
In finance, the capital asset pricing model (CAPM) is a model used to determine a theoretically appropriate required rate of return of an asset, to make decisions about adding assets to a well-diversified portfolio.[1] The model takes into account the asset's sensitivity to non-diversifiable risk (also known as systematic risk or market risk), often represented by the quantity beta (β) in the financial industry, as well as the expected return of the market and the expected return of a theoretical risk-free asset.[2]
CAPM assumes a particular form of utility functions (in which only first and second moments matter, that is risk is measured by variance, for example a quadratic utility) or alternatively asset returns whose probability distributions are completely described by the first two moments (for example, the normal distribution) and zero transaction costs (necessary for diversification to get rid of all idiosyncratic risk).[3][4] Under these conditions, CAPM shows that the cost of equity capital is determined only by beta.[1][2] Despite its failing numerous empirical tests,[5] and the existence of more modern approaches to asset pricing and portfolio selection (such as arbitrage pricing theory and Merton's portfolio problem), the CAPM still remains popular due to its simplicity and utility in a variety of situations.[5]
Inventors
The CAPM was introduced by economists Jack Treynor (1961, 1962),[6] William F. Sharpe (1964),[1] John Lintner (1965)[2] and Jan Mossin (1966)[3] independently, building on the earlier work of Harry Markowitz on diversification and modern portfolio theory.[4] Sharpe, Markowitz and Merton Miller jointly received the 1990 Nobel Memorial Prize in Economic Sciences for this contribution to the field of financial economics.[7] Fischer Black (1972) developed another version of CAPM, called Black CAPM or zero-beta CAPM, that does not assume the existence of a riskless asset.[8] This version was more robust against empirical testing and was influential in the widespread adoption of the CAPM.[8]
Black CAPM
'Fischer Black (1972) developed another version of CAPM, called Black CAPM' or zero-beta CAPM, that does not assume the existence of a riskless asset.[8] This version replaces the risk-free rate with the return of a "zero-beta portfolio"—a portfolio that has no correlation with the market. This version was found to be more robust against empirical testing, particularly in explaining why the security market line is often flatter than the standard model predicts.[8] '
Formula

The CAPM is a model for pricing an individual security or portfolio.[9] For individual securities, it makes use of the security market line (SML) and its relation to expected return and systematic risk (beta) to show how the market must price individual securities in relation to their security risk class.[10]
The SML enables us to calculate the reward-to-risk ratio for any security in relation to that of the overall market.[11] Therefore, when the expected rate of return for any security is deflated by its beta coefficient, the reward-to-risk ratio for any individual security in the market is equal to the market reward-to-risk ratio, thus:[9]
In equilibrium, all assets should plot directly on the SML. An asset located above the line is considered undervalued, as it offers a higher return for its level of systematic risk, while an asset below is overvalued. The slope of the SML represents the market risk premium, illustrating the trade-off between risk and return. By determining the position of a security relative to this line, investors can identify whether the expected return justifies the asset's market-related volatility.[12]
Variable Glossary
Modified betas
There has also been research into a mean-reverting beta often referred to as the adjusted beta,[16] as well as the consumption beta.[17] However, in empirical tests, the traditional CAPM has been found to do as well as or outperform these modified beta models.[18][19] Specifically, research by Mankiw and Shapiro (1986) found that the market beta of the traditional CAPM outperformed the consumption beta in explaining the cross-section of stock returns.[19] Furthermore, while the adjusted beta (Blume's method) improves forecast accuracy, it does not consistently resolve the underlying empirical failures of the model's predictive power over long horizons.[20]
Security market line
The SML graphs the results from the capital asset pricing model (CAPM) formula.[21] The x-axis represents the risk (beta), and the y-axis represents the expected return.[22] The market risk premium is determined from the slope of the SML.[21]
The relationship between and required return is plotted on the security market line (SML), which shows expected return as a function of .[23] The intercept is the nominal risk-free rate available for the market, while the slope is the market premium, .[21] The security market line can be regarded as representing a single-factor model of the asset price, where is the exposure to changes in the value of the Market.[24]
It is a useful tool for determining if an asset being considered for a portfolio offers a reasonable expected return for its risk.[22] Individual securities are plotted on the SML graph.[21] If the security's expected return versus risk is plotted above the SML, it is undervalued since the investor can expect a greater return for the inherent risk.[21] Conversely, a security plotted below the SML is overvalued since the investor would be accepting less return for the amount of risk assumed.[21]
Asset pricing
Once the expected/required rate of return is calculated using CAPM, we can compare this required rate of return to the asset's estimated rate of return over a specific investment horizon to determine whether it would be an appropriate investment. To make this comparison, you need an independent estimate of the return outlook for the security based on either fundamental or technical analysis techniques, including P/E, M/B etc.
