Far away from home: Investors' underreaction to geographically dispersed information

Using a novel data set to identify geographic peer firms based on the locations of both firms' headquarters and material subsidiaries, we show that returns on geographical peers have strong predictive power for focal firm returns. A value-weighted long-short strategy that buys stocks with the h...

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Main Authors: CHEN, Zilin, CHU, Liya, LIANG, Dawei, Jun TU
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語言:English
出版: Institutional Knowledge at Singapore Management University 2022
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在線閱讀:https://ink.library.smu.edu.sg/lkcsb_research/7200
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spelling sg-smu-ink.lkcsb_research-81992023-05-11T08:42:02Z Far away from home: Investors' underreaction to geographically dispersed information CHEN, Zilin CHU, Liya LIANG, Dawei Jun TU, Using a novel data set to identify geographic peer firms based on the locations of both firms' headquarters and material subsidiaries, we show that returns on geographical peers have strong predictive power for focal firm returns. A value-weighted long-short strategy that buys stocks with the highest geo-peer returns and shorts stocks with the lowest geo-peer returns generates a Fama and French(2015) five-factor alpha of 0.6% per month. This strategy is distinct from other cross-firm momentum strategies and cannot be explained by local economic conditions. The effect is more pronounced among firms that receive less investor attention and that are more costly to arbitrage, consistent with slow information diffusion in the geographic network into stock prices. 2022-03-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/7200 info:doi/10.1016/j.jedc.2022.104325 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Geographic peers limited attention material subsidiaries return predictability slow information diffusion Finance and Financial Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Geographic peers
limited attention
material subsidiaries
return predictability
slow information diffusion
Finance and Financial Management
spellingShingle Geographic peers
limited attention
material subsidiaries
return predictability
slow information diffusion
Finance and Financial Management
CHEN, Zilin
CHU, Liya
LIANG, Dawei
Jun TU,
Far away from home: Investors' underreaction to geographically dispersed information
description Using a novel data set to identify geographic peer firms based on the locations of both firms' headquarters and material subsidiaries, we show that returns on geographical peers have strong predictive power for focal firm returns. A value-weighted long-short strategy that buys stocks with the highest geo-peer returns and shorts stocks with the lowest geo-peer returns generates a Fama and French(2015) five-factor alpha of 0.6% per month. This strategy is distinct from other cross-firm momentum strategies and cannot be explained by local economic conditions. The effect is more pronounced among firms that receive less investor attention and that are more costly to arbitrage, consistent with slow information diffusion in the geographic network into stock prices.
format text
author CHEN, Zilin
CHU, Liya
LIANG, Dawei
Jun TU,
author_facet CHEN, Zilin
CHU, Liya
LIANG, Dawei
Jun TU,
author_sort CHEN, Zilin
title Far away from home: Investors' underreaction to geographically dispersed information
title_short Far away from home: Investors' underreaction to geographically dispersed information
title_full Far away from home: Investors' underreaction to geographically dispersed information
title_fullStr Far away from home: Investors' underreaction to geographically dispersed information
title_full_unstemmed Far away from home: Investors' underreaction to geographically dispersed information
title_sort far away from home: investors' underreaction to geographically dispersed information
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/lkcsb_research/7200
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