2020
DOI: 10.1108/ijoem-05-2019-0357
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How do investors behave in the context of a market crash? Evidence from India

Abstract: PurposeThe 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/approachThe 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 ad… Show more

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Cited by 16 publications
(10 citation statements)
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References 79 publications
(111 reference statements)
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“…The results of overconfidence bias and market return volatility shows that overconfidence of market players contributed to the observed volatility on GSE during the Covid-19 pandemic period. Our findings are quite similar to the ones presented by Abbes (2013), Jlass et al (2014) and Mushinada (2020), which imply investors overreact to private information and underreact to available public information and as result become overconfident and contribute. Therefore, there is empirical findings demonstrating the presence of overconfidence bias and its contribution to observed volatility in the GSE during the Covid-19 pandemic period.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…The results of overconfidence bias and market return volatility shows that overconfidence of market players contributed to the observed volatility on GSE during the Covid-19 pandemic period. Our findings are quite similar to the ones presented by Abbes (2013), Jlass et al (2014) and Mushinada (2020), which imply investors overreact to private information and underreact to available public information and as result become overconfident and contribute. Therefore, there is empirical findings demonstrating the presence of overconfidence bias and its contribution to observed volatility in the GSE during the Covid-19 pandemic period.…”
Section: Discussionsupporting
confidence: 92%
“…Second, this paper assesses how overconfidence bias contributes to the observed volatility on the Ghana stock market during the Covid-19 pandemic period. This is motivated by previous studies that document overconfidence bias on financial markets (Statman et al, 2006;Shrotryia and Kalra, 2021;Kunjal and Peerbhai, 2021) and the empirical evidence that overconfidence bias contribute to stock market volatility (Mushinada, 2020;Jlassi et al, 2014;Chuang and Lee, 2006). This study focuses on the market level due to the argument of Fama (1998) cited in Chuang and Lee (2006) that valid finance theory should be able to explain the market as a whole rather than a specific group or type of investors.…”
Section: Introductionmentioning
confidence: 97%
“…Academic literature states that as the value of portfolios of the investors declines during the financial crisis, they become fearful and enraged due to uncertainty of their future. They become irrational and reluctant to show tolerance and expectation for the market upturn in future (Mushinada, 2020 ). Also, investors turn out to be risk averters and consequentially decrease their allocation in equity due to a rise in perceived risk (Baker and Ricciardi, 2014 ).…”
Section: Analysis Of Resultsmentioning
confidence: 99%
“…Existing work in traditional nancial markets has found that participants typically become risk-averse following market crashes [14]. Risky behaviour is most prevalent in the period preceding a market crash, often due to overcon dence [15]. Whilst recommendations to responsibly invest may be helpful to some investors, the amount of nancial advice provided on the subreddit could be a cause for concern, especially during periods in the market where engagement in risky or gambling-like trading is likely to be higher.…”
Section: Discussionmentioning
confidence: 99%