New York University 3 credits Finance and Risk Engineering
This course focuses on quantitative methods and financial modeling. Probability theory, stochastic processes and optimization are studied and applied to a broad variety of financial problems and their derivatives. Topics include probability spaces; conditional probability; densities; distributions; density estimators; multivariate probability; moment-generating functions; random walks; Markov processes; Poisson processes; and the Brownian-motion process. | Prerequisite: Students are expected to know calculus and elementary probability and Matriculation into a master or doctoral program Prerequisites: Graduate Standing.
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