The University of Texas at Austin 3 credits Statistics
Examine statistical forecasting methods used in business. Discuss Box-Jenkins models; exponential smoothing models; ARCH/GARCH models for varying volatility in financial returns; seasonal adjustment of time series; tests for nonstationary of time series; and modeling multiple time series. Only one of the following may be counted: Business Analytics 372 (Topic 21), 372T (Topic 21), Operations Management 372T (Topic: Time Series Forecasting), 372T (Topic 21), Statistics 372 (Topic 9), 372T (Topic 21). Pre/Corequisites: Statistics 235, 235H, Statistics and Data Sciences 358, Economics 341K, or other course with basic knowledge about regression.
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