Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/13471
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dc.contributor.authorGupta, Suman
dc.contributor.authorGoyal, Vinay
dc.contributor.authorKalakbandi, Vinay Kumar
dc.contributor.authorBasu, Sankarshan
dc.date.accessioned2020-07-20T14:35:53Z-
dc.date.available2020-07-20T14:35:53Z-
dc.date.issued2018
dc.identifier.issn2197-1722
dc.identifier.issn0304-0941
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/13471-
dc.description.abstractIn this paper, we present evidence in favour of the overconfidence bias and its persistence in pre-, during and post-global recession sub-samples in China and India. The Chinese and Indian investors follow past market returns for the longer duration and trade excessively, which is posited as overconfidence bias. The global recession is facilitated as a structural break to examine the endurance of the overconfident trading activities. The Chinese investors are found to be more overconfident than the Indian investors in each sub-sample. We also explore that the Chinese and Indian investors are more overconfident in up than in down market states and overconfident trading behaviour of the Chinese investors is more than that of the Indian investors in both market states. The endogenous structure of vector autoregression also considers liquidity as one of the drivers of overconfident trading behaviour. Besides trading volume, market liquidity also follows market returns for a short duration, but not vice versa. The lead–lag relationship of volume–volatility and liquidity–volatility is also explored by considering volatility as the exogenous variable.
dc.publisherSpringer
dc.subjectOverconfidence
dc.subjectLiquidity
dc.subjectGlobal recession
dc.subjectVector autoregression
dc.subjectEmerging markets
dc.titleOverconfidence, trading volume and liquidity effect in Asia’s Giants: evidence from pre-, during- and post-global recession
dc.typeJournal Article
dc.identifier.doi10.1007/s40622-018-0185-9
dc.pages235-257p.
dc.vol.noVol.45-
dc.issue.noIss.3-
dc.journal.nameDecision
Appears in Collections:2010-2019
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