In the last five years, the financial industry has been impacted by the emergence of digitalization and machine learning. In this article, we explore two methods that have undergone rapid development in recent years: Gaussian processes and Bayesian optimization. Gaussian processes can be seen as...

Fitting simultaneously SPX and VIX smiles is known to be one of the most challenging problems in volatility modeling. A long-standing conjecture due to Julien Guyon is that it may not be possible to calibrate jointly these two quantities with a model with continuous sample-paths. We present the...

This paper proposes a comprehensive climate stress testing approach to measure the impact of transition risk on investment portfolios. Unlike most climate stress testing models, which are designed for the banking industry and follow a top-down approach, our framework considers a bottom-up...