "xaxis_months = mdates.MonthLocator(interval=1)\n",
        "plt.gca().xaxis.set_major_locator(xaxis_months)\n",
        "\n",
        "# Rotate x-axis labels 45 degrees\n",
        "plt.gca().xaxis.set_tick_params(rotation=45)\n",
        "\n",
        "# Add legend\n",
        "plt.legend(loc='upper left')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "aOnd4dIqBQ5h",
        "outputId": "eca2d595-1ab9-4611-8eca-0f0b402dfdb8"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Risk modelling on weekly data"
      ],
      "metadata": {
        "id": "9okaikKDC_OZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data[\"bitcoin-RF\"] = data[\"returns\"] - data[\"RF\"]"
      ],
      "metadata": {
        "id": "ha9AQJwJB5AA"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = data[[\"Mkt-RF\",\"mom\", 'SMB', 'HML']]\n",
        "y = data[\"bitcoin-RF\"]"
      ],
      "metadata": {
        "id": "A9I-nGhC5gaK"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "X = sm.add_constant(X)  # Add a constant (intercept) to the independent variables\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "17xsHdMw8lEg",
        "outputId": "b772090f-a821-48d7-ac20-487e666fc845"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:             bitcoin-RF   R-squared:                       0.005\n",
            "Model:                            OLS   Adj. R-squared:                 -0.003\n",
            "Method:                 Least Squares   F-statistic:                    0.5735\n",
            "Date:                Fri, 24 May 2024   Prob (F-statistic):              0.682\n",
            "Time:                        01:04:43   Log-Likelihood:                 416.67\n",
            "No. Observations:                 497   AIC:                            -823.3\n",
            "Df Residuals:                     492   BIC:                            -802.3\n",
            "Df Model:                           4                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const         -0.0133      0.005     -2.800      0.005      -0.023      -0.004\n",
            "Mkt-RF         0.0019      0.002      0.956      0.340      -0.002       0.006\n",
            "mom           -0.0027      0.005     -0.555      0.579      -0.012       0.007\n",
            "SMB            0.0021      0.004      0.603      0.547      -0.005       0.009\n",
            "HML            0.0012      0.002      0.529      0.597      -0.003       0.006\n",
            "==============================================================================\n",
            "Omnibus:                       11.726   Durbin-Watson:                   1.687\n",
            "Prob(Omnibus):                  0.003   Jarque-Bera (JB):               16.691\n",
            "Skew:                           0.200   Prob(JB):                     0.000237\n",
            "Kurtosis:                       3.803   Cond. No.                         2.56\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Risk modelling on 10 week averages"
      ],
      "metadata": {
        "id": "YI3m4cDkDG1I"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_10wkMA = data.drop(\"Date\",axis = 1).rolling(10).mean().dropna()\n",
        "data_10wkMA.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "pm_4EPMK83pH",
        "outputId": "4e6eef03-564b-4f03-c69a-ae9ca8da7e27"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Mkt-RF    SMB    HML   RF    mom       Close   returns  bitcoin-RF\n",
              "10   0.365 -0.198 -0.328  0.0  0.078  364.314801 -0.000646   -0.000646\n",
              "11   0.301  0.049 -0.578  0.0  0.191  364.106201  0.003999    0.003999\n",
              "12   0.488  0.131 -0.348  0.0  0.173  367.218399  0.012768    0.012768\n",
              "13   0.223  0.261 -0.345  0.0  0.131  361.447797 -0.014096   -0.014096\n",
              "14   0.928  0.415 -0.334  0.0  0.073  354.217099 -0.018124   -0.018124"
            ],
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              "      <th>Mkt-RF</th>\n",
              "      <th>SMB</th>\n",
              "      <th>HML</th>\n",
              "      <th>RF</th>\n",
              "      <th>mom</th>\n",
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              "      <th>bitcoin-RF</th>\n",
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              "      <th>10</th>\n",
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              "      <td>-0.328</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data_10wkMA",
