IEU504 Financial and Economics Information Analysis Methods

Code IEU504
Name Financial and Economics Information Analysis Methods
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Professional
Field of study Economics
Faculty
Academic staff Jūlija Bistrova, Konstantins Kozlovskis
Credit points 2.0 (3.0 ECTS)
Parts 1
Annotation The course covers widely used methods of financial and economics information analysis: visual data analysis, factor analysis, cluster analysis, discriminant analysis, mean comparison (ANOVA, ANCOVA, MANOVA, MANCOVA) and panel regression analysis. Considered methods of financial and economics information analysis are examined in the widely used data analysis software "R"..
Goals and objectives
of the course in terms
of competences and skills
The main goal of the course is to teach a student to process and analyze financial and economics information using different methods of data analysis in the widely used software "R". The tasks of the course are: • to develop theoretical knowledge in methods of financial and economics information analysis and to highlight their advantages and disadvantages; • to develop skills in applying methods of information analysis solving actual problems in real life in the context of financial and economic data analysis; • to teach to work with data analysis software "R"; • to teach to find and apply "R" packages with other data analysis methods to analyze financial and economics information; • to develop skills in preparing reports on data analysis.
Learning outcomes
and assessment
Able to visualize data and make simple analysis. - Assignment. Test.
Able to perform factor analysis. - Assignment. Test.
Able to classify data using discriminant analysis. - Assignment. Test.
Able to group data using cluster analysis. - Assignment. Test.
Able to compare grouped data. - Assignment. Test.
Able to use panel regression. - Assignment. Test.
Able to implement obtained theoretical knowledge and practical skills to solve complex tasks. - exam.
Course prerequisites The course is based on knowledge obtained in informatics, mathematics and/or economic statistics.

[Extended course information PDF]