Joint news, attention spillover, and market returns predictability
We analyze over 2.6 million news articles and propose a novel measure of joint news coverage of firms. The measure strongly and negatively predicts market returns, with a monthly R-squared of 3.93% in sample and 6.52% out of sample. The relation is causal, robust to existing predictors, and is espec...
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sg-smu-ink.lkcsb_research-78872022-01-27T07:47:43Z Joint news, attention spillover, and market returns predictability GUO, Li PENG, Lin TAO, Yubo Jun TU, We analyze over 2.6 million news articles and propose a novel measure of joint news coverage of firms. The measure strongly and negatively predicts market returns, with a monthly R-squared of 3.93% in sample and 6.52% out of sample. The relation is causal, robust to existing predictors, and is especially strong when market uncertainty is high or when market frictions are large. At the firm level, joint news coverage is associated with a 20.3% increase in EDGAR downloads by new IPs from the investor bases of the other covered firms. Our evidence suggests that joint news triggers investor attention spillover across firms, which aggregates and causes marketwide overvaluations and subsequent reversals. 2021-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/6888 info:doi/10.2139/ssrn.2927561 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7887/viewcontent/SSRN_id2927561.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Attention spillover News Investor base EDGAR search Return predictability Self news Business and Corporate Communications Finance and Financial Management Portfolio and Security Analysis |
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Attention spillover News Investor base EDGAR search Return predictability Self news Business and Corporate Communications Finance and Financial Management Portfolio and Security Analysis GUO, Li PENG, Lin TAO, Yubo Jun TU, Joint news, attention spillover, and market returns predictability |
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We analyze over 2.6 million news articles and propose a novel measure of joint news coverage of firms. The measure strongly and negatively predicts market returns, with a monthly R-squared of 3.93% in sample and 6.52% out of sample. The relation is causal, robust to existing predictors, and is especially strong when market uncertainty is high or when market frictions are large. At the firm level, joint news coverage is associated with a 20.3% increase in EDGAR downloads by new IPs from the investor bases of the other covered firms. Our evidence suggests that joint news triggers investor attention spillover across firms, which aggregates and causes marketwide overvaluations and subsequent reversals. |
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GUO, Li PENG, Lin TAO, Yubo Jun TU, |
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GUO, Li PENG, Lin TAO, Yubo Jun TU, |
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GUO, Li |
title |
Joint news, attention spillover, and market returns predictability |
title_short |
Joint news, attention spillover, and market returns predictability |
title_full |
Joint news, attention spillover, and market returns predictability |
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Joint news, attention spillover, and market returns predictability |
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Joint news, attention spillover, and market returns predictability |
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joint news, attention spillover, and market returns predictability |
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Institutional Knowledge at Singapore Management University |
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2021 |
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https://ink.library.smu.edu.sg/lkcsb_research/6888 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7887/viewcontent/SSRN_id2927561.pdf |
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