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The MAX Effect

In: The Lottery Mindset: Investors, Gambling and the Stock Market

Citations

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Cited by:

  1. Shuonan Yuan & Marc Oliver Rieger & Nilüfer Caliskan, 2020. "Maxing out: the puzzling influence of past maximum returns on future asset prices in a cross-country analysis," Management Review Quarterly, Springer, vol. 70(4), pages 567-589, November.
  2. Cheema, Muhammad A. & Nartea, Gilbert V., 2017. "Momentum returns, market states, and market dynamics: Is China different?," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 85-97.
  3. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
  4. Yong-Ho Cheon & Kuan-Hui Lee, 2018. "Maxing Out Globally: Individualism, Investor Attention, and the Cross Section of Expected Stock Returns," Management Science, INFORMS, vol. 64(12), pages 5807-5831, December.
  5. Zi-Mei Wang & Donald Lien, 2022. "Is maximum daily return a lottery? Evidence from monthly revenue announcements," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 545-600, August.
  6. Yang, Chunpeng & Zhou, Liyun, 2016. "Individual stock crowded trades, individual stock investor sentiment and excess returns," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 39-53.
  7. Li, Jinfang, 2020. "The momentum and reversal effects of investor sentiment on stock prices," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  8. Gao, Bin & Yang, Chunpeng, 2017. "Forecasting stock index futures returns with mixed-frequency sentiment," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 69-83.
  9. Ali, Syed Riaz Mahmood & Hasan, Mohammad Nurul & Östermark, Ralf, 2020. "Are idiosyncratic risk and extreme positive return priced in the Indian equity market?," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 530-545.
  10. Auer, Benjamin R. & Rottmann, Horst, 2019. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Journal of Economics and Business, Elsevier, vol. 103(C), pages 61-79.
  11. Tsai, I-Chun, 2016. "Wealth effect and investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 111-123.
  12. Hsu, Ching-Chi & Chen, Miao-Ling, 2018. "Timing of advertising and the MAX effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 105-114.
  13. Yang, Chunpeng & Zhou, Liyun, 2015. "Investor trading behavior, investor sentiment and asset prices," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 42-62.
  14. Yin, Libo & Yang, Zhichen, 2022. "The profitability effect: Insight from a dynamic perspective," International Review of Financial Analysis, Elsevier, vol. 80(C).
  15. Yin, Libo & Liao, Huiyi, 2020. "Firm’s quality increases and the cross-section of stock returns: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 228-243.
  16. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
  17. Ali, Syed Riaz Mahmood & Rahman, M Arifur & Hasan, Mohammad Nurul & Östermark, Ralf, 2020. "Positive IVOL-MAX effect: A study on the Singapore Stock Market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  18. I-Chun Tsai, 2018. "Investigating Gender Differences in Real Estate Trading Sentiments," The American Economist, Sage Publications, vol. 63(2), pages 187-214, October.
  19. Tong Suk Kim & Heewoo Park, 2018. "Is stock return predictability of option‐implied skewness affected by the market state?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(9), pages 1024-1042, September.
  20. Ali, Syed Riaz Mahmood & Ahmed, Shaker & Östermark, Ralf, 2020. "Extreme returns and the investor’s expectation for future volatility: Evidence from the Finnish stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 260-269.
  21. Hai, Hoang Van & Park, Jong Won & Tsai, Ping-Chen & Eom, Cheoljun, 2020. "Lottery mindset, mispricing and idiosyncratic volatility puzzle: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  22. Fan, Ruixin & Xiong, Xiong & Gao, Ya, 2021. "Can the probability of extreme returns be the basis for profitable portfolios? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 76(C).
  23. Hung, Weifeng & Yang, J. Jimmy, 2018. "The MAX effect: Lottery stocks with price limits and limits to arbitrage," Journal of Financial Markets, Elsevier, vol. 41(C), pages 77-91.
