An Impact Measure for News: Its Use in Daily Trading Strategies
25 Pages Posted: 12 Dec 2015
Date Written: December 10, 2015
We investigate how ‘news sentiment’ in general and the ‘impact of news’ in particular can be utilised in designing equity trading strategies. News is an event that moves the market in a small way or a big way. We have introduced a derived measure of news impact score which takes into consideration news flow and decay of sentiment. Since asset behaviour is characterised by return, volatility and liquidity we first consider a predictive analytic model in which market data and impact scores are the inputs and also the independent variables of the model. We finally describe the trading strategies which take into consideration the three important characteristics of an asset, namely, return, volatility and liquidity. The minute-bar market data as well as intraday news sentiment metadata have been provided by Thomson Reuters.
Keywords: news sentiment, news impact, efficient market hypothesis daily trading, predictive analytics, asset returns, volatility of assets, liquidity of assets, GARCH model, bid-ask spread, news metadata, market data, volatility pumping, Kelly strategy
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