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A Shifting Regimes Approach to the Stationarity of the Market Model Parameters of Individual Securities

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  • Hays, Patrick A.
  • Upton, David E.

Abstract

Recent studies indicate that the widespread assumption of parameter stationarity in empirical applications of asset pricing models may be inappropriate. This paper investigates the feasibility of modeling parameter instability as a sequence of persistent stable regimes. Recursive residual and log likelihood techniques are combined to detect and locate shift points. The results indicate that regime shifts are widespread, frequent, and often large enough to significantly effect empirical findings. The nature of the shifts appears to be a rotation of the regression line, indicating that correction of both alpha and beta parameters is required.

Suggested Citation

  • Hays, Patrick A. & Upton, David E., 1986. "A Shifting Regimes Approach to the Stationarity of the Market Model Parameters of Individual Securities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(3), pages 307-321, September.
    • Handle: RePEc:cup:jfinqa:v:21:y:1986:i:03:p:307-321_01
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    Cited by:

    1. Panayiotis C. Andreou & Christodoulos Louca & Christos S. Savva, 2016. "Short-horizon event study estimation with a STAR model and real contaminated events," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 673-697, October.
    2. Sherrick, Bruce J. & Irwin, Scott H. & Forster, D. Lynn, 1990. "Nonstationarity Of Soybean Futures Price Distributions: Option-Based Evidence," Illinois Agricultural Economics Staff Paper 244666, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    3. Edward Lawrence & Gordon Karels & Arun Prakash & Siddharth Shankar, 2011. "Effect of regulation FD on disclosures of information by firms," Applied Financial Economics, Taylor & Francis Journals, vol. 21(13), pages 979-996.
    4. Donald G. Christensen & Donald R. Levi, 1993. "Corporate Restructuring Involving Real Estate Assets: Some Earnings and Risk Signal Implications," Journal of Real Estate Research, American Real Estate Society, vol. 8(4), pages 579-596.
    5. Debasish Maitra & Kushankur Dey, 2012. "Dividend Announcement and Market Response in Indian Stock Market: An Event-Study Analysis," Global Business Review, International Management Institute, vol. 13(2), pages 269-283, June.
    6. Burnett, John E. & Carroll, Carolyn & Thistle, Paul, 1995. "Implications of multiple structural changes in event studies," The Quarterly Review of Economics and Finance, Elsevier, vol. 35(4), pages 467-480.
    7. Prabhdeep Kaur & Jaspal Singh & Sidharath Seth, 2021. "Investigating the Dynamics of Exchange Traded Funds Across the Bear and Bull Markets: Evidence from Indian Equity ETFs," Vision, , vol. 25(3), pages 350-360, September.
    8. Michael J. Gombola & Douglas R. Kahl & Kenneth P. Nunn Jr., 1988. "Valuation Of The Preferred Stock Sinking Fund Feature: A Time-Series Approach," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 11(1), pages 33-42, March.
    9. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.

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