  24. Leo Julianto & Irwan Adi Ekaputra, 2020. "Max-Effect in the Indonesian Market," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 19-27.
  25. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
  26. Mei-Chen Lin, 2020. "When analysts encounter lottery-like stocks: lottery-like stocks and analyst stock recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 327-353, July.
  27. Li, Yi & Urquhart, Andrew & Wang, Pengfei & Zhang, Wei, 2021. "MAX momentum in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
  28. Nilesh Gupta & Joshy Jacob, 2021. "The Interplay Between Sentiment and MAX: Evidence from an Emerging Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(2), pages 192-217, August.
  29. Baars, Maren & Mohrschladt, Hannes, 2021. "An alternative behavioral explanation for the MAX effect," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 868-886.
  30. Zhong, Angel & Gray, Philip, 2016. "The MAX effect: An exploration of risk and mispricing explanations," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 76-90.
  31. Angel Zhong, 2022. "Institutional trading in stock market anomalies in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 893-930, March.
  32. Chan, Yue-Cheong & Chui, Andy C.W., 2016. "Gambling in the Hong Kong stock market," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 204-218.
  33. Mariano González-Sánchez & M. Encina Morales de Vega, 2021. "Influence of Bloomberg’s Investor Sentiment Index: Evidence from European Union Financial Sector," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
  34. Wan, Xiaoyuan, 2018. "Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 1-15.
  35. Byun, Suk-Joon & Kim, Da-Hea, 2016. "Gambling preference and individual equity option returns," Journal of Financial Economics, Elsevier, vol. 122(1), pages 155-174.
  36. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2022. "The conditional impact of investor sentiment in global stock markets: A two-channel examination," Journal of Banking & Finance, Elsevier, vol. 138(C).
  37. Zhu, Zhaobo & Harrison, DavidM. & Seiler, MichaelJ., 2020. "Preference for lottery features in real estate investment trusts," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 599-613.
  38. Gao, Ya & Han, Xing & Xiong, Xiong, 2021. "Loss from the chasing of MAX stocks: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  39. Yao, Shouyu & Wang, Chunfeng & Fang, Zhenming & Chiao, Chaoshin, 2021. "MAX is not the max under the interference of daily price limits: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 348-369.
  40. Zhou, Liyun & Yang, Chunpeng, 2019. "Stochastic investor sentiment, crowdedness and deviation of asset prices from fundamentals," Economic Modelling, Elsevier, vol. 79(C), pages 130-140.
  41. Tsai, I-Chun, 2017. "Diffusion of optimistic and pessimistic investor sentiment: An empirical study of an emerging market," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 22-34.
  42. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2019. "Extreme daily returns and the cross-section of expected returns: Evidence from Brazil," Journal of Business Research, Elsevier, vol. 102(C), pages 201-211.
  43. Zhang, Xindong & Xie, Lixu & Zhai, Yue & Wang, Dong, 2018. "Can microstructure noise explain the MAX effect?," Finance Research Letters, Elsevier, vol. 26(C), pages 185-191.
  44. Nguyen, Hung T. & Truong, Cameron, 2018. "When are extreme daily returns not lottery? At earnings announcements!," Journal of Financial Markets, Elsevier, vol. 41(C), pages 92-116.
  45. Melisa Ozdamar & Levent Akdeniz & Ahmet Sensoy, 2021. "Lottery-like preferences and the MAX effect in the cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
  46. Tao, Ran & Brooks, Chris & Bell, Adrian R., 2020. "When is a MAX not the MAX? How news resolves information uncertainty," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 33-51.
  47. Lin, Chaonan & Chen, Hong-Yi & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2021. "Time-dependent lottery preference and the cross-section of stock returns," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 272-294.
  48. Yang, Chunpeng & Zhou, Liyun, 2015. "Sentiment approach to underestimation and overestimation pricing model," Economic Modelling, Elsevier, vol. 51(C), pages 280-288.
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