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Dr. Indranil SenGupta, North Dakota State University, A machine learning based improvement of the Barndorff-Nielsen and Shephard model: analysis of crude oil price

A commonly used stochastic model for the derivative and commodity market analysis is the Barndorff-Nielsen and Shephard (BN-S) model. At first, an application of the BN-S model will be presented to find an optimal hedging strategy for the oil commodity from the Bakken, a new region of oil extraction that is benefiting from fracking technology.…

Jean-Pierre Fouque, University of California Santa Barbara, Stochastic Games with Delay: a Toy Model

Park Shops 200

Motivated by modeling borrowing and lending between banks, we start by illustrating systemic risk with a toy model of diffusions processes coupled through their drifts. We then show that such a simplistic model is in fact a Nash equilibrium of a Linear-Quadratic differential game. In order to take into account clearing debt obligations a delay…

Financial Mathematics Seminar: Jean-Perre Fouque, University of California, Santa Barbara, Reinforcement Learning Algorithm for Mixed Mean Field Control Games

Park Shops 200

We present a new combined Mean Field Control Game (MFCG) problem which can be interpreted as a competitive game between collaborating groups and its solution as a Nash equilibrium between the groups. Within each group the players coordinate their strategies. An example of such a situation is a modification of the classical trader's problem. Groups…

Financial Mathematics Seminar: Lorenzo Schoenleber, Collegio Carlo Alberto University of Turin, Maneuvering and Investing in Yield Farms

SAS 4201

This article is about yield farming, which refers to a decentralized finance strategy of providing liquidity and seeking associated rewards in the form of transpired-transaction fees. We explain and demystify yield farming and quantify transaction costs, returns, and risks using on-chain data from major decentralized exchanges. We provide a mathematical framework that resembles a representative…