Quantitative Asset Management and Machine Learning for Institutional Investing

Using examples from his courses at Columbia University and his book, Quantitative Asset Management, Michael Robbins applies machine learning and factor investing to asset allocation. He demonstrates how leading institutions manage multibillion-dollar portfolios and includes real-world details like currency controls, market impact, and taxes. Learn about the entire investing process, from designing goals to planning, research, implementation, testing, and management.