Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series

David Allen, Michael McAleer and Abhay K. Singh
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Abhay K. Singh: School of Accounting, Finance and Economics, Edith Cowan University

No 2014-02, Documentos de Trabajo del ICAE from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico

Abstract: This paper features an analysis of the relationship between the volatility of the Dow Jones Industrial Average (DJIA) Index and a sentiment news series using daily data obtained from the Thomson Reuters News Analytics (TRNA) provided by SIRCA (The Securities Industry Research Centre of the Asia Pacic). The expansion of on-line nancial news sources, such as internet news and social media sources, provides instantaneous access to nancial news. Commercial agencies have started developing their own ltered nancial news feeds, which are used by investors and traders to support their algorithmic trading strategies. In this paper we use a sentiment series, developed by TRNA, to construct a series of daily sentiment scores for Dow Jones Industrial Average (DJIA) stock index component companies. A variety of forms of this measure, namely basic scores, absolute values of the series, squared values of the series, and the rst dierences of the series, are used to estimate three standard volatility models, namely GARCH, EGARCH and GJR. We use these alternative daily DJIA market sentiment scores to examine the relationship between nancial news sentiment scores and the volatility of the DJIA return series. We demonstrate how this calibration of machine ltered news can improve volatility measures.

Keywords: DJIA; Sentiment Scores; TRNA; Conditional Volatility Models. (search for similar items in EconPapers)
JEL-codes: C58 G14 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2014-01-14
New Economics Papers: this item is included in nep-tur
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https://eprints.ucm.es/id/eprint/24356/1/1402.pdf (application/pdf)

Related works:
Working Paper: Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series (2014)
Working Paper: Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Sentiment Series (2014)
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