THE UNIVERSITY OF MANITOBA 
STAT 3490 - Time Series Analysis 
Final Examination Guide and Notes 2024 
 
Part 01. Revision Notes 
Part 02. Sample Final Examination Paper 
Part 03. Suggested Solutions to Final Exam Paper 
Part 04. Final Examination - Hints and Tips 
 
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University of Manitoba

University of Manitoba - STAT 3490: Time Series Analysis (Solutions)

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ACADEMIC YEAR 2023 - 2024

University	University of Manitoba
Study Level	Undergraduate
Course Code	STAT 3490
Course Name	Time Series Analysis
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	71

This authentic examination guide provides students with an excellent opportunity to familiarize themselves with the content and format of the updated final examination for STAT 3490 - Time Series Analysis at the University of Manitoba in 2024. It also offers a chance to practise useful exam techniques. The guide focuses on core exam questions and includes clear, simple diagrams that facilitate understanding and recall during the real exam. Thoroughly updated, this self-study set covers all topics included in the latest edition of the module, ensuring students are fully prepared to tackle the final examination with confidence.

The University of Manitoba's STAT 3490: Time Series Analysis is a comprehensive course that delves into the theory and application of time series techniques. The course covers a range of topics including: Regression Models and Exponential Smoothing in Forecasting, Stationary and Non-Stationary Time Series Models, ARIMA Models Forecasting including Model Identification and Parameter Estimation, Seasonal Time Series Models, and Financial Risk Forecasting and Applications.

✔ By the end of this course, you should be able to:

Apply regression models and exponential smoothing techniques to forecast future values of time series data.
Distinguish between stationary and non-stationary time series and choose appropriate forecasting models for each.
Develop and implement ARIMA models for forecasting, including identifying the correct model structure and estimating its parameters.
Account for seasonality in time series data by applying seasonal forecasting models.
Utilize forecasting techniques to assess and manage financial risks in various applications.

COURSE CODE	COURSE NAME
ACC 1100	Introductory Financial Accounting
ACC 2010	Intermediate Accounting – Assets
ACC 2020	Intermediate Accounting – Equities
ACC 3040	Cost Accounting
ACC 4030	Accounting Theory
ECON 1010	Introduction to Microeconomic Principles
ECON 1020	Introduction to Macroeconomic Principles
ECON 2010	Microeconomic Theory 1
ECON 2040	Quantitative Methods in Economics
ECON 3040	Introduction to Econometrics
ECON 4490	Macroeconometrics for Policy Analysis
FIN 2200	Corporate Finance
FIN 3410	Investments
FIN 3460	Financial Markets and Institutions
FIN 3480	Corporate Finance Theory and Practice
FIN 4270	Options and Futures
GMGT 2070	Organizational Behaviour
LAW1102	Contracts
MKT 2210	Fundamentals of Marketing
STAT 1000	Basic Statistical Analysis 1
STAT 3490	Time Series Analysis

University of Manitoba - STAT 3490: Time Series Analysis (Solutions)

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