Regression and Forecasting Methods in Finance
University of Waterloo · ON · STAT373
Regression and Forecasting Methods in Finance is a subject at University of Waterloo, ON in STAT. It covers topics like econometrics, financial-mathematics, predictive-analytics, risk-modelling. It is part of 8 degrees. The information below is compiled from public course material — approximate, not official.
University of Waterloo
STAT373
3.00
STAT
Topics covered
Degrees that include Regression and Forecasting Methods in Finance
- Actuarial Science (Bachelor of Mathematics - Honours)
- Biostatistics (Bachelor of Mathematics - Honours)
- Business Specialization
- Computing and Financial Management (Bachelor of Computing and Financial Management - Honours)
- Data Science (Bachelor of Mathematics - Honours)
- Statistics (Bachelor of Mathematics - Honours)
- Statistics (Joint Honours)
- Statistics Minor
Frequently asked questions
What is Regression and Forecasting Methods in Finance about?
Regression and Forecasting Methods in Finance covers topics like econometrics, financial-mathematics, predictive-analytics, risk-modelling.
Which degrees include Regression and Forecasting Methods in Finance?
Regression and Forecasting Methods in Finance is part of 8 degrees, including Actuarial Science (Bachelor of Mathematics - Honours), Biostatistics (Bachelor of Mathematics - Honours), Business Specialization, Computing and Financial Management (Bachelor of Computing and Financial Management - Honours), Data Science (Bachelor of Mathematics - Honours).
How many credit points is Regression and Forecasting Methods in Finance?
Regression and Forecasting Methods in Finance at University of Waterloo is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Regression and Forecasting Methods in Finance taught?
Regression and Forecasting Methods in Finance is taught at University of Waterloo, ON.
Studying Regression and Forecasting Methods in Finance?
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Sources: University of Waterloo public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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