Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/340264 
Year of Publication: 
2022
Citation: 
[Journal:] Borsa İstanbul Review [ISSN:] 2214-8469 [Volume:] 22 [Issue:] 2 [Year:] 2022 [Pages:] 226-239
Publisher: 
Elsevier, Amsterdam
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.
Subjects: 
Asset pricing
Google search volume index
Investor sentiment
Stock market
JEL: 
G11
G12
G14
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.