              "summary": "{\n  \"name\": \"data_10wkMA\",\n  \"rows\": 488,\n  \"fields\": [\n    {\n      \"column\": \"Mkt-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6599081997949128,\n        \"min\": -3.307,\n        \"max\": 3.1180000000000003,\n        \"num_unique_values\": 472,\n        \"samples\": [\n          0.299,\n          1.317,\n          -0.06700000000000002\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMB\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4312737718392655,\n        \"min\": -1.198,\n        \"max\": 1.558,\n        \"num_unique_values\": 461,\n        \"samples\": [\n          -0.403,\n          0.14200000000000004,\n          -0.438\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HML\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6641016297112322,\n        \"min\": -2.3619999999999997,\n        \"max\": 2.117,\n        \"num_unique_values\": 483,\n        \"samples\": [\n          0.41900000000000037,\n          0.17800000000000038,\n          -0.05699999999999998\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03358228696017206,\n        \"min\": 0.0,\n        \"max\": 0.11220000000000001,\n        \"num_unique_values\": 290,\n        \"samples\": [\n          0.0215,\n          0.091,\n          0.0078\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mom\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.28220782410032197,\n        \"min\": -1.161,\n        \"max\": 0.8370000000000001,\n        \"num_unique_values\": 458,\n        \"samples\": [\n          0.44400000000000006,\n          0.43999999999999995,\n          0.16900000000000004\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16472.09876239322,\n        \"min\": 232.3206008911133,\n        \"max\": 58281.493359375,\n        \"num_unique_values\": 488,\n        \"samples\": [\n          421.1691009521484,\n          9992.710546875,\n          25715.72421875\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"returns\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03644575186207464,\n        \"min\": -0.06678784082480518,\n        \"max\": 0.16495335519530982,\n        \"num_unique_values\": 488,\n        \"samples\": [\n          0.01351869107968966,\n          0.029802957219672854,\n          0.031981293352738326\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bitcoin-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04969068121387851,\n        \"min\": -0.12714557055671696,\n        \"max\": 0.14375335519530982,\n        \"num_unique_values\": 488,\n        \"samples\": [\n          0.009118691079689658,\n          -0.018197042780327133,\n          -0.05661870664726165\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_10wkMA[\"bitcoin-RF\"] = data_10wkMA[\"returns\"] - data_10wkMA[\"RF\"]"
      ],
      "metadata": {
        "id": "9-xMK7FDFMK4"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = data_10wkMA[[\"Mkt-RF\",\"mom\", 'SMB', 'HML']]\n",
        "y = data_10wkMA[\"bitcoin-RF\"]"
      ],
      "metadata": {
        "id": "-P9SHgXIDsuW"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "X = sm.add_constant(X)  # Add a constant (intercept) to the independent variables\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xf5ohl7iFJAa",
        "outputId": "59176ca3-316c-47e9-a5fa-0d3d8ec75ebd"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:             bitcoin-RF   R-squared:                       0.131\n",
            "Model:                            OLS   Adj. R-squared:                  0.123\n",
            "Method:                 Least Squares   F-statistic:                     18.14\n",
            "Date:                Fri, 24 May 2024   Prob (F-statistic):           6.83e-14\n",
            "Time:                        01:04:43   Log-Likelihood:                 807.15\n",
            "No. Observations:                 488   AIC:                            -1604.\n",
            "Df Residuals:                     483   BIC:                            -1583.\n",
            "Df Model:                           4                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const         -0.0145      0.002     -6.323      0.000      -0.019      -0.010\n",
            "Mkt-RF         0.0145      0.004      3.827      0.000       0.007       0.022\n",
            "mom            0.0180      0.008      2.302      0.022       0.003       0.033\n",
            "SMB            0.0260      0.006      4.579      0.000       0.015       0.037\n",
            "HML            0.0030      0.003      0.917      0.360      -0.003       0.009\n",
            "==============================================================================\n",
            "Omnibus:                        1.650   Durbin-Watson:                   0.118\n",
            "Prob(Omnibus):                  0.438   Jarque-Bera (JB):                1.664\n",
            "Skew:                          -0.089   Prob(JB):                        0.435\n",
            "Kurtosis:                       2.777   Cond. No.                         3.91\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Risk modelling on 20 week averages"
      ],
      "metadata": {
        "id": "XaGos30vFYHh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_20wkMA = data.drop(\"Date\",axis = 1).rolling(20).mean().dropna()\n",
