FINA 330 - Business & Economic Forcasting

Institution:
Benedictine University
Subject:
Description:
Acquaints students with statistical forecasting methodologies, while placing special emphasis on the underlying assumptions. The emphasis is on time-series methods used for forecasting and includes techniques such as decomposition, smoothing, regression, and ARIMA modeling. (See MBA-613 in the graduate bulletin).
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(630) 829-6000
Regional Accreditation:
North Central Association of Colleges and Schools
Calendar System:
Semester

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