{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "272b1163",
   "metadata": {},
   "source": [
    "# 63% of Stocks Lost to the Average Stock\n",
    "\n",
    "Put a dollar into each of 459 S&P 500 stocks in February 2013 and hold every one of them for five years. The average stock, which is what all 459 dollars together returned, turned \\$1 into \\$2.00. The median stock turned it into \\$1.73, and 288 of the 459, 62.7%, finished below the average.\n",
    "\n",
    "Nothing was wrong with those 288 stocks in particular. Compounding puts most stocks below their own average, by an amount a one-line formula predicts: 60.6% here, against the 62.7% that happened. This notebook measures the gap, shows why it widens the longer a stock is held, splits it stock by stock into volatility drag, and finds where the five years' gains went."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c65b67f",
   "metadata": {},
   "source": [
    "## Five Years of 459 Stocks\n",
    "\n",
    "The returns are daily closing prices of the S&P 500 members from 8 February 2013 to 7 February 2018, from a public-domain Kaggle dataset: 470 stocks have a price on every one of the 1,259 days. The prices are not adjusted for splits and spin-offs, so a stock is dropped if it has a one-day move by a factor of more than 1.75, or a move of more than 20% that reverses by more than 20% the next day, which is a bad print; that removes 11 and leaves 459. These are price returns, without dividends, and the 459 are survivors: every stock here was still trading in February 2018."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "53bd463f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:48.529002Z",
     "iopub.status.busy": "2026-10-06T03:00:48.528905Z",
     "iopub.status.idle": "2026-10-06T03:00:48.714931Z",
     "shell.execute_reply": "2026-10-06T03:00:48.714476Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "459 stocks, 1258 trading days, 11 Feb 2013 to 07 Feb 2018\n",
      "$1 in the average stock:  $2.00\n",
      "$1 in the median stock:   $1.73\n",
      "stocks below the average: 288 of 459 (62.7%)\n"
     ]
    }
   ],
   "source": [
    "#| label: Five Years of 459 Stocks\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "rets = pd.read_csv(\"data/sp500_returns.csv\", index_col=\"date\", parse_dates=True)\n",
    "X = rets.sum()                        # each stock's five-year log return\n",
    "W = np.exp(X)                         # $1 in each stock, bought and held\n",
    "print(f\"{rets.shape[1]} stocks, {rets.shape[0]} trading days, \"\n",
    "      f\"{rets.index[0]:%d %b %Y} to {rets.index[-1]:%d %b %Y}\")\n",
    "print(f\"$1 in the average stock:  ${W.mean():.2f}\")\n",
    "print(f\"$1 in the median stock:   ${W.median():.2f}\")\n",
    "print(f\"stocks below the average: {np.sum(W < W.mean())} of {W.size} \"\n",
    "      f\"({np.mean(W < W.mean()):.1%})\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2f6ed07",
   "metadata": {},
   "source": [
    "## Why the Average Beats the Median\n",
    "\n",
    "Write a stock's final wealth as $W = e^{X}$, where $X$ is its log return over the five years. If $X$ is normal across the stocks, with mean $m$ and spread $s$, the average stock ends with $e^{m + s^2/2}$ and the median stock with $e^{m}$. A stock beats the average only if its log return clears $m + s^2/2$, which is half a standard deviation above the middle:\n",
    "\n",
    "$$\\Pr\\big(W < \\mathbb{E}[W]\\big) = \\Pr\\Big(X < m + \\tfrac{1}{2}s^2\\Big) = \\Phi\\big(\\tfrac{1}{2}s\\big) > \\tfrac{1}{2} \\quad \\text{for every } s > 0.$$\n",
    "\n",
    "Normality is not what makes it true. For any spread of $X$ that is symmetric about its median, Jensen's inequality puts the average of $e^{X}$ above $e$ raised to that median, which is the median stock's wealth, so at least half the stocks sit below the average whenever they differ at all. The normal case only says how far below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3044023d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:48.716183Z",
     "iopub.status.busy": "2026-10-06T03:00:48.716084Z",
     "iopub.status.idle": "2026-10-06T03:00:49.037000Z",
     "shell.execute_reply": "2026-10-06T03:00:49.036687Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spread of the five-year log returns, s: 0.536\n",
      "predicted share below the average, Phi(s/2): 60.6%\n",
      "skew of the log returns: -0.12, excess kurtosis: 2.34\n",
      "skew of the wealth itself: 5.11\n"
     ]
    }
   ],
   "source": [
    "#| label: The Lognormal Prediction\n",
    "from scipy.stats import norm, skew, kurtosis\n",
    "\n",
    "s = X.std(ddof=1)\n",
    "print(f\"spread of the five-year log returns, s: {s:.3f}\")\n",
