One World Optimal Stopping and Related Topics
Online seminars
Schedule for Summer 2021
June 2, 2021, 5 pm London time (GMT+1)
Paavo Salminen, Åbo Akademi University
Title: Optimal stopping of diffusion spiders
Abstract: see the attached file here.
June 16, 2021, 5 pm London time (GMT+1)
Athena Picarelli, University of Verona
Title: Optimal management of pumped hydroelectric production with state constrained optimal control
Abstract: We present a novel technique to solve the problem of managing optimally a pumped hydroelectric storage system. This technique relies on representing the system as a stochastic optimal control problem with state constraints, these latter corresponding to the finite volume of the reservoirs. Following the recent level-set approach presented in O. Bokanowski, A. Picarelli, H. Zidani, State-constrained stochastic optimal control problems via reachability approach, SIAM J. Control and Optim. 54 (5) (2016), we transform the original constrained problem in an auxiliary unconstrained one in augmented state and control spaces, obtained by introducing an exact penalization of the original state constraints. The latter problem is fully treatable by classical dynamic programming arguments.
June 30, 2021, 5 pm London time (GMT+1)
PhD Students Workshop
Speakers: Gokce Dayanikli (Princeton), Marcos Leutscher (ENSAE-CREST), Yuqiong Wang (Uppsala), Cheng Cai (Leeds)
Schedule, Titles and Abstracts: see in the attached file.
July 14, 2021, 5 pm London time (GMT+1)
Erhan Bayraktar, University of Michigan
Title: Equilibrium concepts for time-inconsistent stopping problems in continuous time
Abstract: A new notion of equilibrium, which we call strong equilibrium, is introduced for time-inconsistent stopping problems in continuous time. Compared to the existing notions introduced in Huang and Nguyen-Huu (2018) and Christensen and Lindensjö (2018), which in this paper are called mild equilibrium and weak equilibrium, respectively, a strong equilibrium captures the idea of subgame perfect Nash equilibrium more accurately. When the state process is a continuous-time Markov chain and the discount function is log subadditive, we show that an optimal mild equilibrium is always a strong equilibrium. Moreover, we provide a new iteration method that can directly construct an optimal mild equilibrium and thus also prove its existence.