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Institutional and Individual Sentiment: Smart Money and Noise Trader Risk Author info | Abstract | Publisher info | Download info | Related research | Statistics Schmeling, Maik
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Using a new data set on investor sentiment we show that institutional and individual sentiment proxy for smart money and noise trader risk, respectively. First, using bias-adjusted long-horizon regressions, we document that institutional sentiment forecasts stock market returns at intermediate horizons correctly, whereas individuals consistently get the direction wrong. Second, VEC models show that institutional sentiment forecasts mean-reversion whereas individuals forecast trend continuation. Finally, institutional investors take into account expected individual sentiment when forming their expectations in a way that higher (lower) expected sentiment of individuals lowers (increases) institutional return forecasts. Individuals neglect the information contained in institutional sentiment.
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Paper provided by Universität Hannover, Wirtschaftswissenschaftliche Fakultät in its series Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover with number
dp-337.
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Length: 37 pages
Date of creation: May 2006Date of revision:
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Keywords: investor sentiment predictive regressions noise trader smart money Other versions of this item:
Find related papers by JEL classification: G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G12 - Financial Economics - - General Financial Markets - - - Asset Pricing G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
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