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- W2914122978 abstract "By applying machine learning to accurately and cost effectively classify photos based on sentiment, we introduce a daily market-level investor sentiment index (Photo Pessimism) from a large sample of news photos. Between 1926 and 2018, Photo Pessimism predicts market return reversal and increase in trading volume. The predictability pattern is concentrated among stocks with high limits to arbitrage and during high uncertainty periods. Photo Pessimism enhances pessimism embedded in text, but subsumes it during days with traumas and influential photos. Photo Pessimism from business news has over six times stronger predictive power than Photo Pessimism from general news." @default.
- W2914122978 created "2019-02-21" @default.
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- W2914122978 date "2018-01-01" @default.
- W2914122978 modified "2023-09-27" @default.
- W2914122978 title "A Picture Is Worth a Thousand Words: Market Sentiment From Photos" @default.
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- W2914122978 doi "https://doi.org/10.2139/ssrn.3297930" @default.
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