Financial Mathematics Seminar, Fall 2003

Thurs 3:35 - 4:25 pm, 106 LOV


Aug 28:

Organizational Meeting


Sept 11:

Steve Paris, FSU -- Talk Postponed


Sept 18:

Jim Treanor, FSBA -- joint meeting with proseminar in 303 MCH


Sept 25:

Wenbo Hu, FSU -- Credit Risk


Oct 2:

Benoit Montin, FSU -- An Agent Market Model Using Evolutionary Game Theory

Abstract: Agents participate in a stock market, adopting mixed strategies to maximize their wealth. Replicator dynamics are used as a behavioral rule to model how agents learn and benefit from their experiences. Stochastic equilibria will be theoretically discussed and illustrated through simulations.


Oct 16:

Steve Paris, FSU -- The Pension Actuarial Model


Oct 23:

Steve Paris, FSU -- The Pension Actuarial Model, II


Oct 30:

Wenbo Hu, FSU -- Credit Risk Modeling: the Hazard Process

Abstract: We discuss some valuation formulas involving the Hazard Process, based on an exposition by Rutkowski.


Nov 6:

Mack Galloway, FSU -- Maximum Likelihood Theory and Calibration of Stochastic Models


Nov 13:

Wenbo Hu, FSU -- The Hazard Process, II

Abstract: More on valuation formulas for defaultable claims and an application.


Nov 20:

Mack Galloway, FSU -- Maximum Likelihood Theory and Calibration of Stochastic Models, II


Nov 27:

Thanksgiving holiday -- No meeting


Dec 4:

Kiseop Lee, University of Louisville -- Hedging Claims with Feedback Jumps in the Price Process

Abstract: A traditional model for financial asset prices is a stochastic differential equation, driven by Brownian motion and Lebesgue measure; that is, a standard diffusion. However, such a model is inappropriate because of heavy tail problems and asymmetric distribution. Building on the pioneering work of R.Frey, we consider models where the price process of a risky asset can have jumps following a specific structure, as well as a diffusion component. Such models create interesting problems, since one can no longer use the theory of complete markets, but instead must rely on alternatives, such as the construction of minimal martingale measures. We show how this can be done and how options can be priced in this framework. We go further, however, and consider the case where the jumps of the price process can depend on the process history; there are sound economic reasons for considering such models, and while they lead to further complications in the analysis, they are nevertheless tractable, as we show.




Last modified: Tue Nov 18 16:43:38 EST 2003