In this interactive webinar, Dr Svetlana Borovkova discussed several use cases where Machine Learning techniques, augmented with news and social media sentiment, were successfully applied to trading and investment. These cases ranged from intraday stock and index trading to more long-term sector rotation strategies. Dr Borovkova outlined the main data-related challenges and discussed what are the decisive factors in making ML applications successful.
Dr Svetlana Borovkova is an Associate Professor of Quantitative Finance in Vrije Universiteit Amsterdam and Head of Quantitative Modelling in risk advisory firm Probability & Partners. She is renowned for her work in, among others, sentiment analysis in finance, commodity market modelling and systemic risk. Dr Borovkova has over 50 scientific and professional publications in quant finance and risk management. She is a frequent speaker at a major industry events such as Risk Minds and Quant Minds.
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