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Study Guide: Intro to Finance: Risk and Return - Beta Market, Sensitivity Calculation Interpretation
Source: https://www.fatskills.com/corporate-finance/chapter/intro-to-finance-finance-risk-and-return-beta-market-sensitivity-calculation-interpretation

Intro to Finance: Risk and Return - Beta Market, Sensitivity Calculation Interpretation

By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.

⏱️ ~3 min read

What This Is

Beta measures a stock's market sensitivity, indicating how its returns respond to overall market movements. A high beta stock tends to be more volatile and sensitive to market fluctuations, while a low beta stock is less sensitive. For example, Apple's beta is around 0.9, indicating that its stock price tends to move 9% for every 1% change in the overall market.

Key Formulas & Symbols

  • ? = Cov(Ri, Rm) / ?m^2 where-= beta, Cov(Ri, Rm) = covariance between stock i and market returns, ?m^2 = variance of market returns.
  • Ri =-+ ?Rm + ?i where Ri = stock i's return,-= excess return,-= beta, Rm = market return, ?i = error term.
  • Cov(Ri, Rm) = ?[(Ri - Ri?)(Rm - Rm?)] / (n - 1) where Cov(Ri, Rm) = covariance between stock i and market returns, Ri = individual stock return, Ri? = mean stock return, Rm = market return, Rm? = mean market return, n = number of observations.
  • ?m^2 = ?(Rm - Rm?)^2 / (n - 1) where ?m^2 = variance of market returns, Rm = market return, Rm? = mean market return, n = number of observations.
  • Rf = r + (1 - r) × g where Rf = risk-free rate, r = debt-to-equity ratio, g = growth rate.
  • Rm = ?(Ri) / n where Rm = market return, Ri = individual stock return, n = number of observations.
  • Ri? = ?(Ri) / n where Ri? = mean stock return, Ri = individual stock return, n = number of observations.

Step-by-Step Calculation

  1. Collect historical stock and market return data.
  2. Calculate the covariance between the stock and market returns using the formula: Cov(Ri, Rm) = ?[(Ri - Ri?)(Rm - Rm?)] / (n - 1).
  3. Calculate the variance of the market returns using the formula: ?m^2 = ?(Rm - Rm?)^2 / (n - 1).
  4. Calculate the beta using the formula:-= Cov(Ri, Rm) / ?m^2.
  5. Use the CAPM to estimate the stock's expected return: Ri =-+ ?Rm + ?i.

Common Mistakes

  • Mistake: Using a short time period to estimate beta, which can lead to inaccurate results.
  • Correction: Use a long time period (at least 5 years) to estimate beta to minimize estimation errors.
  • Mistake: Failing to account for non-trading days when calculating returns.
  • Correction: Use a trading day frequency (e.g., monthly or quarterly) to calculate returns.
  • Mistake: Confusing beta with alpha.
  • Correction: Beta measures market sensitivity, while alpha measures excess return.

Exam / CFA Tips

  • Tip: Be prepared to calculate beta using historical data and the CAPM.
  • Tip: Understand the differences between beta and alpha.
  • Tip: Be aware of the limitations of beta, such as its sensitivity to estimation errors.

Quick Practice Problem

Problem: Calculate the beta of Tesla's stock using historical data from 2015 to 2020.

Answer:-= 1.35 (using historical data from 2015 to 2020).

Explanation: Tesla's beta is estimated to be 1.35, indicating that its stock price tends to be highly sensitive to market fluctuations.

Last-Minute Cram Sheet

  • Beta measures market sensitivity, not excess return.
  • Use a long time period to estimate beta.
  • Beta can be affected by non-trading days.
  • Beta is not the same as alpha.
  • Beta is calculated using the CAPM: Ri =-+ ?Rm + ?i.
  • Covariance is calculated using: Cov(Ri, Rm) = ?[(Ri - Ri?)(Rm - Rm?)] / (n - 1).
  • Variance is calculated using: ?m^2 = ?(Rm - Rm?)^2 / (n - 1).
  • Risk-free rate is calculated using: Rf = r + (1 - r) × g.