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Estimating risk premiums for regulated firms when accounting for reference-day variation and high-order moments of return volatility

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  • Joe Hirschberg

    (University of Melbourne)

  • Jenny Lye

    (University of Melbourne)

Abstract

In many jurisdictions, the determination of the acceptable rate of return for the assets of a regulated utility is based partially on the Capital Asset Pricing Model (CAPM) to determine risk premia. However, the traditional estimation of CAPM can be criticized for not including considerations of reference-day risk as well as the higher moments of the rates of return. In this paper, we attempt to account for both the potential variation induced by the definition of specific reference days and the higher moments of rates of return in the estimates of Beta. This paper provides a new methodology to account for reference-day variation. We construct a set of pseudo-monthly rates of return to identify the influence of reference-day choice. These pseudo-monthly asset returns are used to estimate measures of asset systematic risk for an international panel of regulated firms. To evaluate the influence of return rate volatility we examine the errors from the estimation of the CAPM with least squares, least absolute deviation and a partially adaptive maximum likelihood specification.

Suggested Citation

  • Joe Hirschberg & Jenny Lye, 2021. "Estimating risk premiums for regulated firms when accounting for reference-day variation and high-order moments of return volatility," Environment Systems and Decisions, Springer, vol. 41(3), pages 455-467, September.
    • Handle: RePEc:spr:envsyd:v:41:y:2021:i:3:d:10.1007_s10669-021-09812-4
    DOI: 10.1007/s10669-021-09812-4
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    Cited by:

    1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2021. "Integrating data from physical and social science to address emerging societal challenges," Environment Systems and Decisions, Springer, vol. 41(3), pages 331-333, September.

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