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Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns

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  • Turan G. Bali
  • Nusret Cakici
  • Robert F. Whitelaw

Abstract

Motivated by existing evidence of a preference among investors for assets with lottery-like payoffs and that many investors are poorly diversified, we investigate the significance of extreme positive returns in the cross-sectional pricing of stocks. Portfolio-level analyses and firm-level cross-sectional regressions indicate a negative and significant relation between the maximum daily return over the past one month (MAX) and expected stock returns. Average raw and risk-adjusted return differences between stocks in the lowest and highest MAX deciles exceed 1% per month. These results are robust to controls for size, book-to-market, momentum, short-term reversals, liquidity, and skewness. Of particular interest, including MAX reverses the puzzling negative relation between returns and idiosyncratic volatility recently documented in Ang et al. (2006, 2008).

Suggested Citation

  • Turan G. Bali & Nusret Cakici & Robert F. Whitelaw, 2009. "Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns," NBER Working Papers 14804, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14804
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    Cited by:

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    2. Hadhri, Sinda & Ftiti, Zied, 2019. "Asset allocation and investment opportunities in emerging stock markets: Evidence from return asymmetry-based analysis," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 187-200.
    3. Bley, Jorg & Saad, Mohsen, 2012. "Idiosyncratic risk and expected returns in frontier markets: Evidence from GCC," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 538-554.
    4. Thomas Conlon & John Cotter & Chenglu Jin, 2016. "The Intervaling Effect on Higher-Order Co-Moments," Working Papers 201602, Geary Institute, University College Dublin.
    5. Seema REHMAN & Saqib SHARIF & Wali ULLAH, 2023. "Relative Signed Jump and Future Stock Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 25-45, March.

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    JEL classification:

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

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