        "data_20wkMA.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "s4_ouJ_WFSlg",
        "outputId": "6d2573a2-4ca4-4a89-844f-05e1a73398c9"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Mkt-RF     SMB     HML   RF     mom       Close   returns  bitcoin-RF\n",
              "20  0.0455  0.0010 -0.3385  0.0 -0.0680  322.612651 -0.023019   -0.023019\n",
              "21  0.1665  0.1275 -0.2805  0.0 -0.1075  315.494851 -0.017752   -0.017752\n",
              "22  0.3505  0.1420 -0.2995  0.0 -0.2035  311.268201 -0.009994   -0.009994\n",
              "23  0.4300  0.1685 -0.3360  0.0 -0.1985  305.350850 -0.013916   -0.013916\n",
              "24  0.5995  0.2745 -0.3850  0.0 -0.1885  299.591251 -0.012649   -0.012649"
            ],
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              "      <th>Mkt-RF</th>\n",
              "      <th>SMB</th>\n",
              "      <th>HML</th>\n",
              "      <th>RF</th>\n",
              "      <th>mom</th>\n",
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              "      <th>returns</th>\n",
              "      <th>bitcoin-RF</th>\n",
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              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>0.0455</td>\n",
              "      <td>0.0010</td>\n",
              "      <td>-0.3385</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.0680</td>\n",
              "      <td>322.612651</td>\n",
              "      <td>-0.023019</td>\n",
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              "    <tr>\n",
              "      <th>21</th>\n",
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              "    <tr>\n",
              "      <th>22</th>\n",
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              "      <td>0.0</td>\n",
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              "      <td>-0.009994</td>\n",
              "      <td>-0.009994</td>\n",
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              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>0.4300</td>\n",
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              "      <td>-0.3360</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.1985</td>\n",
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              "      <td>-0.013916</td>\n",
              "      <td>-0.013916</td>\n",
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              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>0.5995</td>\n",
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              "      <td>-0.3850</td>\n",
              "      <td>0.0</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data_20wkMA",
              "summary": "{\n  \"name\": \"data_20wkMA\",\n  \"rows\": 478,\n  \"fields\": [\n    {\n      \"column\": \"Mkt-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4158587990783132,\n        \"min\": -1.324,\n        \"max\": 2.117,\n        \"num_unique_values\": 468,\n        \"samples\": [\n          -0.10899999999999999,\n          0.0030000000000000027,\n          -0.29850000000000004\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMB\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3057704889758034,\n        \"min\": -0.6419999999999999,\n        \"max\": 1.3475,\n        \"num_unique_values\": 466,\n        \"samples\": [\n          -0.2625,\n          -0.20750000000000002,\n          0.08750000000000001\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HML\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.498082253676281,\n        \"min\": -1.829,\n        \"max\": 1.3645,\n        \"num_unique_values\": 470,\n        \"samples\": [\n          -0.15299999999999997,\n          -0.016000000000000007,\n          -0.193\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03247331861211722,\n        \"min\": 0.0,\n        \"max\": 0.11180000000000001,\n        \"num_unique_values\": 344,\n        \"samples\": [\n          0.0375,\n          0.0481,\n          0.0023\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mom\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.19683729805492628,\n        \"min\": -0.644,\n        \"max\": 0.45299999999999996,\n        \"num_unique_values\": 460,\n        \"samples\": [\n          -0.101,\n          0.2545,\n          -0.040500000000000015\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15896.97962992476,\n        \"min\": 241.83059997558593,\n        \"max\": 53115.6779296875,\n        \"num_unique_values\": 478,\n        \"samples\": [\n          37157.28125,\n          250.19295196533204,\n          2198.391485595703\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"returns\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.028089685937751976,\n        \"min\": -0.04094820344214979,\n        \"max\": 0.11216012305194774,\n        \"num_unique_values\": 478,\n        \"samples\": [\n          0.025193997335907214,\n          0.0004026618140111959,\n          0.0834972683006583\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bitcoin-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04370759551391678,\n        \"min\": -0.10790596363665368,\n        \"max\": 0.0907591048838374,\n        \"num_unique_values\": 478,\n        \"samples\": [\n          -0.08660600266409277,\n          0.00020266181401119577,\n          0.06829726830065828\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_20wkMA[\"bitcoin-RF\"] = data_20wkMA[\"returns\"] - data_20wkMA[\"RF\"]"