Assuming that the CAPM is correct, an asset is correctly priced when its estimated price is the same as the present value of future cash flows of the asset, discounted at the rate suggested by CAPM. If the estimated price is higher than the CAPM valuation, then the asset is overvalued (and undervalued when the estimated price is below the CAPM valuation).[25] When the asset does not lie on the SML, this could also suggest mis-pricing. Since the expected return of the asset at time is , a higher expected return than what CAPM suggests indicates that is too low (the asset is currently undervalued), assuming that at time the asset returns to the CAPM suggested price.[26]
The asset price using CAPM, sometimes called the certainty equivalent pricing formula, is a linear relationship given by
where is the future price of the asset or portfolio.[25]
Asset-specific required return
The CAPM returns the asset-appropriate required return or discount rate—the rate at which future cash flows produced by the asset should be discounted given that asset's relative riskiness.[27] Betas exceeding one signify more than average "riskiness", while betas below one indicate lower than average risk.[28] Thus, a more risky stock will have a higher beta and will be discounted at a higher rate; less sensitive stocks will have lower betas and be discounted at a lower rate.[27] Given the accepted concave utility function, the CAPM is consistent with intuition that investors require a higher return for holding a more risky asset.[29]
Since beta reflects asset-specific sensitivity to non-diversifiable market risk, the market as a whole, by definition, has a beta of one.[27] Stock market indices are frequently used as local proxies for the market—and in that case, by definition, have a beta of one.[18] An investor in a large, diversified portfolio, such as a mutual fund designed to track the total market, therefore expects performance in line with the market.[28]
Fundamental Valuation (Present Value)

Once the required expected return is established via CAPM, it is used as the discount rate to determine an asset's intrinsic value based on future cash flows (CF).[31]
The intrinsic value is calculated using the following present value formula:
An asset is considered undervalued if its calculated is higher than the current market price, and overvalued if the price exceeds this intrinsic value.[32]
Risk and diversification
The risk of a portfolio comprises systematic risk, also known as undiversifiable risk, and unsystematic risk, which is also known as idiosyncratic risk or diversifiable risk.[35] Systematic risk refers to the risk common to all securities—i.e., market risk.[27] Unsystematic risk is the risk associated with individual assets.[35]
Unsystematic risk can be diversified away to smaller levels by including a greater number of assets in the portfolio as specific risks "average out".[36] The same is not possible for systematic risk within one market.[27] Depending on the market, a portfolio of approximately 30–40 securities in developed markets such as the UK or US will render the portfolio sufficiently diversified such that risk exposure is limited to systematic risk only.[36] This number may vary depending on the way securities are weighted in a portfolio which alters the overall risk contribution of each security.[35] For example, market cap weighting means that securities of companies with larger market capitalization will take up a larger portion of the portfolio, making it effectively less diversified.[18] In developing markets, a larger number of securities is required for diversification due to higher asset volatilities.[36]
A rational investor should not take on any diversifiable risk, as only non-diversifiable risks are rewarded within the scope of this model.[27] Therefore, the required return on an asset must be linked to its contribution to overall portfolio riskiness as opposed to its "stand alone risk".[28] In the CAPM context, portfolio risk is represented by higher variance—i.e., less predictability.[35] In other words, the beta of the portfolio is the defining factor in rewarding the systematic exposure taken by an investor.[27]
Efficient frontier
The CAPM assumes that the risk-return profile of a portfolio can be optimized—an optimal portfolio displays the lowest possible level of risk for its level of return.[35]
Additionally, since each additional asset introduced into a portfolio further diversifies the portfolio, the optimal portfolio must comprise every asset with each asset value-weighted to achieve efficiency.[27] This assumes no trading costs and that any asset is infinitely divisible.[28] All such optimal portfolios, i.e., one for each level of return, comprise the efficient frontier.[35] Because the unsystematic risk is diversifiable, the total risk of a portfolio can be viewed as beta.[27]
Assumptions
All investors:[37]
- Aim to maximize economic utilities (Asset quantities are given and fixed).
