How to Calculate a Beta of a Stock

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Stock Beta Calculator

Calculate the beta of a stock relative to a market index using historical price data.

Calculated Beta:

Understanding and Calculating Stock Beta

Beta ($\beta$) is a measure of a stock's volatility, or systematic risk, in relation to the overall market. The market itself is typically represented by a broad stock market index, such as the S&P 500 in the United States. A beta of 1 means the stock's price tends to move with the market. A beta greater than 1 indicates higher volatility than the market, and a beta less than 1 suggests lower volatility. A negative beta means the stock tends to move in the opposite direction of the market.

How Beta is Calculated

The beta of a stock is calculated using regression analysis. Specifically, it's the covariance of the stock's returns with the market's returns, divided by the variance of the market's returns.

The formula is:

$\beta = \frac{\text{Cov}(R_{stock}, R_{market})}{\text{Var}(R_{market})} = \frac{\sum_{i=1}^{n} (R_{stock,i} – \bar{R}_{stock})(R_{market,i} – \bar{R}_{market})}{\sum_{i=1}^{n} (R_{market,i} – \bar{R}_{market})^2}$

Where:

  • $R_{stock,i}$ is the return of the stock in period $i$.
  • $R_{market,i}$ is the return of the market index in period $i$.
  • $\bar{R}_{stock}$ is the average return of the stock.
  • $\bar{R}_{market}$ is the average return of the market index.
  • $n$ is the number of periods.

In this calculator, we simplify the input to use raw price data. We first calculate the periodic returns for both the stock and the market index. For $n$ price points, there are $n-1$ periods of returns.

Using the Calculator

To use this calculator, you need historical price data for the stock and the market index for the same time periods.

  1. Stock Prices: Enter the historical closing prices of the stock, separated by commas. Ensure the order of prices corresponds to chronological order.
  2. Market Index Prices: Enter the historical closing prices of the relevant market index (e.g., S&P 500), separated by commas, in the same chronological order as the stock prices.
  3. Click "Calculate Beta".

Interpreting Beta

  • $\beta = 1$: The stock's price movement is expected to mirror the market's movement.
  • $\beta > 1$: The stock is expected to be more volatile than the market. If the market rises by 10%, the stock might rise by more than 10% (and vice-versa for a decline).
  • $0 < \beta < 1$: The stock is expected to be less volatile than the market. If the market rises by 10%, the stock might rise by less than 10%.
  • $\beta < 0$: The stock's price tends to move in the opposite direction of the market. This is rare for individual stocks but can occur with certain asset classes or hedging strategies.
  • $\beta = 0$: The stock's movement is uncorrelated with the market.

Example Calculation

Let's say we have the following simplified historical data for Stock XYZ and the Market Index (e.g., S&P 500):

  • Stock XYZ Prices: 50, 52, 55, 53, 56
  • Market Index Prices: 1000, 1020, 1050, 1030, 1060

Step 1: Calculate Returns

  • Stock XYZ Returns: (52-50)/50 = 0.04, (55-52)/52 ≈ 0.0577, (53-55)/55 ≈ -0.0364, (56-53)/53 ≈ 0.0566
  • Market Index Returns: (1020-1000)/1000 = 0.02, (1050-1020)/1020 ≈ 0.0294, (1030-1050)/1050 ≈ -0.0190, (1060-1030)/1030 ≈ 0.0291

Step 2: Calculate Covariance and Variance

  • Average Stock Return ($\bar{R}_{stock}$) ≈ (0.04 + 0.0577 – 0.0364 + 0.0566) / 4 ≈ 0.0349
  • Average Market Return ($\bar{R}_{market}$) ≈ (0.02 + 0.0294 – 0.0190 + 0.0291) / 4 ≈ 0.0196

Using these values in the covariance and variance formulas (sum of products of deviations for covariance, sum of squared deviations for variance) would yield the beta. For the provided input example (100,102,105,103,106 and 1500,1510,1525,1518,1535), the calculation would be performed by the script.

Applications of Beta

Beta is a crucial concept in finance, particularly in:

  • Modern Portfolio Theory (MPT): Used to understand diversification benefits and assess risk-return trade-offs.
  • Capital Asset Pricing Model (CAPM): Beta is a key input for calculating the expected return of an asset.
  • Risk Management: Helps investors understand how much risk a specific stock adds to a diversified portfolio.
  • Performance Evaluation: Analysts may compare a fund manager's performance adjusted for risk using beta.

It's important to note that beta is calculated based on historical data and may not be indicative of future performance. The choice of market index and the time period for analysis can also influence the calculated beta.

function calculateBeta() { var stockPricesInput = document.getElementById("stockPrices").value; var marketPricesInput = document.getElementById("marketPrices").value; var stockPrices = stockPricesInput.split(',').map(Number); var marketPrices = marketPricesInput.split(',').map(Number); // Clear previous results document.getElementById("result-value").innerText = "–"; // Input validation if (stockPrices.length < 2 || marketPrices.length < 2) { alert("Please provide at least two price points for both stock and market index."); return; } if (stockPrices.length !== marketPrices.length) { alert("The number of price points for the stock and market index must be the same."); return; } for (var i = 0; i < stockPrices.length; i++) { if (isNaN(stockPrices[i]) || isNaN(marketPrices[i]) || stockPrices[i] <= 0 || marketPrices[i] <= 0) { alert("Please enter valid positive numbers for all prices."); return; } } // Calculate returns var stockReturns = []; var marketReturns = []; for (var i = 0; i < stockPrices.length – 1; i++) { stockReturns.push((stockPrices[i+1] – stockPrices[i]) / stockPrices[i]); marketReturns.push((marketPrices[i+1] – marketPrices[i]) / marketPrices[i]); } // Calculate average returns var sumStockReturns = 0; var sumMarketReturns = 0; for (var i = 0; i < stockReturns.length; i++) { sumStockReturns += stockReturns[i]; sumMarketReturns += marketReturns[i]; } var avgStockReturn = sumStockReturns / stockReturns.length; var avgMarketReturn = sumMarketReturns / marketReturns.length; // Calculate covariance and variance var covariance = 0; var variance = 0; for (var i = 0; i < stockReturns.length; i++) { covariance += (stockReturns[i] – avgStockReturn) * (marketReturns[i] – avgMarketReturn); variance += Math.pow(marketReturns[i] – avgMarketReturn, 2); } // Calculate beta var beta = 0; if (variance !== 0) { beta = covariance / variance; } else { alert("Market variance is zero, cannot calculate beta."); return; } document.getElementById("result-value").innerText = beta.toFixed(4); }

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