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FINANCIAL ECONOMICS

MAX, lottery-type stocks, and the cross-section of stock returns: Evidence from the Chinese stock market

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Article: 2175471 | Received 20 Sep 2022, Accepted 27 Jan 2023, Published online: 20 Feb 2023

References

  • Amihud, Y. (2002). Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets, 5(1), 31–33. doi:10.1016/S1386-4181(01)00024-6
  • Ang, A., Hodrick, R. J., Xing, Y., & Zhang, X. (2006). The cross-section of volatility and expected returns. The Journal of Finance, 61(1), 259–299. doi:10.1111/j.1540-6261.2006.00836.x
  • Annaert, J., De Ceuster, M., & Verstegen, K. (2013). Are extreme returns priced in the stock market? European evidence. Journal of Banking & Finance, 37(9), 3401–3411. doi:10.1016/j.jbankfin.2013.05.015
  • Bali, T. G., Brown, S., Murray, S., & Tang, Y. (2017). A Lottery-Demand-Based Explanation of the Beta Anomaly. Journal of Financial and Quantitative Analysis, 52(6), 2369–2397. doi:10.1017/S0022109017000928
  • Bali, T. G., Cakici, N., & Whitelaw, R. F. (2011). Maxing out: Stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics, 99(2), 427–446. doi:10.1016/j.jfineco.2010.08.014
  • Bali, T. G., Hirshleifer, D. A., Lin, P., & Yi, T. (2019). Attention, social interaction, and investor attraction to lottery stocks. NBER Working Paper No. w29543. Available at SSRN: https://ssrn.com/abstract=3978401
  • Barber, B. M., & Odean, T. (2008). All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. The Review of Financial Studies, 21(2), 785–818. doi:10.1093/rfs/hhm079
  • Bergsma, K., & Tayal, J. (2019). Short Interest and Lottery Stocks. Financial Management, 48(1), 187–227. doi:10.1111/fima.12220
  • Bi, J., Gui, P., & Zhu, Y. (2022). Large transactions and the MAX effect: Evidence from China. Pacific-Basin Finance Journal, 75, 101852. doi:10.1016/j.pacfin.2022.101852
  • Boyer, B., Mitton, T., & Vorkink, K. (2010). Expected idiosyncratic skewness. The Review of Financial Studies, 23(1), 169–202. doi:10.1093/rfs/hhp041
  • Cao, J., & Han, B. (2016). Idiosyncratic Risk, Costly Arbitrage, and the Cross-Section of Stock Returns. Journal of Banking and Finance, 73, 1–15. doi:10.1016/j.jbankfin.2016.08.004
  • Cheon, Y. H., & Lee, K. H. (2018). Maxing Out Globally: Individualism, Investor Attention, and the Cross-Section of Expected Stock Returns. Management Science, 64(12), 5807–5831. doi:10.1287/mnsc.2017.2830
  • Egginton, J., & Hur, J. (2018). The robust “maximum daily return effect as demand for the lottery” and “idiosyncratic volatility puzzle. Journal of Empirical Finance, 47(C), 229–245. doi:10.1016/j.jempfin.2018.03.001
  • Fama, E. F., & French, K. R. (1992). The cross-section of expected stock returns. The Journal of Finance, 47(2), 427–465. doi:10.1111/j.1540-6261.1992.tb04398.x
  • Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56. doi:10.1016/0304-405X(93)90023-5
  • Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607–636. doi:10.1086/260061
  • Gu, M., Kang, W., & Xu, B. (2018). Limits of arbitrage and idiosyncratic volatility: Evidence from China stock market. Journal of Banking & Finance, 86(C), 240–258. doi:10.1016/j.jbankfin.2015.08.016
  • Han, B, & Kumar, A. (2013). Speculative Retail Trading and Asset Prices. Journal of Financial and Quantitative Analysis, 48(2), 377–404. doi:10.1017/S0022109013000100
  • Hou, K., & Loh, R. K. (2016). Have we solved the idiosyncratic volatility puzzle?. Journal of Financial Economics, 121(1), 167–194. doi:10.1016/j.jfineco.2016.02.013
  • Huang, W., Liu, Q., Rhee, S. G., & Zhang, L. (2010). Return reversals, idiosyncratic risk, and expected returns. Review of Financial Studies, 23(1), 147–168. doi:10.1093/rfs/hhp015
  • Kumar, A. (2009). Who gambles in the stock market?. The Journal of Finance, 64(4), 1889–1933. doi:10.1111/j.1540-6261.2009.01483.x
  • Lee, B., Li, W., & Wang, S. (2010). The dynamics of individual and institutional trading on the Shanghai Stock Exchange. Pacific-Basin Finance Journal, 18(1), 116–137. doi:10.1016/j.pacfin.2009.09.002
  • Liu, J., Stambaugh, R. F., & Yuan, Y. (2019). Size and value in China. Journal of Financial Economics, 134(1), 48–69. doi:10.1016/j.jfineco.2019.03.008
  • Nartea, G. V., Kong, D., & Wu, J. (2017). Do extreme returns matter in emerging markets? Evidence from the Chinese stock market. Journal of Banking & Finance, 76(C), 189–197. doi:10.1016/j.jbankfin.2016.12.008
  • Newey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. doi:10.2307/1913610
  • Stambaugh, R. F., Yu, J., & Yuan, Y. (2015). Arbitrage asymmetry and the idiosyncratic volatility puzzle. The Journal of Finance, 70(5), 1903–1948. doi:10.1111/jofi.12286
  • Walkshäusl, C. (2014). The MAX effect: European evidence. Journal of Banking & Finance, 42, 1–10. https://doi.org/10.1016/j.jbankfin.2014.01.020
  • Wan, X. (2018). Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market. International Review of Economics & Finance, 53(C), 1–15. doi:10.1016/j.iref.2017.10.015
  • Zhong, A., & Gray, P. (2016). The max effect: An exploration of risk and mispricing explanations. Journal of Banking and Finance, 65, 76–90. doi:10.1016/j.jbankfin.2016.01.007