Book - Big Data and Machine Learning in Quantitative Investment - Tony Guida Dec 19 2019 16:31 languageMoneyScience
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About the Book
Machine learning continues to advance in more sophisticated ways in order to analyse aspects of life big data can record, from our physical well-being to our spending habits and driving behaviour. However, financial markets are a different kind of animal altogether, and while they may seem data rich, their complexity is extremely hard to be understood by algorithms alone. Big Data and Machine Learning in Quantitative Investment gives you a seat at the practitioners' table to discuss why and how machine learning is most effectively used in finance.
Senior quant Tony Guida assembled this all-star team of authors coming from buy-side, sell-side and quantitative research. His goal was to create a fresh, multidimensional resource of proven best practices for tactfully optimizing the benefits of machine learning in quantitative investing.
Algorithms don't understand market laws better than you do, but inside, you'll see precisely where and how they can empower you.
About the Author
TONY GUIDA is a senior investment manager in quantitative equity at the investment manager of a major UK pension fund in London, where he manages multifactor systematic equity portfolios. During his career, he held such positions as senior consultant for smart beta and risk allocation at EDHEC RISK Scientific Beta and senior research analyst at UNIGESTION. He is a former member of the research and investment committee for Minimum Variance Strategies, where he led the factor investing research group for institutional clients, and a regular speaker at quant conferences. Tony is chair of machineByte ThinkTank EMEA.