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Dynamic Style Preferences of Individual Investors and Stock Returns

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  • Kumar, Alok

Abstract

This study shows that individual investors systematically shift their preferences across extreme style portfolios (small vs. large, value vs. growth). These preference shifts are influenced by past style returns and earnings differentials, and advice from investment newsletters, but are unaffected by innovations in macroeconomic variables or shifts in expectations about future cash flows. Furthermore, investors’ dynamic style preferences influence returns along multiple dimensions: i) the contemporaneous relation between style returns and style-level preference shifts is strong, ii) there is weak evidence of style return predictability, and iii) the correlations among stocks within a style increase when investors move into or out of the style with greater intensity. Overall, the results indicate that stock categorization influences investors’ portfolio decisions and stock returns.

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  • Kumar, Alok, 2009. "Dynamic Style Preferences of Individual Investors and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(03), pages 607-640, June.
  • Handle: RePEc:cup:jfinqa:v:44:y:2009:i:03:p:607-640_99
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    Cited by:

    1. Tai, Vivian W. & Lai, Yi-Hsun & Lin, Lin, 2014. "Local institutional shareholders and corporate hedging policies," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 287-312.
    2. Kim, Soo-Hyun & Kang, Hyoung-Goo, 2015. "Tactical Asset Allocation Using Investors' Sentiment," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 56(2), pages 177-195, December.
    3. Hongbo Guo & Xianhua Wei, 2017. "Momentum Decomposition: Evidence from Emerging Markets," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(2), pages 123-132, February.
    4. Wahal, Sunil & Yavuz, M. Deniz, 2013. "Style investing, comovement and return predictability," Journal of Financial Economics, Elsevier, vol. 107(1), pages 136-154.
    5. Choi, Jongmoo Jay & Kedar-Levy, Haim & Yoo, Sean Sehyun, 2015. "Are individual or institutional investors the agents of bubbles?," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 1-22.
    6. Noman, Abdullah & Naka, Atsuyuki & Zirek, Duygu, 2017. "Examining return predictability of industry style portfolios with prior return relative to a benchmark," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 193-203.
    7. Cronqvist, Henrik & Siegel, Stephan & Yu, Frank, 2015. "Value versus growth investing: Why do different investors have different styles?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 333-349.
    8. Chao, Hsiao-Ying & Collver, Charles & Limthanakom, Natcha, 2012. "Global style momentum," Journal of Empirical Finance, Elsevier, pages 319-333.
    9. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2016. "Taming models of prospect theory in the Wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    10. repec:eee:finana:v:52:y:2017:i:c:p:77-87 is not listed on IDEAS
    11. Broman, Markus S., 2016. "Liquidity, style investing and excess comovement of exchange-traded fund returns," Journal of Financial Markets, Elsevier, vol. 30(C), pages 27-53.
    12. Jame, Russell & Tong, Qing, 2014. "Industry-based style investing," Journal of Financial Markets, Elsevier, vol. 19(C), pages 110-130.
    13. repec:oup:rfinst:v:29:y:2016:i:12:p:3471-3518. is not listed on IDEAS
    14. repec:eee:finana:v:53:y:2017:i:c:p:25-36 is not listed on IDEAS

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