Title A comprehensive review of behavioral biases in financial decision-making: from classical finance to behavioral finance perspectives /
Authors Kanapickienė, Rasa ; Vasiliauskaitė, Deimantė ; Keliuotytė-Staniulėnienė, Greta ; Špicas, Renatas ; Kaab Omeir, Ahmad ; Kanapickas, Tomas
DOI 10.3846/jbem.2024.22314
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Is Part of Journal of business economics and management.. Vilnius : Vilnius TECH. 2024, vol. 25, no. 5, p. 1006-1029.. ISSN 1611-1699. eISSN 2029-4433
Keywords [eng] behavioral finance ; investment decision-making ; behavioral biases ; classical finance theories ; pompian’s framework ; investor personality ; rationality in finance
Abstract [eng] This paper offers a detailed analysis of the evolution of financial decision-making theories, focusing on the shift from classical finance to behavioral finance. Classical finance theories, including the Efficient Market Hypothesis and Modern Portfolio Theory, assume that investors behave rationally and that the market is efficient. However, these theories have faced criticisms highlighting the importance of considering irrational behaviors in financial markets. Behavioral finance addresses this gap by integrating psychological insights into financial decision-making. This study systematically reviews the literature on behavioral biases that affect individual investors, identifying fundamental biases and their impact on investment decisions. The analysis emphasizes the role of cognitive limitations and psychological tendencies in shaping market dynamics, influencing asset pricing, investment strategies, and market returns. The research also notes a shift in focus from market-level outcomes to the behavior of individual investors, with an increase in publications. The paper concludes that understanding investors’ biases is crucial for developing effective risk management strategies and investment recommendations, ultimately leading to improved market performance. The findings underscore the growing importance of behavioral finance in explaining investor behavior and market anomalies, highlighting areas for future research in this evolving field.
Published Vilnius : Vilnius TECH
Type Journal article
Language English
Publication date 2024
CC license CC license description