Chapter 1: Beyond the Surface: In-depth Perspectives on Liquidity and Risk Frontiers -- Chapter 2: Unlocking the Microstructure of Liquidity Risk: Understanding Interactions with other Financial Risks and Best Practices in Oversight and Governance -- Chapter 3: Crises to Opportunities:...

This paper provides a review on machine learning methods applied to the asset management discipline. Firstly, we describe the theoretical background of both machine learning and finance that will be needed to understand the reviewed methods. Next, the main datasets and sources of data are...

We apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...