Demystifying disposition effect: past, present and future

Mayank Joshipura, Nehal Joshipura and Aditya Sharma

Qualitative Research in Financial Markets, 2023, vol. 16, issue 1, 32-59

Abstract: Purpose - The disposition effect remains one of the most significant investor behavior puzzles. This study aims to consolidate the knowledge, explore current dynamics, elicit trends and offer future research directions to demystify the disposition effect. Design/methodology/approach - This study applies the hybrid review method. It first used bibliometric analysis (212 documents), followed by content analysis (54 articles) to analyze the breadth and depth of literature on the disposition effect. Findings - This study presents performance analysis and science mapping. It identifies five main research streams: evidence, implications and mitigation techniques; theoretical explanations; investor biases and hedonic framing; attributes, beliefs and preferences; and implications for asset pricing and market efficiency. This study further offers future research directions for disposition effect research. Research limitations/implications - This study deploys sequential bibliometric and content analysis. A meta-analysis of quantitative articles could provide specific insights regarding the disposition effect. Besides, this study is based on Scopus-indexed journals only. Practical implications - This study benefits investors and portfolio managers as they learn effective ways to guard against the disposition effect. Policymakers may tweak tax laws to incentivize long-term holding, and regulators can run investor education campaigns to minimize the disposition effect’s consequences effectively. Originality/value - To the best of the authors’ knowledge, this is probably the first hybrid review of high-quality, contemporary articles on the disposition effect that offers science mapping, research streams, future research directions and a succinct summary of theories, contexts, characteristics and methods deployed in the field of research.

Keywords: Loss aversion; Prospect theory; Investor behavior; Behavioral finance; Bibliometric; Content analysis; Disposition effect; B26; G11; G14; G40; G41 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:qrfmpp:qrfm-07-2022-0114

DOI: 10.1108/QRFM-07-2022-0114

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