Machine Learning in Asset Pricing - (Princeton Lectures in Finance) by Stefan Nagel (Hardcover)

Machine Learning in Asset Pricing is a groundbreaking book that explores the exciting possibilities of using cutting-edge machine learning methods in research on financial asset valuation.

Written by Stefan Nagel, a renowned finance professor and expert in the field, this book provides an authoritative introduction to how machine learning can be applied to asset pricing.

With its unique blend of theoretical insights and practical applications, Machine Learning in Asset Pricing is an essential resource for academics, researchers, and practitioners in the finance industry.

The book offers a comprehensive overview of basic supervised machine learning methods and their application in empirical research in asset pricing, highlighting the potential of these techniques to advance the theoretical modeling of financial markets.

Whether you're a seasoned professional or just starting out in the field, Machine Learning in Asset Pricing is a must-read for anyone looking to stay ahead of the curve in the rapidly evolving world of finance and machine learning.