- Are rational and risk-averse.
- Are broadly diversified across a range of investments.
- Are price takers, i.e., they cannot influence prices.
- Can lend and borrow unlimited amounts under the risk free rate of interest.
- Trade without transaction or taxation costs.
- Deal with securities that are all highly divisible into small parcels (All assets are perfectly divisible and liquid).
- Have homogeneous expectations.
- Have all information available all at the same time.
Criticisms and Empirical Evidence
In their 2004 review, economists Eugene Fama and Kenneth French argue that "the failure of the CAPM in empirical tests implies that most applications of the model are invalid".[38]
Despite its theoretical importance, the CAPM is often criticized for failing to match real-world market dynamics. The following table provides a comprehensive consolidation of empirical failures, theoretical inconsistencies, and behavioral critiques.
Extensions of the CAPM
To address the empirical and theoretical limitations of the standard CAPM, several extensions have been developed that relax the model's core assumptions.
Investors with longer-term outlooks might optimally choose long-term inflation-linked bonds instead of short-term rates, suggesting that the relevant risk-free rate depends on the investor's horizon.[53]
See also
- Arbitrage pricing theory
- Build-up method
- Carhart four-factor model
- Chance-constrained portfolio selection
- Consumption beta (CCAPM)
- Fama–French three-factor model
- Intertemporal CAPM (ICAPM)
- Low-volatility anomaly
- Modern portfolio theory
- Roy's safety-first criterion
References
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- ^ a b c Lintner, John (1965). "The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets". Review of Economics and Statistics. 47 (1): 13–37. doi:10.2307/1924119.
- ^ a b Mossin, Jan (1966). "Equilibrium in a Capital Asset Market". Econometrica. 34 (4): 768–783. doi:10.2307/1910098.
- ^ a b Markowitz, Harry (1952). "Portfolio Selection". The Journal of Finance. 7 (1): 77–91. doi:10.1111/j.1540-6261.1952.tb01525.x.
- ^ a b Fama, Eugene F.; French, Kenneth R. (2004). "The Capital Asset Pricing Model: Theory and Evidence". Journal of Economic Perspectives. 18 (3): 25–46. doi:10.1257/0895330042162430.
- ^ Treynor, Jack L. (1961). Market Value, Time, and Risk (Unpublished manuscript).
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- ^ a b c d Black, Fischer (1972). "Capital Market Equilibrium with Restricted Borrowing". Journal of Business. 45 (3): 444–454. doi:10.1086/295472.
- ^ a b c d e f g Sharpe, William F. (1964). "Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk". Journal of Finance. 19 (3): 425–442.
- ^ a b c Lintner, John (1965). "The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets". Review of Economics and Statistics. 47 (1): 13–37.
- ^ a b c d Mossin, Jan (1966). "Equilibrium in a Capital Asset Market". Econometrica. 34 (4): 768–783.
- ^ a b c Fama, Eugene F.; French, Kenneth R. (2004). "The Capital Asset Pricing Model: Theory and Evidence". Journal of Economic Perspectives. 18 (3): 25–46.
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- ^ Mossin, Jan (1966). "Equilibrium in a Capital Asset Market". Econometrica. 34 (4): 768–783.
- ^ Fama, Eugene F.; French, Kenneth R. (2004). "The CAPM: Theory and Evidence". Journal of Economic Perspectives. 18: 25–46.
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- ^ a b c d Lintner, John (1965). "The Valuation of Risk Assets". Review of Economics and Statistics. 47 (1): 13–37.
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