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Semibeta asset pricing in the Korean stock market

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  • Chu, Pyung Kun

Abstract

I examine risk premiums in the Korean stock market using a semibeta asset pricing model. I show that this model performs better than the CAPM in explaining the cross-section of stock returns in Korea. Among four semibetas, three semibetas have significant risk premiums in the Korean stock market, while the semibeta associated with jointly negative stock and market returns shows a significant risk premium only in the financial crisis period. Moreover, I find that conglomerate firms in Korea do not carry significant semibeta-based risk premiums.

Suggested Citation

  • Chu, Pyung Kun, 2022. "Semibeta asset pricing in the Korean stock market," Finance Research Letters, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004433
    DOI: 10.1016/j.frl.2022.103245
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. David Buchuk & Borja Larrain & Mounu Prem & Francisco Urzúa Infante, 2020. "How Do Internal Capital Markets Work? Evidence from the Great Recession [Synthetic control methods for comparative case studies: estimating the effect of California’s tobacco control program]," Review of Finance, European Finance Association, vol. 24(4), pages 847-889.
    3. Stein, Jeremy C, 1997. "Internal Capital Markets and the Competition for Corporate Resources," Journal of Finance, American Finance Association, vol. 52(1), pages 111-133, March.
    4. Raffaele Santioni & Fabio Schiantarelli & Philip E Strahan, 2020. "Internal Capital Markets in Times of Crisis: The Benefit of Group Affiliation [Real effects of the sovereign debt crisis in Europe: evidence from syndicated loans]," Review of Finance, European Finance Association, vol. 24(4), pages 773-811.
    5. Guiso, Luigi & Sapienza, Paola & Zingales, Luigi, 2018. "Time varying risk aversion," Journal of Financial Economics, Elsevier, vol. 128(3), pages 403-421.
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    8. Raghuram Rajan & Henri Servaes & Luigi Zingales, 2000. "The Cost of Diversity: The Diversification Discount and Inefficient Investment," Journal of Finance, American Finance Association, vol. 55(1), pages 35-80, February.
    9. David S. Scharfstein & Jeremy C. Stein, 2000. "The Dark Side of Internal Capital Markets: Divisional Rent‐Seeking and Inefficient Investment," Journal of Finance, American Finance Association, vol. 55(6), pages 2537-2564, December.
    10. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    13. 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.
    14. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    15. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    16. Kraus, Alan & Litzenberger, Robert H, 1976. "Skewness Preference and the Valuation of Risk Assets," Journal of Finance, American Finance Association, vol. 31(4), pages 1085-1100, September.
    17. Heaton, John & Lucas, Deborah, 2000. "Portfolio Choice in the Presence of Background Risk," Economic Journal, Royal Economic Society, vol. 110(460), pages 1-26, January.
    18. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Semibeta; Risk premium; Korean stock market;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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