Statistical Models and Methods for Financial Data

3 credits · Graduate credit

This course will cover statistical models and methods relevant to the analysis of financial data. Topics covered will include modeling and estimation of heavy-tailed distributions, modeling and inference with multivariate copulas, linear and non-linear time series analysis, and statistical portfolio modeling. Applications from finance will be used to illustrate the methods.