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Finance

Beta Stock Calculator

Enter a series of historical stock prices and matching benchmark (market) prices to calculate the beta coefficient using the standard covariance/variance method. You also get the expected return from the Capital Asset Pricing Model (CAPM) using your beta. Paste prices separated by commas or spaces, one price per period (weekly or monthly is most common).

Your details

Choose whether to compute beta from raw price data or type a known beta value.
Paste monthly (or weekly) closing prices for the stock. At least 5 periods recommended, 24+ for reliable results.
Paste matching-period prices for the benchmark index (e.g. S&P 500). Must have the same number of data points as the stock prices.
The yield on a risk-free instrument such as the 10-year US Treasury note. Used in the CAPM formula to compute expected return.
%
The long-run expected annual return of the benchmark market index (historically about 10% for the S&P 500 including dividends).
%
Beta coefficientHigh volatility vs. market
1.9557

How much the stock moves relative to a 1% move in the market

Covariance (stock vs. market)0.001577
Market variance0.000806
Return periods used11
CAPM expected return0.15%
Equity risk premium0.11%
1.9557 beta
Inverse / hedge<-0.01Very low volatility-0.01-0.5Below-market0.5-1Above-market1-1.5High volatility1.5+
00.090.18013
Beta

Beta is 1.9557: High volatility vs. market.

  • A beta of 1.96 means this stock is expected to move 96% more than the market on a given day. In a 10% market rally, this stock would be expected to gain about 19.6%.
  • The CAPM model suggests a required return of 15.26% for this stock, given a risk-free rate of 4.5% and expected market return of 10%.
  • Only 11 return periods were found. For a statistically robust beta, aim for at least 24 monthly (or 60 weekly) observations.

Next stepCompare this beta to published values from financial data providers (Yahoo Finance, Bloomberg). Significant differences may indicate a different lookback period, return interval, or benchmark index.

Formula

β=Cov(rstock,rmarket)Var(rmarket),E(Ri)=Rf+βi(E(Rm)Rf)\beta = \dfrac{\mathrm{Cov}(r_{\text{stock}},\, r_{\text{market}})}{\mathrm{Var}(r_{\text{market}})}, \quad E(R_i) = R_f + \beta_i \bigl(E(R_m) - R_f\bigr)

Worked example

Suppose monthly prices for a stock are 100, 108, 103 and for the S&P 500 are 4000, 4200, 4100. Returns are: stock +8%, -4.63%; market +5%, -2.38%. Covariance = 0.001190, variance of market = 0.001108, so beta = 0.001190 / 0.001108 = 1.07. With a 4.5% risk-free rate and 10% expected market return, CAPM gives: 4.5% + 1.07 * (10% - 4.5%) = 4.5% + 5.89% = 10.39% required return.

What is stock beta?

Beta is a statistical measure that describes how much a stock tends to move relative to a market benchmark such as the S&P 500. A beta of 1.0 means the stock historically tracks the market almost perfectly: when the index rises 10%, the stock also rises about 10%. A beta above 1.0 indicates the stock swings more than the market (more volatile), while a beta below 1.0 means it swings less (more stable). A negative beta means the stock tends to move in the opposite direction from the market, which is relatively rare for ordinary equities but common for inverse ETFs and certain commodity positions. Beta captures only systematic risk (market-wide fluctuations) and cannot measure unsystematic risk (company-specific events like earnings surprises or management changes).

How to calculate beta: the covariance/variance method

The standard formula is beta = Covariance(r_stock, r_market) / Variance(r_market), where r_stock and r_market are the series of period-over-period returns (not raw prices). The first step is converting your price data to returns: r(t) = (Price(t+1) - Price(t)) / Price(t). You then compute the sample covariance of the two return series (how they move together) and divide it by the sample variance of the market returns alone. Monthly prices over five years (giving about 60 return observations) are the most common data source used by analysts and financial data providers; weekly data gives more observations but can introduce noise. This calculator uses the sample (n-1) denominator for both covariance and variance, consistent with the convention used by Excel, Bloomberg, and most academic finance sources.

Beta and the Capital Asset Pricing Model (CAPM)

Beta is the central risk parameter in the Capital Asset Pricing Model. The CAPM expected return formula is: E(R) = Rf + beta x (Rm - Rf), where Rf is the risk-free rate (typically the yield on a short- or long-term government bond) and Rm is the expected market return. The term (Rm - Rf) is called the equity risk premium or market risk premium. Multiplying beta by the equity risk premium gives the additional return this stock demands over the risk-free rate. If a stock has beta 1.3, a risk-free rate of 4.5%, and an expected market return of 10%, then CAPM requires: 4.5% + 1.3 x 5.5% = 4.5% + 7.15% = 11.65%. Investors and analysts use this required return as a hurdle rate: if the stock is not expected to beat 11.65%, it is not adequately compensating for its risk.

