Non-Linear Option Pricing
6:00pm–8:10pm
MATHEMATICS BUILDING MAT 520
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
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.
Reviews
Course experience
Aggregated across everyone who has taught this course.
No reviews matched yet.
Instructor quality
Aggregated across every course Julien Guyon has taught.
No reviews matched yet.
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
From CULPA and Reddit reviews matched to this course.
No reviews matched yet.