      ],
      "metadata": {
        "id": "nByidum_FeJU"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = data_20wkMA[[\"Mkt-RF\",\"mom\", 'SMB', 'HML']]\n",
        "y = data_20wkMA[\"bitcoin-RF\"]"
      ],
      "metadata": {
        "id": "Ylve2PPWFl_f"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "X = sm.add_constant(X)  # Add a constant (intercept) to the independent variables\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FtZx3bO9FtRP",
        "outputId": "6d0daa0e-715e-42c5-8168-3a6c89a1f509"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:             bitcoin-RF   R-squared:                       0.184\n",
            "Model:                            OLS   Adj. R-squared:                  0.177\n",
            "Method:                 Least Squares   F-statistic:                     26.61\n",
            "Date:                Fri, 24 May 2024   Prob (F-statistic):           6.36e-20\n",
            "Time:                        01:04:43   Log-Likelihood:                 867.00\n",
            "No. Observations:                 478   AIC:                            -1724.\n",
            "Df Residuals:                     473   BIC:                            -1703.\n",
            "Df Model:                           4                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const         -0.0154      0.002     -7.055      0.000      -0.020      -0.011\n",
            "Mkt-RF         0.0253      0.005      4.720      0.000       0.015       0.036\n",
            "mom            0.0234      0.010      2.245      0.025       0.003       0.044\n",
            "SMB            0.0352      0.007      4.989      0.000       0.021       0.049\n",
            "HML            0.0073      0.004      1.852      0.065      -0.000       0.015\n",
            "==============================================================================\n",
            "Omnibus:                       19.473   Durbin-Watson:                   0.054\n",
            "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               17.348\n",
            "Skew:                          -0.402   Prob(JB):                     0.000171\n",
            "Kurtosis:                       2.525   Cond. No.                         6.05\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Risk modelling on 52 week averages"
      ],
      "metadata": {
        "id": "V-pD_JIQGayG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_52wkMA = data.drop(\"Date\",axis = 1).rolling(52).mean().dropna()\n",
        "data_52wkMA.head()"
      ],
      "metadata": {
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      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Mkt-RF       SMB       HML        RF       mom       Close   returns  \\\n",
              "52  0.032308  0.016154 -0.255192  0.000154  0.089423  277.792578 -0.006871   \n",
              "53  0.012115  0.084231 -0.296154  0.000154  0.112885  275.015193 -0.005699   \n",
              "54  0.008462  0.046346 -0.209423  0.000154  0.091731  273.433443 -0.002355   \n",
              "55  0.037692  0.022308 -0.182885  0.000154  0.040962  270.904616 -0.005128   \n",
              "56  0.172692  0.080000 -0.154231  0.000154  0.056346  268.444943 -0.004551   \n",
              "\n",
              "    bitcoin-RF  \n",
              "52   -0.007025  \n",
              "53   -0.005853  \n",
              "54   -0.002509  \n",
              "55   -0.005282  \n",
              "56   -0.004705  "
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              "      <th>HML</th>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data_52wkMA",