    "print(f\"predicted share below the average, Phi(s/2): {norm.cdf(s / 2):.1%}\")\n",
    "print(f\"skew of the log returns: {skew(X):.2f}, \"\n",
    "      f\"excess kurtosis: {kurtosis(X):.2f}\")\n",
    "print(f\"skew of the wealth itself: {skew(W):.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d929c9e0",
   "metadata": {},
   "source": [
    "The spread of the five-year log returns is 0.536, so the formula predicts 60.6% below the average; 62.7% were. The log returns are close to symmetric, with a skew of −0.12, but fatter-tailed than a normal curve, with an excess kurtosis of 2.34. The wealth they compound into is not symmetric at all: its skew is 5.11, a long tail of stocks that multiplied several times over."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f599d921",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.038179Z",
     "iopub.status.busy": "2026-10-06T03:00:49.038032Z",
     "iopub.status.idle": "2026-10-06T03:00:49.400638Z",
     "shell.execute_reply": "2026-10-06T03:00:49.400259Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1240x480 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 461,
       "width": 1222
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| fig-cap: Left, what $1 became in each of the 459 stocks after five years, with the average stock (orange) and the median stock (white, dashed); the long right tail lifts the average above most of the stocks. Right, the same five years as log returns, against a normal curve with the same mean and spread.\n",
    "import matplotlib.pyplot as plt\n",
    "TEAL, ORANGE, GREY, ROSE = \"#2a9d8f\", \"#f4a261\", \"#8a94a6\", \"#e76f51\"\n",
    "plt.style.use(\"dark_background\"); plt.rcParams[\"font.size\"] = 12\n",
    "\n",
    "def tidy(ax):\n",
    "    ax.spines[\"top\"].set_visible(False); ax.spines[\"right\"].set_visible(False)\n",
    "\n",
    "fig, (a, b) = plt.subplots(1, 2, figsize=(12.4, 4.8))\n",
    "a.hist(W, bins=np.arange(0, W.max() + 0.25, 0.25), color=TEAL, alpha=0.65)\n",
    "a.axvline(W.mean(), color=ORANGE, lw=2.2,\n",
    "          label=f\"the average stock, ${W.mean():.2f}\")\n",
    "a.axvline(W.median(), color=\"white\", lw=1.6, ls=\"--\",\n",
    "          label=f\"the median stock, ${W.median():.2f}\")\n",
    "a.set_xlabel(\"what $1 became, Feb 2013 to Feb 2018\"); a.set_ylabel(\"stocks\")\n",
    "a.legend(frameon=False, fontsize=10.5); tidy(a)\n",
    "b.hist(X, bins=40, density=True, color=TEAL, alpha=0.65, label=\"459 log returns\")\n",
    "x = np.linspace(X.min() - 0.2, X.max() + 0.2, 500)\n",
    "b.plot(x, norm.pdf(x, X.mean(), s), color=\"white\", lw=2,\n",
    "       label=\"normal, same mean and spread\")\n",
    "b.set_xlabel(\"five-year log return\"); b.set_ylabel(\"density\")\n",
    "b.legend(frameon=False, fontsize=10.5); tidy(b)\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fa25d78",
   "metadata": {},
   "source": [
    "## The Longer You Hold\n",
    "\n",
    "The spread $s$ of the log returns grows with the time a stock is held, roughly as its square root, so $\\Phi(s/2)$ grows too. Year by year the share below the average stays just above half, as low as 50.3% in 2015, 231 of the 459 stocks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "119a83ad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.402105Z",
     "iopub.status.busy": "2026-10-06T03:00:49.401934Z",
     "iopub.status.idle": "2026-10-06T03:00:49.408654Z",
     "shell.execute_reply": "2026-10-06T03:00:49.408174Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year   days   below the average   Phi(s/2)\n",
      "2013    225               55.3%      54.0%\n",
      "2014    252               51.0%      53.7%\n",
      "2015    252               50.3%      55.1%\n",
      "2016    252               52.1%      54.1%\n",
      "2017    251               54.7%      54.5%\n"
     ]
    }
   ],
   "source": [
    "#| label: Year by Year\n",
    "print(\"year   days   below the average   Phi(s/2)\")\n",
    "for year, g in rets.groupby(rets.index.year):\n",
    "    if len(g) < 200:                  # 2018 holds only five weeks\n",
    "        continue\n",
    "    w = np.exp(g.sum())\n",
    "    pred = norm.cdf(np.log(w).std() / 2)\n",
    "    print(f\"{year}   {len(g):4d}   {np.mean(w < w.mean()):17.1%}   {pred:8.1%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8de99826",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.409553Z",
     "iopub.status.busy": "2026-10-06T03:00:49.409461Z",
     "iopub.status.idle": "2026-10-06T03:00:49.423456Z",
     "shell.execute_reply": "2026-10-06T03:00:49.423134Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "held 0.5 years: 53.4% below the average (Phi(s/2): 52.8%)\n",
      "held 1.0 years: 59.0% below the average (Phi(s/2): 54.3%)\n",
