Portfolio construction and systematic trading with factor entropy pooling

Construction of large portfolios consistent with investors’ views and stress test scenarios is a challenging task, considering the volume of information to be processed. Attilio Meucci, David Ardia and Marcello Colasante introduce a technique that significantly reduces the effort needed and can account for more flexible views compared with existing methods

Processing trading signals or views on the market to compute an optimal allocation is one of the main challenges in quantitative portfolio construction. Similarly, embedding stress tests in a risk model in a statistically sound way is key to a healthy risk management process. The generalised Bayesian approach known as entropy pooling, which is laid out in full generality in Meucci (2008), is a flexible framework for processing views and embedding generalised stress tests. The inputs to entropy