Herding behaviour in Indian equity market: a quantile regression approach
by Aleem Ansari
American J. of Finance and Accounting (AJFA), Vol. 6, No. 1, 2019

Abstract: This study examines the presence of herding behaviour in the Indian equity market using average daily data from BSE-500 Index stocks for January 2000 to December 2018. The study employs model developed by Chang et al. (2000) using cross sectional absolute deviation of return dispersion as a measure of herding behaviour. The empirical results of OLS regression reveal absence of herding behaviour for pre, during and post crisis period in normal market return and the asymmetric market condition. Similarly, no evidence of herding behaviour is found by examining trading volume and volatility. Further, robustness checked by applying non-parametric techniques of quantile regression, the result remains consistent with OLS findings. Overall, herding behaviour does not prevail in the Indian equity market. The outcome of increased return dispersion may be due to the efficient micro information in the Indian equity market.

Online publication date: Wed, 18-Dec-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the American J. of Finance and Accounting (AJFA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com