      "held 2.0 years: 62.5% below the average (Phi(s/2): 55.8%)\n",
      "held 3.0 years: 57.1% below the average (Phi(s/2): 58.5%)\n",
      "held 4.0 years: 62.7% below the average (Phi(s/2): 58.3%)\n",
      "held 5.0 years: 62.7% below the average (Phi(s/2): 60.6%)\n"
     ]
    }
   ],
   "source": [
    "#| label: The Longer You Hold\n",
    "cum = rets.cumsum()\n",
    "ends = np.append(np.arange(21, len(rets), 21), len(rets))   # a month at a time\n",
    "H = ends / 252                            # years held\n",
    "wealth = [np.exp(cum.iloc[k - 1]) for k in ends]   # a dollar, by horizon\n",
    "share = np.array([np.mean(w < w.mean()) for w in wealth])\n",
    "pred = np.array([norm.cdf(cum.iloc[k - 1].std() / 2) for k in ends])\n",
    "for yrs in (0.5, 1, 2, 3, 4, 5):\n",
    "    i = np.argmin(np.abs(H - yrs))\n",
    "    print(f\"held {H[i]:3.1f} years: {share[i]:.1%} below the average \"\n",
    "          f\"(Phi(s/2): {pred[i]:.1%})\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e935444f",
   "metadata": {},
   "source": [
    "Held from February 2013, the share rises from 53.4% at six months to 59.0% at one year and 62.7% at five, though not smoothly: at three years it was back to 57.1%. The prediction rises more smoothly, from 52.8% to 60.6%. Over one year, \"most\" is barely true; over five, it is almost two in three."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "20cec58c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.424512Z",
     "iopub.status.busy": "2026-10-06T03:00:49.424422Z",
     "iopub.status.idle": "2026-10-06T03:00:49.522606Z",
     "shell.execute_reply": "2026-10-06T03:00:49.522120Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1240x460 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 440,
       "width": 1222
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "#| fig-cap: The share of the 459 stocks below the average stock, for every holding period from one month to five years, all starting in February 2013 (teal), against the lognormal prediction Φ(s/2) with s measured at each horizon (white). The dotted line is one half.\n",
    "fig, ax = plt.subplots(figsize=(12.4, 4.6))\n",
    "ax.plot(H, 100 * share, color=TEAL, lw=2.2, label=\"the 459 stocks\")\n",
    "ax.plot(H, 100 * pred, color=\"white\", lw=1.8, ls=\"--\",\n",
    "        label=\"lognormal prediction, Φ(s/2)\")\n",
    "ax.axhline(50, color=GREY, lw=1, ls=\":\")\n",
    "ax.set_xlabel(\"years held\"); ax.set_ylabel(\"stocks below the average stock (%)\")\n",
    "ax.set_ylim(45, 70); ax.legend(frameon=False, fontsize=10.5); tidy(ax)\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7aa88b65",
   "metadata": {},
   "source": [
    "## Volatility Drag, Stock by Stock\n",
    "\n",
    "The same inequality works inside each stock. A stock's growth rate is its average daily return less about half its daily variance, $g \\approx \\mu - \\tfrac{1}{2}\\sigma^2$, so of two stocks with the same average return, the more volatile one ends with less."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "92889a47",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.523613Z",
     "iopub.status.busy": "2026-10-06T03:00:49.523528Z",
     "iopub.status.idle": "2026-10-06T03:00:49.528985Z",
     "shell.execute_reply": "2026-10-06T03:00:49.528735Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "median yearly arithmetic return: 13.6%\n",
      "median yearly growth rate:       11.0%\n",
      "median yearly drag, mean minus growth: 2.56%\n",
      "half the variance predicts:            2.56%\n",
      "correlation of the two, stock by stock: 0.9992\n"
     ]
    }
   ],
   "source": [
    "#| label: Volatility Drag, Stock by Stock\n",
    "simple = np.expm1(rets)                   # daily simple returns\n",
    "mu, var = simple.mean(), simple.var()\n",
    "g = rets.mean()                           # the growth rate actually achieved\n",
    "drag = 252 * (mu - g)                     # the yearly gap between the two\n",
    "print(f\"median yearly arithmetic return: {252 * mu.median():.1%}\")\n",
    "print(f\"median yearly growth rate:       {252 * g.median():.1%}\")\n",
    "print(f\"median yearly drag, mean minus growth: {drag.median():.2%}\")\n",
    "print(f\"half the variance predicts:            {(252 * var / 2).median():.2%}\")\n",
    "r = np.corrcoef(drag, var)[0, 1]\n",
    "print(f\"correlation of the two, stock by stock: {r:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f994891f",
   "metadata": {},
   "source": [
    "For the median stock, an average return of 13.6% a year compounded at 11.0%. The drag between them, 2.56% a year, matches half the variance to the hundredth of a percent, and across the 459 stocks the two agree with a correlation of 0.9992."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fea55ef3",
