Statistics, Time Series Analysis and Forecasting, Intermediate Course, 7.5 Credits
Time series analysis is used to study and model dependence over time and thereby also how variables evolve over time. How does the price of a stock today depend on yesterday's price, how does the surface level in a lake depend on previous levels and the amount of rain in recent days, how can the interest rate and GDP growth be explained by previous interest rates and growth. The course covers basic time series models including ARIMA, unit roots, multivariate time series models, co-integration and models well suited for financial data. A good understanding of dependence over time and how variables evolve is fundamental when making predictions and producing good forecasts. The use of time series models for forecasting is an important part of the course.
ECTS Credits
7.5 Credits
Level of education
First cycle, has less than 60 credits in first-cycle course/s as entry requirements (G1F)
School
Örebro University School of Business
When is the course offered?
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Prerequisites: Successful completion of at least 12 credits within the course Basic Statistics, 15 credits and 3 credits within the course Data mining and business analytics, 15 credits or
Successful completion of at least 12 credits within the course Basic Statistics, 15 credits and 1,5 credits within the course Regression Analysis, 7,5 credits.Selection: Academic points
Application code: V2343
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Prerequisites: Successful completion of at least 12 credits within the course Basic Statistics, 15 credits and 3 credits within the course Data mining and business analytics, 15 credits or
Successful completion of at least 12 credits within the course Basic Statistics, 15 credits and 1,5 credits within the course Regression Analysis, 7,5 credits.Selection: Academic points
Application code: V2646