How do investors behave in the context of a market crash? Evidence from India
International Journal of Emerging Markets
ISSN: 1746-8809
Article publication date: 19 March 2020
Issue publication date: 21 April 2020
Abstract
Purpose
The main aim of this paper is to empirically test at market level, the investors' differential reaction to information, contribution of their confidence level and adaptive behaviour to excessive market volatility in Indian stock market.
Design/methodology/approach
The Bivariate Vector Autoregression and Impulse Response Analysis are used to study whether investors over/under-react to private and public information. EGARCH models are used to study the contribution of investors' over/under-confidence and adaptive behaviour to excessive market volatility.
Findings
The investors over-react to private information and under-react to public information during pre-crash period, become overconfident and contribute to excessive volatility. They under-react to both private and public information during after-crash period, become under-confident and also conform to adaptive market hypothesis (AMH).
Research limitations/implications
The empirical results of the study can help investors to minimize the negative impact of over/under-confidence on their expected utility.
Practical implications
The investors shall perform a post-analysis of investment, become aware of their past behavioural mistakes and start adapting to changing market conditions. This shall move the markets towards a new equilibrium in long run thus conforming AMH. However, the investors sometimes display an apparently irrational behaviour during this process.
Originality/value
To the best of the author's knowledge, this is the first study at market level data examining investors' over/under-reaction, over/under-confidence and adaptive behaviour in the context of stock market crash.
Keywords
Citation
Mushinada, V.N.C. (2020), "How do investors behave in the context of a market crash? Evidence from India", International Journal of Emerging Markets, Vol. 15 No. 6, pp. 1201-1217. https://doi.org/10.1108/IJOEM-05-2019-0357
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited