MSc in Economics and Finance - Applied Economics and Finance
Time Series for Economics, Business and Finance
About the course
What you will learn
- Understand the theoretical foundations and assumptions behind time series models.
- Interpret and communicate the results obtained from time series models, including parameter estimates, significance tests, and forecast intervals (see Nordic Nine #6: You are critical when thinking and constructive when collaborating).
- Clearly articulate the implications of the analysis for decision-making in business, economics, or finance.
- Demonstrate the ability to preprocess time series data by handling missing values, outliers, and irregularities
- Apply techniques for data cleaning and normalization to ensure the quality of the dataset
- Utilize R programming language for various tasks in time series analysis, including data manipulation, model fitting, and visualization (see Nordic Nine #2: You are analytical with data and curious about ambiguity).
- Work on practical projects that involve applying time series analysis techniques to real-world economic, business, or financial datasets (see Nordic Nine #4: You are competitive in business and compassionate in society).
- Identify common challenges in time series analysis, such as seasonality, non-stationarity, and autocorrelation
- Discuss techniques for addressing these challenges, including differencing, detrending, and model selection. (see Nordic Nice #3: You recognize humanity’s challenges and have the entrepreneurial knowledge to help resolve them)
- Generate informative visualizations, such as time plots, seasonal decomposition plots, and autocorrelation plots
- Interpret visualizations to extract meaningful patterns and trends in the time series data.