FIN 335 - Forecasting Methods

(3 credits)

A study of the techniques and processes used in business forecasting. Primary emphasis is on univariate time series. Techniques studied include simple smoothing methods, decomposition methods, and Box-Jenkins ARIMA method and regression, Prerequisites: Admission to the College of Business, MATH 140 - Applied Calculus or MATH 212 - Calculus I, and ◆ ECON 222 - Statistics for Business and Economics or STAT 210 - Statistics, or instructor permission. Students are strongly advised to take intermediate statistics before taking this course. Grade only. Offered annually (usually spring semester).

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