Journal of Behavioral Finance · 2016 · 37 citations · 55 references
BusinessEconomicsFinanceBehavioral FinanceFinancial EconomicsForecastingAsset Return ModelingCapital MarketsInvestor PsychologyInvestor SentimentMarket SentimentStock MarketsAttentionEquity Market ReactionsInvestor Sentiment EffectsMarket Reaction To InformationPrice ReversalsSentiment-based Trading SignalsSentiment-driven TradingStock Market Returns
We use Google Search volume to track changes investors' positive and negative market attention. Our results support the hypothesis that this information reflects investors' optimistic and pessimistic anticipation and can be used to predict near-term future returns. We find that changes in negative search term volume of “market crash” and “bear market” and changes in positive search term volume “market rally” explain near-term stock returns. Changes in investors' attention are partly related to past stock market returns, implying that investors are prone to pay attention to possible price reversals. These measures of market attention are potential gauges of investor sentiment.
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Investor Sentiment and the Cross‐Section of Stock Returns
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