Home Biased Analysts in Emerging Markets

We find that local analyst recommendations are systematically more optimistic than foreign analyst recommendations in emerging markets. The effects of this novel home bias among local analysts overwhelm any information asymmetry between foreign and local analysts. Consequently, local analyst upgrade...

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Main Authors: LAI, Sandy, TEO, Melvyn
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2608
https://ink.library.smu.edu.sg/context/lkcsb_research/article/3607/viewcontent/Home_Biased_Analysts_in_Emerging_Markets.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.lkcsb_research-36072017-12-15T05:58:12Z Home Biased Analysts in Emerging Markets LAI, Sandy TEO, Melvyn We find that local analyst recommendations are systematically more optimistic than foreign analyst recommendations in emerging markets. The effects of this novel home bias among local analysts overwhelm any information asymmetry between foreign and local analysts. Consequently, local analyst upgrades underperform foreign analyst upgrades, while local analyst downgrades outperform foreign analyst downgrades. Neither foreign investors, local institutions, nor retail investors appear to be fully cognizant of this bias. Trade reactions suggest that foreign investors overestimate the bias in foreign analyst recommendations while local institutions underestimate the bias in local analyst recommendations. These results are pervasive across countries, time periods, and stock groupings, and can be traced to investment banking pressure. 2008-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/2608 info:doi/10.1017/S0022109000004257 https://ink.library.smu.edu.sg/context/lkcsb_research/article/3607/viewcontent/Home_Biased_Analysts_in_Emerging_Markets.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 Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Finance and Financial Management
Portfolio and Security Analysis
spellingShingle Finance and Financial Management
Portfolio and Security Analysis
LAI, Sandy
TEO, Melvyn
Home Biased Analysts in Emerging Markets
description We find that local analyst recommendations are systematically more optimistic than foreign analyst recommendations in emerging markets. The effects of this novel home bias among local analysts overwhelm any information asymmetry between foreign and local analysts. Consequently, local analyst upgrades underperform foreign analyst upgrades, while local analyst downgrades outperform foreign analyst downgrades. Neither foreign investors, local institutions, nor retail investors appear to be fully cognizant of this bias. Trade reactions suggest that foreign investors overestimate the bias in foreign analyst recommendations while local institutions underestimate the bias in local analyst recommendations. These results are pervasive across countries, time periods, and stock groupings, and can be traced to investment banking pressure.
format text
author LAI, Sandy
TEO, Melvyn
author_facet LAI, Sandy
TEO, Melvyn
author_sort LAI, Sandy
title Home Biased Analysts in Emerging Markets
title_short Home Biased Analysts in Emerging Markets
title_full Home Biased Analysts in Emerging Markets
title_fullStr Home Biased Analysts in Emerging Markets
title_full_unstemmed Home Biased Analysts in Emerging Markets
title_sort home biased analysts in emerging markets
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/lkcsb_research/2608
https://ink.library.smu.edu.sg/context/lkcsb_research/article/3607/viewcontent/Home_Biased_Analysts_in_Emerging_Markets.pdf
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