News Sentiment Incorporation in Real-Time Trading: Alpha Testing the Event Trading Strategy in HFT

News Sentiment Incorporation in Real-Time Trading: Alpha Testing the Event Trading Strategy in HFT

Arodh Lal Karn, YE Qiang, Rakshha Kumari Karna, Xiaolin Wang
Copyright: © 2018 |Pages: 18
DOI: 10.4018/JGIM.2018100102
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This article describes how machines are the new breed of traders as news sentiment arrivals drive the stock price change. Strategies are the technical approach to search for profit from event-based speculations. This paper revisits these topics in a novel way and first uncovers distinctive characteristics of high frequency trading in Helsinki stock exchange insinuating the impression on positive recovers of event trading. Here is a better prediction by the incorporation of news on returns that proposed event trading strategy has significant effects on Finnish stock. This article contributes to the con temporarily embarked, upgrading form of practical paperwork on the take of news events in high economic science.
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These days’ setup devices in trading industry are network-programmed to reread info news. The programs are very much leeway of a highly sophisticated computerized automated trading system (Gagnon, 2013). It psychoanalyzes those estimable nifty words in the news based on algorithms fitted and does the trading accordingly. Stock traders can evaluate news trends to seize up public sentiment on a specific company or industry to spot a combination of sentiment plus trading activity, and trending over time (Foucault, Hombert, & Roşu, 2016). Leaked information to the high frequency trading (HFT) corporations is strings to the trading venue. HFT traders queen it over on an electronic order book in fractions of a second to fulfill trades using encyclopedic algorithms technology to decode signals from the upturning market mandate (like events and news) securing lots of quick buck (Brown, 2011). The consequences of the news declaration are computed in a simple linear regression:

(1) where,

  • JGIM.2018100102.m02 is the vector of returns

  • JGIM.2018100102.m03 is the vector of “surprise”

JGIM.2018100102.m04 is eccentric error correlating to announcement of news; JGIM.2018100102.m05 is regression intercept that claims shifts in returns and, finally, JGIM.2018100102.m06 is the effect of the news announcement. In spite of the instinct of simple returns, good deals of the financial literatures rely on logarithmic returns. Mathematically logarithmic returns denoted as,


Previous studies (Henry, 2008; Schumaker & Chen, 2009; Schumaker, Zhang, Huang, & Chen, 2012) triumphed in enacting connect between real time information and stock earning, however in Finnish HFT firms, it is not perceptible, which are just in startup phase. To hit this need, this research analyses how an event based trading strategy proposed by Aldridge, can enrich news tone as value drive to get lofty profit. We get quantitative evidence for alpha testing the event trading strategy in HFT firms in Finland. The question that we answer is how in newly developed HFT markets of Finland, the information-communicated impact in the illation of better trading strategies for generating alpha profit, without emphasizing need for speed “based on Aldridge event trading strategy.”


Literature Review

There is an emergent literature in management information system and finance that uses news sentiment incorporation in real time analysis and trading to strive and alter qualitative information. The IS based finance literature has had some degree of achievement at viewing a sturdy liaison between profits from bazaar and news as a proxy of information, (Shiller, 1981; French & Roll, 1986; Cutler, Poterba, & Summers, 1989; Campbell, 1991; Mitchell & Mulherin, 1994) While paper including (Engelberg, 2008) carries the initiative that news event has significant clues for stock prices, none stand for a major move in idea about by and large relation between feasibility of profits in stock and information in specific market. Specifically, this paper documents this feasibility in Finnish market.

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