Spring 2023 Statistics GU4265 section 001

STOCHASTIC METHODS IN FINANCE

STOCHASTIC METHODS IN FIN

Call Number 14262
Day & Time
Location
TR 6:10pm-7:25pm
417 International Affairs Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Gokce Dayanikli
Type LECTURE
Method of Instruction In-Person
Course Description Prerequisites: STAT GU4264. Mathematical theory and probabilistic tools for modeling and analyzing security markets are developed. Pricing options in complete and incomplete markets, equivalent martingale measures, utility maximization, term structure of interest rates. This is a core course in the MS program in mathematical finance.
Web Site Vergil
Department Statistics
Enrollment 10 students (25 max) as of 12:06PM Friday, April 26, 2024
Subject Statistics
Number GU4265
Section 001
Division Graduate School of Arts and Sciences
Open To Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, Professional Studies
Campus Morningside
Section key 20231STAT4265G001