Miquel Noguer is a financial markets practitioner with more than 20 years of experience in asset management. He is the Head of Development at Global AI, a Big Data company focused on AI in Finance. Miquel Noguer is the Founder of Artificial Intelligence Finance Institute and a Co-Editor of the Journal of Machine Learning in Finance. He worked as a Chief Investment Officer for Andbank from 2000 to 2006 and as an Executive Director at UBS AG (Switzerland) for a span of 10 years.
Miquel Noguer has a few academic credentials, namely, Professor at NYU Courant, Big Data in Finance at ESADE and Adjunct Professor at Columbia University. He received an MBA from ESADE in 1993 and a PhD in quantitative finance from UNED (Spain) in 2010.
Deep Reinforcement Learning for Asset Allocation in US Equities
We consider an application of reinforcement learning to create a financial model-free asset allocation paradigm which uses deep neural networks. For an asset universe of top 24 US stocks we show that the deep reinforcement learning approach gives better results than traditional portfolio management approaches. Our method uses a time series of daily data of stock prices and a simple reward function.
Please view the paper here