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Option Trading and the Intervalling Effect Bias in Beta

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  • Ho, Li-Chin Jennifer
  • Tsay, Jeffrey J

Abstract

Prior studies show that the beta coefficient of a security changes systematically as the length of measurement interval is varied. This phenomenon, which is called the intervalling effect bias in beta, has been attributed to the friction in the trading system that causes the delays in the price-adjustment process. This study shows that option listing is associated with a decline in the beta intervalling effect bias. The decline is most pronounced for small firms. We also find that our sample firms grow significantly after option listing. Since prior research indicates that market value is a major determinant of the magnitude of the intervalling effect, we re-examine our results using a subsample that controls for market value. The results indicate that the decline in the beta bias from the pre-listing to post-listing period is still prevalent after we control for the change in firm size. Overall, the evidence is consistent with the notion that option trading reduces the delays in the price-adjustment process, which in turn reduces the intervalling effect bias in beta. Copyright 2001 by Kluwer Academic Publishers

Suggested Citation

  • Ho, Li-Chin Jennifer & Tsay, Jeffrey J, 2001. "Option Trading and the Intervalling Effect Bias in Beta," Review of Quantitative Finance and Accounting, Springer, vol. 17(3), pages 267-282, November.
    • Handle: RePEc:kap:rqfnac:v:17:y:2001:i:3:p:267-82
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    Cited by:

    1. Georgios Mantsios & Stylianos Xanthopoulos, 2016. "The Beta intervalling effect during a deep economic crisis - evidence from Greece," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 9(1), pages 19-26, April.
    2. Pankaj Agrrawal & Faye W. Gilbert & Jason Harkins, 2022. "Time Dependence of CAPM Betas on the Choice of Interval Frequency and Return Timeframes: Is There an Optimum?," JRFM, MDPI, vol. 15(11), pages 1-18, November.

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