During the Data Analytics conference held on 14 April 2016, in London, Tilman Sayer from OptiRisk Systems shed light on the topic ‘ Combining sentiment data and market data to enhance financial analytics applications.’
He talked about how sentiment data can impact daily trading strategies and has the power to enhance financial mathematical models for trading purposes according to his joint work with Cristiano Arbex-Valle, Gautam Mitra & Xiang Yu. He briefly explained how we create the news impact scores. The impact is used to enhance volatility (and liquidity) prediction while the SSD reduces negative risk and increases positive potential. He further discussed how the combined effect of volatility and SSD leads to enhance dynamic trading strategies.
To know more about this presentation and Sentiment Analysis in Finance, follow OptiRisk systems on LinkedIn.