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The Anna Karenina principle and stock prices

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  • Baur, Dirk G.

Abstract

The Anna Karenina principle (AKP) based on the opening line of Leo Tolstoy’s Anna Karenina, “All happy families are all alike; each unhappy family is unhappy in its own way” is applied to financial markets. We test the AKP by defining happy firms as positive return firms and unhappy firms as negative return firms and analyse whether happy firms are more “alike” than unhappy firms. We use return correlations, cross-sectional return and cross-sectional volatility dispersion as measures and find for different stock index constituent samples totalling more than 8000 stocks that the AKP does not hold in general. In contrast, we find that the average return volatility of unhappy firms is larger than that of happy firms. This cross-sectional version of volatility asymmetry also implies that unhappy firms are more stressed than happy firms.

Suggested Citation

  • Baur, Dirk G., 2022. "The Anna Karenina principle and stock prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    • Handle: RePEc:eee:beexfi:v:33:y:2022:i:c:s2214635021001465
    DOI: 10.1016/j.jbef.2021.100602
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    References listed on IDEAS

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    1. Taimur Baig & Ilan Goldfajn, 1999. "Financial Market Contagion in the Asian Crisis," IMF Staff Papers, Palgrave Macmillan, vol. 46(2), pages 1-3.
    2. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    3. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    4. William B. English & Mico Loretan, 2000. "Evaluating \"correlation breakdowns\" during periods of market volatility," International Finance Discussion Papers 658, Board of Governors of the Federal Reserve System (U.S.).
    5. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    6. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    7. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    8. Brian H. Boyer & Michael S. Gibson & Mico Loretan, 1997. "Pitfalls in tests for changes in correlations," International Finance Discussion Papers 597, Board of Governors of the Federal Reserve System (U.S.).
    9. Andrew J. Patton & Kevin Sheppard, 2015. "Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 683-697, July.
    10. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    11. Bollerslev, Tim & Li, Sophia Zhengzi & Zhao, Bingzhi, 2020. "Good Volatility, Bad Volatility, and the Cross Section of Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(3), pages 751-781, May.
    12. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    13. Haugen, Robert A & Talmor, Eli & Torous, Walter N, 1991. "The Effect of Volatility Changes on the Level of Stock Prices and Subsequent Expected Returns," Journal of Finance, American Finance Association, vol. 46(3), pages 985-1007, July.
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    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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