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Apr 23, 2026
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BAN 275 - Predictive Analytics in Time Series Time
Semester Hours: 3
Once a Year
This course provides the student with a thorough understanding of financial econometrics. Theoretical foundations of financial time series and their implications for testing and modeling are discussed. Econometrics models and tests and their applications to sample financial data are covered. Students will gain working knowledge of at least one industry standard statistical package.
Prerequisite(s)/Course Notes:
BAN 203 or MATH 072 or approved equivalent, MATH 135A or approved equivalent, MATH 138 or approved equivalent. Open only to matriculated graduate students in the Frank G. Zarb School of Business and in other Schools at Hofstra where appropriate. See specific program requirements. Same as FIN 275 .
View Course Offering(s):
Summer Session I 2026
Summer Session II 2026
Summer Session III 2026
Fall 2026
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