Earticle

초록

영어

We investigate whether herd behavior in equity market is led by ‘core’ stocks or by ‘peripheral’ stocks connected to core stocks, which we identify using the minimum spanning tree, a technique in network theory. Using non-securities stocks listed in the Korea Exchange from January 2005 to December 2015, we find that core stocks are not necessarily the stocks whose market values are large but are mid-sized stocks. As in previous studies, we find strong evidence of herding in the Korean stock market. However, herding arises only when the market is in stress: during bear states, core stocks herd toward to the market return and peripheral stocks herd to core stocks in their clusters. During bull markets, however, adverse herding arises mainly driven by securities stocks and thus cross-sectional dispersion in returns increases.

목차

Abstract
 1. Introduction
 2. Network in the Stock Market and Herding
  2.1. Analysis of Network and Clusters
  2.2. Herd Measure and Testable Models
  2.3. Empirical models for testing herd behavior in equity market
 3. Empirical Analysis
  3.1. Network structure of the Korean stock market
  3.2. Estimation of Market States and Properties of Cross-sectional Dispersion
  3.3. Herd Behavior Investigated with the Networks
  3.4. Robustness of Results
 4. Conclusions
 Appendix
 References

키워드

저자

• Soosung Hwang [ Sungkyunkwan University ]
• Young-Il Kim [ Sungkyunkwan University ]
• Jinho Shin [ Sungkyunkwan University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국재무학회 학술대회

• 간기

  부정기

• 수록기간

  2006~2024

• 십진분류

  KDC 325 DDC 330