Aggregate news sentiment and stock market returns in India

dc.contributor.author	Chari, S.
dc.contributor.author	Hegde-Desai, P.
dc.contributor.author	Borde, N.
dc.contributor.author	George, B.
dc.date.accessioned	2023-08-16T10:25:52Z
dc.date.available	2023-08-16T10:25:52Z
dc.date.issued	2023
dc.identifier.citation	Journal of Risk and Financial Management. 16(8); 2023; ArticleID_376.	en_US
dc.identifier.uri	https://www.mdpi.com/1911-8074/16/8/376
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/7077
dc.description.abstract	This paper contributes to the advancement of noise trader theory by examining the connection between aggregate news sentiment and stock market returns during days of significant stock market movement. In contrast to previous studies that solely focused on company-specific news sentiment, this research explores the impact of aggregate news sentiment. To draw conclusions, GARCH modeling, regression analysis, and dictionary-based sentiment analysis are employed. The findings, based on data from India, reveal that aggregate news sentiment has a short-lived influence, with notable effects stemming from the business and politics categories.	en_US
dc.publisher	MDPI	en_US
dc.subject	Management Studies	en_US
dc.title	Aggregate news sentiment and stock market returns in India	en_US
dc.type	Journal article	en_US
dc.identifier.impf	cs