AIR-Q Presentation Guillaume Coqueret on Machine Learning for Factor Investing
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He holds a Master degrees in Finance from University of Paris I, Master of Science in Management from ESSEC Business School and a Master in Probability and Finance from Pierre and Marie Curie University. He completed his education with a Ph.D at ESSEC Business School in Finance and Applied Mathematics.
Guillaume research has been published by many journals (Journal of Banking and Finance, Annals of Operations Research, Journal of Portfolio Management, Quantitative Finance, Journal of Mathematical Economics, European Journal of Operational Research). In 2020, he co-wrote “Machine Learning for Factor Investing” (CRC/Chapman Hall).
He is an advisory board member for the Journal of Machine Learning in Finance.
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