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A multifactor model of stock returns with endogenous regime switching

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  • Patrick Coggi
  • Bogdan Manescu

Abstract

We estimate a state-dependent multifactor model with two endogenous states. Its pricing accuracy is slightly superior to that of the Fama and French (1993, 1996) model. We have evidence for dramatically increased factor loadings for distress factors in one state. These results have implications for cost-of-capital calculations, portfolio management, risk analysis and other applications.

Suggested Citation

  • Patrick Coggi & Bogdan Manescu, 2004. "A multifactor model of stock returns with endogenous regime switching," University of St. Gallen Department of Economics working paper series 2004 2004-01, Department of Economics, University of St. Gallen.
  • Handle: RePEc:usg:dp2004:2004-01
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    References listed on IDEAS

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    6. Fama, Eugene F & French, Kenneth R, 1995. "Size and Book-to-Market Factors in Earnings and Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 131-155, March.
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    8. He, Jia, et al, 1996. "Tests of the Relations among Marketwide Factors, Firm-Specific Variables, and Stock Returns Using a Conditional Asset Pricing Model," Journal of Finance, American Finance Association, vol. 51(5), pages 1891-1908, December.
    9. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
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    12. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
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    Cited by:

    1. Peixin (Payton) Liu & Kuan Xu & Yonggan Zhao, 2011. "Market regimes, sectorial investments, and time‐varying risk premiums," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 7(2), pages 107-133, April.
    2. Takahiro Komatsu & Naoki Makimoto, 2015. "Dynamic Investment Strategy with Factor Models Under Regime Switches," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 22(2), pages 209-237, May.
    3. Massimo Guidolin, 2013. "Markov switching models in asset pricing research," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 1, pages 3-44, Edward Elgar Publishing.
    4. Jieting Chen & Yuichiro Kawaguchi, 2018. "Multi-Factor Asset-Pricing Models under Markov Regime Switches: Evidence from the Chinese Stock Market," IJFS, MDPI, vol. 6(2), pages 1-19, May.

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    More about this item

    Keywords

    Empirical asset pricing; endogenous regime switching; state-dependent models; nonstandard maximum-likelihood estimation;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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