Hot Hand and Gambler's Fallacy in Teams: Evidence from Investment Experiments
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- Stöckl, Thomas & Huber, Jürgen & Kirchler, Michael & Lindner, Florian, 2015. "Hot hand and gambler's fallacy in teams: Evidence from investment experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 327-339.
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- Jimnee Deka & Meghna Sharma & Nishant Agarwal & Kamesh Tiwari, 2023. "Linking ESG-Investing Consciousness, Behavioral Biases, and Risk-Perception: Scale Validation with Specifics of Indian Retail Investors," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 9(1), pages 70-91.
- Sarantis Tsiaplias & Qi Zeng & Guay Lim, 2021. "Retail investor expectations and trading preferences," Melbourne Institute Working Paper Series wp2021n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Pelster, Matthias, 2020. "The gambler’s and hot-hand fallacies: Empirical evidence from trading data," Economics Letters, Elsevier, vol. 187(C).
- Ibrahim Filiz & Thomas Nahmer & Markus Spiwoks & Kilian Bizer, 2018. "Portfolio diversification: the influence of herding, status-quo bias, and the gambler’s fallacy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 167-205, May.
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- Mikhail Anufriev & Te Bao & Angela Sutan & Jan Tuinstra, 2018. "Fee Structure and Mutual Fund Choice: An Experiment," Working Paper Series 45, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
- Chiah, Mardy & Tian, Xiao & Zhong, Angel, 2022. "Lockdown and retail trading in the equity market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
- Antoine Melki, 2021. "Interdisciplinary Computing: An Epistemological Examination and Proposed PLOs," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 7.
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More about this item
Keywords
Hot hand belief; Gambler's fallacy; Experimental finance; Experts; Team decision making;All these keywords.
JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBE-2013-02-16 (Cognitive and Behavioural Economics)
- NEP-CDM-2013-02-16 (Collective Decision-Making)
- NEP-EVO-2013-02-16 (Evolutionary Economics)
- NEP-EXP-2013-02-16 (Experimental Economics)
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