Developments and Applications in (explainable) ML in Portfolio Management

As Machine Learning algorithms are transitioning from cutting edge to state-of-the-art, a panel of experts in the portfolio management will share some insights into their experience and best practices. A particular focus will be on explainable Machine Learning (XML) in the context of portfolio management. XML refers to the ability of a machine learning model to provide clear and transparent explanations of its predictions and decisions. This is becoming increasingly important as more and more financial institutions are using machine learning algorithms to make investment decisions. The discussion will explore the current state of XML in portfolio management, especially trust in the decision-making process, as well as its limitations.