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2025-26 Fall - MATH4515 - Statistical and Computational Methods in Financial Mathematics

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Chi Man LEUNG
This course covers statistical and computational methods that are essential in financial data analysis, financial modeling, portfolio management and derivatives pricing. These tools are commonly used in quantitative financial models. Topics include: parametric models and parameter estimation, model fitting, multivariate analysis, linear regression, principal component analysis, bootstrapping method, Monto Carlo simulation methods and lattice tree algorithms. The students learn how to execute the tasks using computer software such as RStudio and Matlab.
Course period1/09/2531/12/25
Course levelUG
Course formatLecture