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Business cycle and herding behavior in stock returns: theory and evidence
被引:0
|作者:
Kwangwon Ahn
Linxiao Cong
Hanwool Jang
Daniel Sungyeon Kim
机构:
[1] Chung-Ang University,
[2] Yonsei University,undefined
[3] McGill University,undefined
[4] Glasgow Caledonian University,undefined
来源:
Financial Innovation
|
/
10卷
关键词:
Herd behavior;
Business cycle;
Economic uncertainty;
Quantum model;
Power law exponent;
D O I:
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学科分类号:
摘要:
This study explains the role of economic uncertainty as a bridge between business cycles and investors’ herding behavior. Starting with a conventional stochastic differential equation representing the evolution of stock returns, we provide a simple theoretical model and empirically demonstrate it. Specifically, the growth rate of gross domestic product and the power law exponent are used as proxies for business cycles and herding behavior, respectively. We find stronger herding behavior during recessions than during booms. We attribute this to economic uncertainty, which leads to strong behavioral bias in the stock market. These findings are consistent with the predictions of the quantum model.
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