Machine Learning: Challenges for Financial Market Predictive Analytics Suggest a Bayesian Solution

Blu Putnam

Chapter 10 in Economics Gone Astray, 2019, pp 121-130 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In the age of Hollywood’s Moneyball, big data, machine learning and artificial intelligence (AI), it seems only natural to apply our new and evolving statistical tools to predicting outcomes in financial markets. Given the difficulties in predicting market behavior, the bar seems low, and open to dreams of making significant improvements in predictive analytics as applied to financial markets…

Keywords: Economics; Macroeconomics; Monetary Policy; Fiscal Policy; Inflation; Risk Management; Federal Reserve; Quantitative Easing; Taylor Rule (search for similar items in EconPapers)
JEL-codes: E02 E44 E52 E6 G32 (search for similar items in EconPapers)
Date: 2019
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