How to Calculate Alpha and Beta in Excel (Easy Steps)

Overview of Alpha and Beta in the Stock Market

Alpha and Beta are two important measures used in finance to evaluate the performance of an investment compared to its standard.

Alpha is a measure of an investment’s performance that cannot be attributed to the performance of the market as a whole. A positive alpha indicates that the investment has performed better than its standard, while a negative alpha indicates that the investment has underperformed.

Beta measures how much an investment’s returns move in response to changes in the standard returns. A beta of 1 indicates that an investment’s returns move in line with the standard returns, while a beta greater than 1 indicates that the investment is more volatile than the standard, and a beta less than 1 indicates that the investment is less volatile than the standard.

Formula for Calculating Alpha:

Alpha= Average portfolio return of the investment – (Risk-free rate + Beta * (Average market returns of the benchmark – Risk-free rate))

Formula for Calculating Beta:

Beta= Covariance of the portfolio returns with the expected returns / Variance of the portfolio returns

Step 1 – Prepare Outline and Dataset

  • Create a dataset containing Portfolio Returns (standard returns) and Market Returns.

dataset for calculating alpha & beta

=AVERAGE(C5:C14)

calculating average portfolio returns

  • Similarly, calculate the average of Market Returns:
=AVERAGE(D5:D14)

calculating average of market returns


Step 2 – Define a Risk-Free Rate

  • Manually insert the Risk-Free Rate. Let’s assume a risk-free rate of 1.5%.

entering risk-free rate manually


Step 3 – Calculate Beta Using COVARIANCE.P and VAR.P Functions

  • Calculate Beta using the following formula in cell G6:
=COVARIANCE.P(C5:C14,D5:D14)/VAR.P(C5:C14)

calculating portfolio beta

Explanation: The COVARIANCE.P function computes the covariance between the two data sets (Portfolio Returns (C5:C14) and Market Returns (C5:C14 )), and VAR.P calculates the variance of Portfolio Returns.  We divided the covariance result with the variance result to get Beta.


Step 4 – Determine Expected Return

  • Calculate the Expected Return using the following formula in cell G8:
=G4+G6*(D15-G4)

determining expected return rate

Explanation: Expected Return = (Risk-free rate + Beta * (Average market returns of the benchmark – Risk-free rate))


Step 5 – Calculate Jensen’s Alpha

  • Compute Alpha using the following formula in cell G10:
=C15-G8

obtaining Jensen's alpha

Explanation: Alpha = Average portfolio return of the investment – Expected Return


Frequently Asked Questions

  • Interpreting Alpha and Beta:
    • A positive alpha means the investment outperformed its standard, while a negative alpha indicates underperformance.
    • Beta of 1 implies returns move in line with the standard, >1 means higher volatility, and <1 means lower volatility.
  • Calculating Daily Returns:
    • Use the formula: (Price today - Price yesterday) / Price yesterday.
  • Limitations of Alpha and Beta:
    • Historical data-based; may not predict future performance.
    • Ignores management quality, industry trends, and macroeconomic conditions.
    • Not suitable for all investment types.

Remember

  • To handle cell references carefully (consider absolute references with “$” sign).
  • Adjust the Risk-Free Rate as needed.

Download Practice Workbook

You can download the practice workbook from here:


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Mehedi Hasan Shimul
Mehedi Hasan Shimul

Md. Mehedi Hasan, with a BSc in Electrical & Electronic Engineering from Bangladesh University of Engineering and Technology, holds a crucial position as an Excel & VBA Content Developer at ExcelDemy. Driven by a deep passion for research and innovation, he actively immerses himself in Excel. In his role, Mehedi not only skillfully addresses complex challenges but also exhibits enthusiasm and expertise in gracefully navigating tough situations, emphasizing his steadfast commitment to consistently deliver exceptional and quality content.... Read Full Bio

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