Speaker: Prof. Andrey Itkin, Department of Finance and Risk Engineering, Tandon School of Engineering, NYU Abstract: The Marketron model, introduced by , describes price formation in inelastic markets as the nonlinear diffusion of a quasiparticle (the marketron) in a multidimensional space comprising the log-price x, a memory variable y encoding past money flows, and unobservable […]
Speaker: Prof. Pierpaolo Uberti, Department of Statistics and Quantitative Methods, University of Milano-Bicocca Abstract:> Given a reference risk measure, risk budgeting defines a portfolio in which each asset contributes a predetermined amount to the total risk. We propose a novel approach—alternative to those proposed in the literature—for the computation of the risk budgeting portfolio. We […]
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 […]
Speaker: Dr. Kirill Golubnichiy, Department of Mathematics & Statistics, Texas Tech University Abstract: A new mathematical model describing the evolution of a corrupted hierarchy is derived. This model is based on mean field games theory. We consider a retrospective (inverse) problem for this model. From an applied standpoint, this problem amounts to reconstructing the past […]
Speaker: Dr. Kakeru Ito, Senior Portfolio Manager (Multi-Asset / Quants), Mizuho Securities Co., Ltd. and Visiting Researcher, Graduate School of Management, Tokyo Metropolitan University Abstract: This study proposes AC dynamic skew-𝑡 copula with cDCC model to capture the dynamic asymmetric tail dependence structure among multi-asset classes (government bonds, corporate bonds, equities, and REITs). We provide […]
Speaker: Prof. Karen Grigorian, Department of Statistics and Applied Probability, UC Santa Barbara Abstract: We apply the theory of McKean-Vlasov-type SDEs to study several problems related to market efficiency in the context of partial information and partially observable financial markets: (i) convergence of reduced-information market price processes to the true price process under an increasing […]
Speaker: Peter Tankov, ENSAE ParisTech Abstract: We develop a mean-field game framework to study carbon pricing in a multi-sector economy with defaultable firms. In each sector, firms produce a homogeneous good and choose inputs—labor, emissions, and intermediate goods—while taking endogenous prices as given and optimally deciding default timing. The economy is modeled as a system […]
