Breaking into quantitative finance requires a solid mix of technical knowledge and analytical skills. Aspiring quants face ...

A new academic paper, Machine Learning for Trading, is the first conclusive study that shows success in having a machine learning-based trading strategy. The author, Gordon Ritter, Adjunct Professor ...

Market manipulation is an old issue. People try to make money off unsuspecting investors by artificially influencing the price of a stock. But what about when the one manipulating markets isn't human?

AI is not merely a tool, but a catalyst for change setting new standards and expectations. Amidst this transformation, the need to stay agile is paramount, writes RBC Capital Markets’ European head of ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...

The various cutting-edge technologies that are under the umbrella of artificial intelligence are getting a lot of attention lately. As the amount of data we generate continues to grow to mind-boggling ...