News sentiment to market impact and its feedback effect

Mo, Sheung Yin Kevin, Liu, Anqi ORCID: https://orcid.org/0000-0002-9224-084X and Yang, Steve Y. 2016. News sentiment to market impact and its feedback effect. Environment Systems and Decisions 36 (2) , pp. 158-166. 10.1007/s10669-016-9590-9

Preview

PDF - Accepted Post-Print Version Download (1MB) | Preview

Abstract

Although market feedback on investor sentiment effect has been conceptually identified in the existing finance literature and investment strategies have been designed to explore this effect, there lacks systematic analysis in a quantified manner on such effect. Digitization of news articles and the advancement of computational intelligence applications have led to a growing influence of news sentiment over financial markets in recent years. News sentiment has often been used as a proxy for gauging investor sentiment and reflecting the aggregate confidence of the society toward future market. Previous studies have primarily focused on elucidating the unidirectional impact of news sentiment on market returns and not vice versa. In this study, we analyze more than 12 millions of news articles and document the presence of a significant feedback effect between news sentiment and market returns across the major indices in the US financial market. More specifically, we find that news sentiment exhibits a lag-5 effect on market returns and conversely market returns elicit consistent lag-1 effects on news sentiment. This aligns well with our intuition that news sentiment drives trading activity and investment decisions. In turn, heightened investment activity further stimulates involuntary responses, which manifest in the form of more news coverage and publications. The evidence presented highlights the strong correlation between news sentiment and market returns and demonstrates the benefits of advancing knowledge in data-driven modeling and its interaction with market movements.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	H Social Sciences > HG Finance Q Science > QA Mathematics
Publisher:	Springer Verlag
ISSN:	2194-5403
Date of First Compliant Deposit:	26 February 2018
Date of Acceptance:	22 April 2016
Last Modified:	30 Nov 2024 03:45
URI:	https://orca.cardiff.ac.uk/id/eprint/109451

Citation Data

Cited 17 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item