Mathematical Finance

Department of Mathematics and Statistics

Texas Tech University

  Spring 2026

the Mathematical Finance Semester Seminar Schedule

imageFriday
Jan. 30

2 PM
online
Lambda Value-at-Risk under ambiguity and risk sharing
Alexander Schied
Department of Statistics and Actuarial Science, University of Waterloo
imageFriday
Feb. 6

2 PM
online
Marketron Through the Looking Glass: From Equity Dynamics to Option Pricing in Incomplete Markets
Andrey Itkin
Finance and Risk Engineering, Tandon School of Engineering
imageFriday
Feb. 20

NOON
online
Some general results on risk budgeting portfolios
Pierpaolo Uberti
Statistics and Quantitavive Methods, University of Milano-Bicocca
imageFriday
Feb. 27

2 PM
online
Coherent estimation of risk measures
Igor Cialenco
Applied Mathematics, Illinois Institute of Technology
imageFriday
Mar. 6

2 PM
online
Mean-CVaR portfolio optimization under ESG disagreement
Davide Lauria
Department of Management, University Bergamo
imageFriday
Mar. 13

2 PM
online
Portfolio optimization in a market with hidden Gaussian drift and expert opinions
Ralf Wunderlich
Institute of Mathematics, Brandenburg University of Technology Cottbus-Sentenberg, Germany
imageFriday
Mar. 27

NOON
online
A time-stepping deep gradient flow method for option pricing in (rough) diffusion models
Antonis Papapantoleon
Delft Institute of Applied Mathematics, Delft University of Technology
imageFriday
Apr. 3

NOON
online
ABIDES-MARL: A Multi-Agent Reinforcement Learning Environment for Endogenous Price Formation and Execution in a Limit Order Book
Jean-Loup Dupret
Mathematics, ETH Zürich
imageFriday
Apr. 17

2 PM
online
Corruption via Mean Field Games
Kirill Golubnichiy
Mathematics and Statistics, Texas Tech University
imageFriday
Apr. 24

9 AM
online
Dynamic asymmetric tail dependence structure among multi-asset classes for portfolio management: Dynamic skew-t copula approach
Kakeru Ito
Lead Portfolio Manager, Goldman Sachs Asset Management
imageFriday
May 1

2 PM
online
Differential Beliefs in Financial Markets Under Information Constraints: A Modeling Perspective
Karen Grigorian
Department of Statistics and Applied Probability, UC Santa Barbara