Limitations and practical considerations

Beta is a backward-looking estimate: it summarises past price behaviour and assumes that pattern will continue. Beta can shift significantly as a company changes its business mix, takes on more debt, or as market regimes change. Financial leverage amplifies equity beta (the levered beta you observe in price data) above the underlying business risk (the unlevered or asset beta); a separate unlevered beta calculation removes the effect of the capital structure. Beta also depends on the choice of benchmark (S&P 500 vs. a global index, for example), the return interval (monthly vs. weekly), and the lookback window. Published betas from Yahoo Finance, Bloomberg, and other providers often differ because they use different intervals and windows. For any single stock, treat beta as a range estimate rather than a precise number, and compare it with betas from multiple sources.

Beta coefficient interpretation guide

Beta rangeTypical interpretationExample types
Below -0.5Strong inverse movementInverse ETFs, some commodities
-0.5 to 0Mild inverse or uncorrelatedGold, some hedge strategies
0 to 0.5Very low volatilityUtilities, consumer staples
0.5 to 1Below-market volatilityHealthcare, value stocks
1Mirrors the marketIndex ETFs (SPY, VOO)
1 to 1.5Above-market volatilityLarge-cap growth tech
Above 1.5High volatility vs. marketSmall-caps, biotech, leveraged ETFs

Standard interpretation of beta values relative to the overall market benchmark.

Frequently asked questions

What is a good beta for a stock?

There is no universally "good" beta: it depends on your risk tolerance and goals. Conservative investors seeking stability prefer low-beta stocks (below 0.5 to 0.8), such as utilities and consumer staples. Growth investors accept higher betas (1.2 to 2.0) in exchange for greater upside potential. A beta near 1 means the stock roughly tracks the market. Negative-beta assets like some gold positions or inverse ETFs can reduce portfolio volatility but usually reduce expected return as well.

Why does my calculated beta differ from Yahoo Finance?

Yahoo Finance and other providers use their own specific methodology: typically 5 years of monthly data against the S&P 500 (for US stocks), with returns calculated on adjusted closing prices. If you use a different lookback window, return interval (weekly vs. monthly), or benchmark index, your beta will differ. Small sample sizes amplify these differences further. For a like-for-like comparison, try to match the data source, period, and interval the provider uses.

How many data points do I need to calculate a reliable beta?

A minimum of 12 to 24 monthly return periods is generally considered acceptable, but most practitioners and textbooks recommend 60 monthly observations (five years). Weekly data can be used for more data points but tends to introduce more noise from bid-ask spreads and thin trading. Fewer observations make the estimate sensitive to outlier periods, so treat any beta computed from fewer than 24 periods as a rough guide only.

What does a negative beta mean?

A negative beta means the stock historically moved in the opposite direction from the market benchmark. When the market fell, the stock tended to rise, and vice versa. True negative-beta equities are uncommon, but inverse ETFs are designed to have a beta close to -1 or -2 relative to their target index. Gold and some Treasury bond funds sometimes show slightly negative betas. A negative-beta asset can reduce overall portfolio volatility when combined with market-tracking positions.

What is the difference between levered and unlevered beta?

The beta you compute from price data is the levered (or equity) beta. It reflects both the business risk of the company and the additional risk that comes from financial leverage (debt). Unlevered beta strips out the effect of debt, leaving only the underlying business (asset) risk. The conversion formula is: unlevered beta = levered beta / (1 + (1 - tax rate) x (Debt / Equity)). Unlevered beta is useful when comparing companies across different capital structures, or when re-levering to estimate what beta a company would have at a different debt level.

Is a high beta always bad?

Not necessarily. High-beta stocks carry more risk but also more expected return (according to CAPM). During strong bull markets, high-beta stocks tend to outperform the market significantly. The risk is that they also fall more steeply in downturns. Whether a high beta is desirable depends on the investor's time horizon, diversification, and risk tolerance. A well-diversified portfolio can include a mix of beta levels to balance growth potential against volatility.

Sources

Written by Sarah Klein, CFP Certified Financial Planner · Chicago, USA

Fifteen years translating mortgage tables and amortization schedules into decisions that actually help real borrowers.

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