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Investor sentiment and the MAX effect

Citations

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Cited by:

  1. Wang, Cheng & Han, Jing, 2023. "Prospect theory and mutual fund flows: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  2. 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.
  3. 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.
  4. Lu, Jing & Ho, Keng-Yu & Ho, Po-Hsin & Ko, Kuan-Cheng, 2023. "CEO overconfidence, lottery preference and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 54(C).
  5. 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.
  6. 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.
  7. Leo Julianto & Irwan Adi Ekaputra, 2020. "Max-Effect in the Indonesian Market," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 19-27.
  8. 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.
  9. Li, Yi & Urquhart, Andrew & Wang, Pengfei & Zhang, Wei, 2021. "MAX momentum in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
  10. Bradrania, Reza & Gao, Ya, 2024. "Lottery demand, weather and the cross-section of stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
  11. 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.
  12. 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.
  13. Hsin, Chin-Wen & Peng, Shu-Cing, 2023. "Investor propensity to speculate and price delay in emerging markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
  14. Chen, Haozhi & Zhang, Yue, 2023. "Research on the effect of firm-specific investor sentiment on the idiosyncratic volatility anomaly: Evidence from the Chinese market," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
  15. Zhao, Xiaojuan & Wang, Ye & Liu, Weiyi, 2024. "Someone like you: Lottery-like preference and the cross-section of expected returns in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
  16. 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.
  17. 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).
  18. Huang, Helen Hui & Sun, Jianchun & Zhang, Shunming, 2024. "Asset pricing for the lottery-like security under probability weighting: Based on generalized Wang transform," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
  19. 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.
  20. 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.
  21. 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.
  22. Tsai, I-Chun, 2016. "Wealth effect and investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 111-123.
  23. 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.
  24. 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.
  25. Yin, Libo & Yang, Zhichen, 2022. "The profitability effect: Insight from a dynamic perspective," International Review of Financial Analysis, Elsevier, vol. 80(C).
  26. Cheon, Yong-Ho & Lee, Kuan-Hui, 2018. "Time variation of MAX-premium with market volatility: Evidence from Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 32-46.
  27. 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.
  28. Nartea, Gilbert V. & Kong, Dongmin & Wu, Ji, 2017. "Do extreme returns matter in emerging markets? Evidence from the Chinese stock market," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 189-197.
  29. Lin, Mei-Chen, 2023. "Time-varying MAX preference: Evidence from revenue announcements," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  30. Wang, Zi-Mei & Lien, Donald, 2023. "Limited attention, salient anchor, and the modified MAX effect: Evidence from Taiwan’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Bi, Jia & Gui, Pingshu & Zhu, Yifeng, 2022. "Large transactions and the MAX effect: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
  36. Hao, Jing & Wang, Ziqiao & Zhang, Xiaotao & He, Feng & Chen, Xuehong, 2024. "Culture imprint and gambling preference: Evidence from individual investors' trading in the Chinese stock market," Emerging Markets Review, Elsevier, vol. 60(C).
  37. Kwon, Kyung Yoon & Min, Byoung-Kyu & Sun, Chenfei, 2022. "Enhancing the profitability of lottery strategies," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 166-184.
  38. 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.
  39. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, January.
  40. 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).
  41. Gao, Ya & Bradrania, Reza, 2024. "Property crime and lottery-related anomalies," Global Finance Journal, Elsevier, vol. 59(C).
  42. Cheng, Feiyang & Wang, Chunfeng & Cui, Xin & Wu, Ji & He, Feng, 2021. "Economic policy uncertainty exposure and stock price bubbles: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
  43. Caglayan, Mustafa O. & Lawrence, Edward & Reyes-Peña, Robinson, 2023. "Hot potatoes: Underpricing of stocks following extreme negative returns," Journal of Banking & Finance, Elsevier, vol. 149(C).
  44. 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).
  45. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
  46. 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.
  47. 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.
  48. 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.
  49. 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).
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. Liyun Zhou & Weinan Lin & Chunpeng Yang, 2024. "Investor trading behavior and asset prices: Evidence from quantile regression analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1722-1744, April.
  55. 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.
  56. Yang, Chunpeng & Zhou, Liyun, 2015. "Sentiment approach to underestimation and overestimation pricing model," Economic Modelling, Elsevier, vol. 51(C), pages 280-288.
  57. 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.
  58. 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.
  59. Muhammad A. Cheema & Gilbert V. Nartea & Yimei Man, 2020. "Maxing Out in China: Optimism or Attention?," International Review of Finance, International Review of Finance Ltd., vol. 20(4), pages 961-971, December.
  60. Cunfei Liao & Guohao Tang & Xiaoying Xu, 2024. "Smart money or chasing stars: Evidence from northbound trading in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1781-1803, April.
  61. 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.
  62. I-Chun Tsai, 2018. "Investigating Gender Differences in Real Estate Trading Sentiments," The American Economist, Sage Publications, vol. 63(2), pages 187-214, October.
  63. 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.
  64. 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).
  65. 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.
  66. Huang, Shuyang & Zeng, Ming, 2022. "Political sentiment and MAX effect," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  67. Xiao, Jihong & Jiang, Jiajie & Zhang, Yaojie, 2024. "Policy uncertainty, investor sentiment, and good and bad volatilities in the stock market: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
  68. 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.
  69. 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).
  70. Felix Reichenbach & Martin Walther, 2023. "Financial recommendations on Reddit, stock returns and cumulative prospect theory," Digital Finance, Springer, vol. 5(2), pages 421-448, June.
  71. Khasawneh, Maher & McMillan, David G. & Kambouroudis, Dimos, 2024. "Left-tail risk and UK stock return predictability: Underreaction, overreaction, and arbitrage difficulties," International Review of Financial Analysis, Elsevier, vol. 95(PA).
  72. 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.
  73. 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.
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