Analysing the behavioural finance impact of 'fake news' phenomena on financial markets: a representative agent model and empirical validation
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AbstractThis paper proposes an original behavioural finance representative agent model, to explain how fake news’ empirical price impacts can persist in finance despite contradicting the efficient-market hypothesis. The model reconciles empirically-observed price overreactions to fake news with empirically-observed price underreactions to real news, and predicts a novel secondary impact of fake news: that fake news in a security amplifies underreactions to subsequent real news for the security. Evaluating the model against a large-sample event study of the 2019 Chinese ADR Delisting Threat fake news and debunking event, this paper finds strong qualitative validation for its model’s dynamics and predictions.
1992 ◽
Vol 23
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pp. 45-66
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2009 ◽
Vol 1
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pp. 29-54
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2017 ◽
Vol 30
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pp. 964-986
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2001 ◽
Vol 91
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pp. 509-524
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