              "summary": "{\n  \"name\": \"data_52wkMA\",\n  \"rows\": 446,\n  \"fields\": [\n    {\n      \"column\": \"Mkt-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2715642341224135,\n        \"min\": -0.44249999999999995,\n        \"max\": 1.225,\n        \"num_unique_values\": 439,\n        \"samples\": [\n          0.4198076923076923,\n          0.385,\n          -0.21384615384615382\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SMB\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.19403684559910028,\n        \"min\": -0.40711538461538466,\n        \"max\": 0.6917307692307693,\n        \"num_unique_values\": 437,\n        \"samples\": [\n          -0.017692307692307695,\n          0.08634615384615385,\n          0.5201923076923077\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"HML\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3205220703676552,\n        \"min\": -0.8090384615384616,\n        \"max\": 0.720576923076923,\n        \"num_unique_values\": 438,\n        \"samples\": [\n          0.41519230769230764,\n          0.14865384615384614,\n          -0.49961538461538463\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.027602864017007185,\n        \"min\": 0.00015384615384615385,\n        \"max\": 0.10588461538461538,\n        \"num_unique_values\": 401,\n        \"samples\": [\n          0.0013653846153846155,\n          0.0016346153846153847,\n          0.002076923076923077\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mom\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1266959882847222,\n        \"min\": -0.3767307692307692,\n        \"max\": 0.23788461538461536,\n        \"num_unique_values\": 434,\n        \"samples\": [\n          -0.21384615384615385,\n          -0.07076923076923078,\n          -0.03423076923076924\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14776.963859931358,\n        \"min\": 265.00480886606067,\n        \"max\": 48232.29503455529,\n        \"num_unique_values\": 446,\n        \"samples\": [\n          16422.457970252402,\n          41808.674767127406,\n          3579.073475764348\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"returns\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01882246931606112,\n        \"min\": -0.02589093616406598,\n        \"max\": 0.0720225893480584,\n        \"num_unique_values\": 446,\n        \"samples\": [\n          0.038284044900283934,\n          -0.0068511415565536155,\n          0.0720225893480584\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bitcoin-RF\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03620976264976085,\n        \"min\": -0.08959513388527854,\n        \"max\": 0.056387973963443014,\n        \"num_unique_values\": 446,\n        \"samples\": [\n          0.03339942951566855,\n          -0.011062680018092078,\n          0.056387973963443014\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_52wkMA[\"bitcoin-RF\"] = data_52wkMA[\"returns\"] - data_52wkMA[\"RF\"]"
      ],
      "metadata": {
        "id": "8jLeZ5FxGgga"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = data_52wkMA[[\"Mkt-RF\",\"mom\", 'SMB', 'HML']]\n",
        "y = data_52wkMA[\"bitcoin-RF\"]"
      ],
      "metadata": {
        "id": "yUP2u5HEGm0C"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "X = sm.add_constant(X)  # Add a constant (intercept) to the independent variables\n",
        "model = sm.OLS(y, X).fit()\n",
        "print(model.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0qhhbBGjGrIe",
        "outputId": "88731501-ec4c-4e13-a86c-eb7f8d2d5ef2"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:             bitcoin-RF   R-squared:                       0.352\n",
            "Model:                            OLS   Adj. R-squared:                  0.346\n",
            "Method:                 Least Squares   F-statistic:                     59.95\n",
            "Date:                Fri, 24 May 2024   Prob (F-statistic):           2.05e-40\n",
            "Time:                        01:04:43   Log-Likelihood:                 944.51\n",
            "No. Observations:                 446   AIC:                            -1879.\n",
            "Df Residuals:                     441   BIC:                            -1859.\n",
            "Df Model:                           4                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const         -0.0147      0.002     -6.771      0.000      -0.019      -0.010\n",
            "Mkt-RF         0.0357      0.007      4.853      0.000       0.021       0.050\n",
            "mom           -0.0182      0.015     -1.248      0.213      -0.047       0.010\n",
            "SMB            0.0567      0.010      5.675      0.000       0.037       0.076\n",
            "HML            0.0367      0.005      6.710      0.000       0.026       0.047\n",
            "==============================================================================\n",
            "Omnibus:                       10.002   Durbin-Watson:                   0.031\n",
            "Prob(Omnibus):                  0.007   Jarque-Bera (JB):               10.370\n",
            "Skew:                          -0.372   Prob(JB):                      0.00560\n",
            "Kurtosis:                       2.928   Cond. No.                         11.2\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "r4zxVwA-Guik"
      },
      "execution_count": 27,
      "outputs": []
    }
  ]
}