Fall 2024 Mathematics GR5400 section 001

NON-LINEAR OPTION PRICING

Call Number 11891
Day & Time
Location
F 6:00pm-8:10pm
520 Mathematics Building
Points 3
Grading Mode Standard
Approvals Required None
Instructors Julien Guyon
Bryan Liang
Type LECTURE
Method of Instruction In-Person
Course Description Prerequisites: familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Prerequisites: Familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Nonlinear Option Pricing is a major and popular theme of research today in quantitative finance, covering a wide variety of topics such as American option pricing, uncertain volatility, uncertain mortality, different rates for borrowing and lending, calibration of models to market smiles, credit valuation adjustment (CVA), transaction costs, illiquid markets, super-replication under delta and gamma constraints, etc. The objective of this course is twofold: (1) introduce some nonlinear aspects of quantitative finance, and (2) present and compare various numerical methods for solving high-dimensional nonlinear problems arising in option pricing.
Web Site Vergil
Department Mathematics
Enrollment 19 students (40 max) as of 12:05PM Sunday, December 8, 2024
Subject Mathematics
Number GR5400
Section 001
Division Graduate School of Arts and Sciences
Note Priority to MAFN Students. Open to Stats 9/9 and Univ. 9/11
Section key 20243MATH5400G001