Time Series Analysis and Forecasting
Andrei Volodin (University of Regina)Sep 8, 2026 — Dec 22, 2026
About the course
A graduate-level Econometrics Models (Time Series) class focuses on stationary and non-stationary processes, ARIMA modeling, and forecasting. The curriculum includes estimation techniques, unit root testing, and ARCH/GARCH modeling for volatility, often utilizing R software R for analysis. This course covers materials for Time series/forecasting part of SOA Validation by Educational Experience (VEE)-Applied Statistics.
Registration
This course is available for registration under the Western Dean's Agreement. To register, you must obtain the approval of the course instructor and you must complete the Western Dean's agreement form , using the details below. The completed form should be signed by your home institution department and school of graduate studies, then returned to the host institution of the course.
Enrollment Details
- Course Name
- Econometric Models & Forecasts
- Date
- Sep 8, 2026 — Dec 22, 2026
- Course Number
- STAT 818
- Section Number
- 001
- Section Code
- 32873
Instructor(s)
For help with completing the Western Dean’s agreement form, please contact the graduate student program coordinator at your institution. For more information about the agreement, please see the Western Dean's Agreement website
Other Course Details
Class Schedule
- Tuesday and Thursday 10:00am – 11:15am (Saskatchewan Time)
Office Hours
- Wednesday 1pm-3pm or by an appointment
Remote Access
This will be a hybrid course delivered by Zoom. The instructor will share the existing electronic presentation and will use a laptop (or tablet), which can be shared electronically for some special notes during lectures.
Availability
This course may be open to students from universities outside of the PIMS network, and those coming from industry/government.
Grading
Your final grade will be calculated as follows:
- Assignments: Not to hand in, just for you to prepare for the Midterm and Final Exam. I will post both the questions and solutions on URCourses.
- Midterm (1): 40% in class
- Final Exam: 60%