Sentiment, Convergence of Opinion, and Market Crash
AbstractI introduce a novel proxy of investor sentiment and differences of opinion among trendchasing investors to forecast skewness in daily aggregate stock market returns. The new proxy is an easy-to-construct, real time measure available at different frequencies for more than a century. Empirically I find that negative skewness is most pronounced when investors have experienced high sentiment. The role of differences of opinion depends on the states of average investor sentiment: it positively forecasts market skewness in an optimistic state, but negatively forecasts it in a pessimistic state. Conceptually, I provide an explanation for the role of differences of opinion based on the theory of Abreu and Brunnermeier (2003). I argue that convergence of opinion in an optimistic state indicates that the price run-up is unlikely to be sustained since fewer investors can remain net buyers in the future. Therefore rational arbitrageurs coordinate their attack on the bubble, leading to a market crash. Vice versa, the convergence of opinion in a pessimistic state promotes coordinated purchases among rational arbitrageurs, leading to a strong recovery.
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Bibliographic InfoPaper provided by Bangor Business School, Prifysgol Bangor University (Cymru / Wales) in its series Working Papers with number 10012.
Length: 41 pages
Date of creation: May 2010
Date of revision:
investor sentiment; differences of opinion; technical trading; skewness; stock market crash;
Find related papers by JEL classification:
- G01 - Financial Economics - - General - - - Financial Crises
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
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