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The Industry Beta as a Substitute for the Individual Stock Beta – An Empirical Analysis

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  • Frieder Meyer-Bullerdiek

Abstract

The beta factor is often used to determine the systematic risk when calculating the cost of equity as part of the company valuation. This study examines whether it makes sense to use the industry beta instead of the beta factor of a listed company. Accordingly, an empirical test is performed to determine whether the assumption that the individual stock betas within a sector are homogeneous is justified. The study refers to the stocks included in the German DAX index, whereby 32 out of the 40 stocks could be taken into account, which were divided into six different sectors. The beta factors are calculated on the basis of the monthly stock and index returns over the past five years. A multiple confidence interval comparison of all stocks included in a sector shows that there is no homogeneity of beta factors in four out of six sectors analyzed in this study, as significant differences in systematic risk could be detected in these sectors even with the very conservative Bonferroni method. The subsequent comparison of the individual beta confidence intervals with the respective industry beta shows that periods can be found for all sectors in which individual betas differ significantly from the industry beta. Consequently, the findings of this specific study suggest that when determining the cost of equity as part of an objective company valuation, the individual beta should not be replaced by an industry beta. JEL classification numbers: C12, G11.

Suggested Citation

  • Frieder Meyer-Bullerdiek, 2025. "The Industry Beta as a Substitute for the Individual Stock Beta – An Empirical Analysis," Journal of Risk & Control, SCIENPRESS Ltd, vol. 12(1), pages 1-4.
  • Handle: RePEc:spt:rmkjrc:v:12:y:2025:i:1:f:12_1_4
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    References listed on IDEAS

    as
    1. Baele, Lieven & Londono, Juan M., 2013. "Understanding industry betas," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 30-51.
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    8. Frieder Meyer-Bullerdiek, 2024. "The Quality of Blume and Vasicek Betas for forecasting systematic risk: Evidence from a German stock portfolio," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(6), pages 1-1.
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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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