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Prakarsa Panjinegara
University of Lampung
Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Study of Loss Aversion Theory Based on Connected Papers AI Rahmah Dianti Putri; Mahatma Kufepaksi; Prakarsa Panjinegara
Journal of International Conference Proceedings Vol 8, No 7 (2025): 2025 Bali ICPM Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v8i7.4723

Abstract

This study aims to analyze loss aversion behavioral bias in the capital market by utilizing artificial intelligence technology. The method used in this study is a literature review, and the literature sources were obtained using Connected Papers AI by entering the keyword “Loss Aversion.” Next, several recommended article titles related to the keyword will appear. In this study, the author chose the article title “Behavioral Risk Profiling: Measuring Loss Aversion of Individual Investors” as the main article. Then, Connected Papers AI created a visualization graph of articles that have a strong relationship with the reference article in terms of co-citation and bibliography merging. The author used the articles based on the visualization graph to create a literature review. From the visualization results, it can be seen that research on loss aversion is rooted in decision-making theory under risk, based on the prospect theory framework. aversion in time frame or social conditions.
Co-Authors Mahatma Kufepaksi Rahmah Dianti Putri