Speaker: Prof. Igor Cialenco, Dept. of Applied Mathematics, Illinois Institute of Technology Abstract: We develop a statistical framework for risk estimation, inspired by the axiomatic theory of risk measures. Coherent risk estimators—functionals of P&L samples inheriting the economic properties of risk measures—are defined and characterized through robust representations linked to L-estimators. The framework provides a […]

Speaker: Prof. Davide Lauria, Department of Management, University of Bergamo Abstract: The ESG score of a company is a measure of its commitment to environmental, social and governance investing standards. ESG scores are produced by rating agencies using unique and proprietary methodologies. The complexity of measurement and the lack of widely accepted standards contribute to […]

Speaker: Prof. Ralf Wunderlich, Institute of Mathematics, Brandenburg University of Technology Cottbus-Sentenberg, Germany Abstract: This paper investigates the optimal selection of portfolios for power utility maximizing investors in a financial market where stock returns depend on a hidden Gaussian mean reverting drift process. Information on the drift is obtained from returns and expert opinions in […]

Speaker: Professor Antonis Papapantoleon, Delft Institute of Applied Mathematics, EEMCS, Delft University of Technology Abstract: We develop a novel deep learning approach for pricing European options in diffusion models, that can efficiently handle high-dimensional problems resulting from Markovian approximations of rough volatility models. The option pricing partial differential equation is reformulated as an energy minimization […]

Speaker: Dr. Jean-Loup Dupret, Department of Mathematics, ETH Zurich Abstract: We present ABIDES-MARL, a framework that combines a new multi-agent reinforcement learning (MARL) methodology with a new realistic limit-order-book (LOB) simulation system to study equilibrium behavior in complex financial market games. The system extends ABIDES-Gym by decoupling state collection from kernel interruption, enabling synchronized learning […]