   "metadata": {},
   "source": [
    "## Where the Gains Came From\n",
    "\n",
    "A long right tail means a few stocks carried the average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "34d5acf7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.529880Z",
     "iopub.status.busy": "2026-10-06T03:00:49.529800Z",
     "iopub.status.idle": "2026-10-06T03:00:49.532338Z",
     "shell.execute_reply": "2026-10-06T03:00:49.532032Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "$1 in each of 459 stocks gained $460 in all\n",
      "the top 46 stocks made 39% of it\n",
      "the top half made 89%\n",
      "stocks that lost money: 58\n"
     ]
    }
   ],
   "source": [
    "#| label: Where the Gains Came From\n",
    "gain = (W - 1).sort_values(ascending=False)\n",
    "top = int(round(0.1 * gain.size))\n",
    "print(f\"$1 in each of {gain.size} stocks gained ${gain.sum():.0f} in all\")\n",
    "print(f\"the top {top} stocks made {gain.iloc[:top].sum() / gain.sum():.0%} \"\n",
    "      f\"of it\")\n",
    "print(f\"the top half made {gain.iloc[:gain.size // 2].sum() / gain.sum():.0%}\")\n",
    "print(f\"stocks that lost money: {np.sum(W < 1)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfd2ff25",
   "metadata": {},
   "source": [
    "Together the 459 dollars gained \\$460. The best 46 stocks, a tenth of them, made 39% of that gain, and the best half made 89% of it. Fifty-eight stocks lost money outright."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40b8cdf0",
   "metadata": {},
   "source": [
    "## Compounding Alone\n",
    "\n",
    "Keep each stock's own drift and volatility, but let the stocks move independently of each other, and simulate the five years 200 times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "55e8d8b5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-06T03:00:49.533172Z",
     "iopub.status.busy": "2026-10-06T03:00:49.533091Z",
     "iopub.status.idle": "2026-10-06T03:00:49.539598Z",
     "shell.execute_reply": "2026-10-06T03:00:49.539217Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "independent stocks, same drifts and vols: 67.9% below (middle 90%: 64.0% to 72.6%)\n",
      "their spread s: 0.780, against the market's 0.536\n",
      "the real market: 62.7% below\n"
     ]
    }
   ],
   "source": [
    "#| label: Compounding Alone\n",
    "rng = np.random.default_rng(20261005)\n",
    "m, sd, T = rets.mean().to_numpy(), rets.std().to_numpy(), len(rets)\n",
    "X_sim = rng.normal(m * T, sd * np.sqrt(T), size=(200, m.size))   # 200 markets\n",
    "sims = np.array([np.mean(np.exp(x) < np.exp(x).mean()) for x in X_sim])\n",
    "print(f\"independent stocks, same drifts and vols: {sims.mean():.1%} below \"\n",
    "      f\"(middle 90%: {np.quantile(sims, 0.05):.1%} \"\n",
    "      f\"to {np.quantile(sims, 0.95):.1%})\")\n",
    "x_sim = rng.normal(m * T, sd * np.sqrt(T))\n",
    "print(f\"their spread s: {x_sim.std():.3f}, against the market's {s:.3f}\")\n",
    "print(f\"the real market: {np.mean(W < W.mean()):.1%} below\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67efacd0",
   "metadata": {},
   "source": [
    "Independent stocks would leave 67.9% below the average, more than the real 62.7%. The reason is the market itself. It moves every stock together, so it is part of each stock's volatility but spreads no stock away from the others: independent stocks with the same volatilities would spread out to 0.780, against the 0.536 the real 459 reached."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b6076f6",
   "metadata": {},
   "source": [
    "## What It Means\n",
    "\n",
    "The average stock is not a stock. It is a portfolio of all 459, and it collects the mean of their outcomes, while one stock picked at random most likely ends up near the median. The gap between the two is volatility, compounded: small over a year, and almost two stocks in three over five.\n",
    "\n",
    "These 459 are survivors. Stocks that left the index or stopped trading during the five years, often after large losses, are not in the data, so the true share below the average is likely higher. Over the whole US market since 1926, Bessembinder (2018) found that most common stocks did worse over their lifetimes than one-month Treasury bills, and that a small fraction of companies accounts for all of the market's net wealth creation.\n",
    "\n",
    "## Sources\n",
    "\n",
    "1. H. Bessembinder, \"Do stocks outperform Treasury bills?\", *Journal of Financial Economics* 129 (2018) 440–457.\n",
    "2. C. Nugent, \"S&P 500 stock data\", Kaggle dataset camnugent/sandp500 (CC0: Public Domain)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}