Herding effect on idiosyncratic volatility in US industries

被引:55
作者
BenSaida, Ahmed [1 ]
机构
[1] Sousse Univ, IHEC, LaREMFiQ, BP 40 Sahloul 3, Sousse 4054, Tunisia
关键词
Herding; Turmoil; Volume turnover; Investor sentiment; Conditional volatility; STOCK-MARKET; TRADING VOLUME; INVESTORS HERD; BEHAVIOR; OVERCONFIDENCE; HYPOTHESIS;
D O I
10.1016/j.frl.2017.03.001
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper investigates the effect of herding behavior on excessive market idiosyncratic volatility in the U.S. stock market at a sectoral level. We carefully modify the cross sectional absolute deviation model to include trading volume and investors' sentiment as herding triggers, and show that herding is indeed present in almost every sector of the U.S. stock market during turmoil periods. Furthermore, our particularly designed GJR-GARCH model provides new insights on the effect of herding and volume turnover on the conditional volatility. The sample covers all listed companies in the American stock market over four major turmoil periods. (c) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:121 / 132
页数:12
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