Financial Engineering: Derivatives, Operator Methods and GPU Computing
January 12-14, 2009
Courant Institute, Room 109, 251 Mercer Street, New York, NY 10012
The workshop provides a comprehensive introduction to derivative pricing and GPU computing emphasizing model agnostic system design. Topics covered include:
- Valuation, calibration, and risk management of exotic derivatives
- Operator methods for derivative pricing
- System design with multi-GPU equipment
- Interest rate, FX, credit and hybrid derivatives
The workshop runs over 3 days from 8:30 am to 5 pm - the third day being dedicated to GPU computing with several different guest lecturers (to be announced). The first day presents the mathematical background and illustrates theory with some examples. The second day focuses on model building with emphasis on interest rate exotics, FX derivatives, credit and hybrid derivatives. The third day is dedicated to GPU-based quantitative financial modeling. In addition to a technical overview of GPU hardware and CUDA computing architecture, industry veterans will discuss several real-world cases where GPUs are enhancing financial modeling.
Audience
Buy-side practitioners (portfolio managers and risk managers), sell-side practitioners (traders, financial engineers, quantitative analysts, research teams), and academics will deepen and broaden their understanding of the recipes they implement everyday and will learn the most cutting-edge techniques.
Prerequisites for the first two days are undergraduate linear algebra, probability theory and some knowledge of mathematical finance at the level of a first term in an M.S. program. The third day assumes good programming skills.
Registration
Register at www.cims.nyu.edu/~mathfcon
For questions or inquiries, send e-mail to mathfcon@cims.nyu.edu