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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 |
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Elsevier BV
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64270 |
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v2 64270 2023-08-31 Does a search attention index explain portfolio returns in India? 4ed8c020eae0c9bec4f5d9495d86d415 Abedin Abedin Abedin Abedin true false 2023-08-31 BAF 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. Journal Article Borsa Istanbul Review 22 2 226 239 Elsevier BV 2214-8450 Asset pricing, Google search volume index, Investor sentiment, Stock market 5 4 2022 2022-04-05 10.1016/j.bir.2021.04.003 http://dx.doi.org/10.1016/j.bir.2021.04.003 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University 2023-09-19T16:15:26.9803623 2023-08-31T19:04:13.4780483 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Munusamy Dharani 1 M. Kabir Hassan 0000-0001-6274-3545 2 Abedin Abedin 3 Mohd Adib Ismail 0000-0002-2051-7010 4 64270__28560__b7846d02f7a54daf83d7f8b63aeb6e40.pdf 64270.VOR.pdf 2023-09-18T14:50:19.6013015 Output 770732 application/pdf Version of Record true © 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). true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Does a search attention index explain portfolio returns in India? |
spellingShingle |
Does a search attention index explain portfolio returns in India? Abedin Abedin |
title_short |
Does a search attention index explain portfolio returns in India? |
title_full |
Does a search attention index explain portfolio returns in India? |
title_fullStr |
Does a search attention index explain portfolio returns in India? |
title_full_unstemmed |
Does a search attention index explain portfolio returns in India? |
title_sort |
Does a search attention index explain portfolio returns in India? |
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4ed8c020eae0c9bec4f5d9495d86d415 |
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4ed8c020eae0c9bec4f5d9495d86d415_***_Abedin Abedin |
author |
Abedin Abedin |
author2 |
Munusamy Dharani M. Kabir Hassan Abedin Abedin Mohd Adib Ismail |
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Borsa Istanbul Review |
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22 |
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226 |
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2022 |
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Swansea University |
issn |
2214-8450 |
doi_str_mv |
10.1016/j.bir.2021.04.003 |
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Elsevier BV |
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Faculty of Humanities and Social Sciences |
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School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance |
url |
http://dx.doi.org/10.1016/j.bir.2021.04.003 |
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description |
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. |
published_date |
2022-04-05T16:15:29Z |
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11.037603 |