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Does a search attention index explain portfolio returns in India?
Borsa Istanbul Review, Volume: 22, Issue: 2, Pages: 226 - 239
Swansea University Author: Abedin Abedin
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© 2021 Borsa İstanbul Anonim Şirketi. Published by Elsevier B.V. Distributed under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
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DOI (Published version): 10.1016/j.bir.2021.04.003
Abstract
Employing asset-pricing models over the period 2012 to 2017, this study examines whether a search attention index (SAI) explains the variation in the weekly excess return of stocks. The study finds that the estimated abnormal return of a portfolio based on search intensity is significantly high for...
Published in: | Borsa Istanbul Review |
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ISSN: | 2214-8450 |
Published: |
Elsevier BV
2022
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64270 |
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Abstract: |
Employing asset-pricing models over the period 2012 to 2017, this study examines whether a search attention index (SAI) explains the variation in the weekly excess return of stocks. The study finds that the estimated abnormal return of a portfolio based on search intensity is significantly high for stocks with higher search intensity and low for stocks with lower search intensity. Further, the study observes that, when the SAI is high, the excess returns are high for stocks with a high value, high volatility, and high sensitivity. Interestingly, the study documents that in the Indian market investor attention is irrelevant for stocks with extremely high risk. This study finds that the SAI in India explains the variation in the excess return of stocks as well as the market, size, value, and momentum factors. |
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Keywords: |
Asset pricing, Google search volume index, Investor sentiment, Stock market |
College: |
Faculty of Humanities and Social Sciences |
Issue: |
2 |
Start Page: |
226 |
End Page: |
239 |