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학술논문재무연구2022.11 발행

Review of Behavioral Finance Studies on Korean Capital Markets

Review of Behavioral Finance Studies on Korean Capital Markets

변진호(이화여자대학교); 김근수(경희대학교); 박경희(한남대학교)

35권 4호, 89~153쪽

초록

This paper presents a comprehensive review of the behavioral finance literature on Korean financial markets, published recently in Korean academic journals. Our survey of behavioral finance in Korea is the follow-up work of Kim and Byun (2011). As part of the 2010 knowledge database project by the Korean Finance Association, we have previously reviewed behavioral studies in Korea. Compared to the environment at the time of the previous survey, most academic journals eagerly accept research articles from behavioral finance perspectives. Behavioral corporate finance has produced several studies on investor sentiment and managerial overconfidence. However, finding research on experimental tests or survey analyses from Korean finance journals remains challenging. This area requires interdisciplinary work with psychology researchers. Moreover, research methodologies using AI or machine learning could be more frequently used in future studies.

Abstract

This paper presents a comprehensive review of the behavioral finance literature on Korean financial markets, published recently in Korean academic journals. Our survey of behavioral finance in Korea is the follow-up work of Kim and Byun (2011). As part of the 2010 knowledge database project by the Korean Finance Association, we have previously reviewed behavioral studies in Korea. Compared to the environment at the time of the previous survey, most academic journals eagerly accept research articles from behavioral finance perspectives. Behavioral corporate finance has produced several studies on investor sentiment and managerial overconfidence. However, finding research on experimental tests or survey analyses from Korean finance journals remains challenging. This area requires interdisciplinary work with psychology researchers. Moreover, research methodologies using AI or machine learning could be more frequently used in future studies.

발행기관:
한국재무학회
DOI:
http://dx.doi.org/10.37197/ARFR.2022.35.4.3
분류:
경영학

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