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Can LLMs Mimic Human-Like Mental Accounting and Behavioral Biases?
ACM Conference on Economics and ComputationWe examine the economic decision-making and behavioral biases of Large Language Models (LLMs) across English, Chinese, Spanish, and French, with a specific emphasis on mental accounting.
Yan Leng
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, 2021
The concept of donation crowdfunding has been drawing enormous attention as it connects donors worldwide in a shorter time at a relatively lower cost.
Theerthaana P., Hansa Lysander Manohar
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The concept of donation crowdfunding has been drawing enormous attention as it connects donors worldwide in a shorter time at a relatively lower cost.
Theerthaana P., Hansa Lysander Manohar
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Optimal Tax Systems with Endogenous Behavioral Biases
Journal of Public Economics, 2021We develop an optimal tax framework that combines two recent extensions of tax analysis: a tax-systems emphasis on non-rate policy instruments, and a recognition of the role of behavioral biases. Although the implications of taxpayers' biases for optimal
Dylan T. Moore, J. Slemrod
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Behavioral Biases of Individual Investors' Decision-Making in Emerging Markets: A Mediation Approach
Journal of Emerging Management StudiesPurpose – This paper investigates the interplay between behavioral biases, financial risk propensity, and investment decisions among individual investors in Nepal’s emerging capital market.
Dilli Raj Sharma +2 more
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International Journal of Economics and Accounting
Behavioral economics has highlighted how cognitive biases influence financial decisionmaking, often leading to suboptimal outcomes. This paper explores the impact of behavioral biases such as overconfidence, loss aversion, and herding behavior on ...
Jean-Philippe Bonardi +2 more
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Behavioral economics has highlighted how cognitive biases influence financial decisionmaking, often leading to suboptimal outcomes. This paper explores the impact of behavioral biases such as overconfidence, loss aversion, and herding behavior on ...
Jean-Philippe Bonardi +2 more
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Complementarity of behavioral biases
Theory and Decision, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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AIMR Conference Proceedings, 1995
Alphas have two sources—unique information or the ability to exploit somebody else’s behavioral bias. The research reported here explored the relationship of low and high predictability (past forecast errors of earnings per share) to investor returns. Surprisingly, high-predictability stocks provided higher returns with substantially less risk than low-
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Alphas have two sources—unique information or the ability to exploit somebody else’s behavioral bias. The research reported here explored the relationship of low and high predictability (past forecast errors of earnings per share) to investor returns. Surprisingly, high-predictability stocks provided higher returns with substantially less risk than low-
openaire +1 more source
How financial literacy and demographic variables relate to behavioral biases
Managerial Finance, 2019PurposeThe purpose of this paper is to examine how financial literacy and demographic variables (gender, age, income level, education, occupation, marital status and investment experience) related to behavioral biases.Design/methodology/approachThe study
H. Baker +3 more
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Review of Behavioral Finance, 2019
Purpose Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various ...
Jinesh Jain, Nidhi Walia, Sanjay Gupta
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Purpose Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various ...
Jinesh Jain, Nidhi Walia, Sanjay Gupta
semanticscholar +1 more source
Knowledge and Beliefs About Behavioral Biases
In this study we explore the knowledge and beliefs regarding behavioral biases among behavioral scientists, financial professionals, and the general population. We investigate knowledge about ten prominent biases and collect beliefs about the knowledge levels of each of these subject pools by conducting an online survey with 547 participants.Huber, Jürgen +2 more
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