Finance and insurance

The course aims at showing, both from a graphical point of view and from a methodological one, the main tools for analyzing economic and financial time series. Students will also learn to use to the statistical software R as a tool for applying statistical methodologies to real data, as well as for understanding the theory behind a model. Students who pass the exam will know the main concepts and procedures for model building when analyzing economic and financial time series. Students who pass the exam will have skills for data analysis: on the basis of the methodologies introduced in the course and of the knowledge of the R software tools, they will be able to choose the best model to represent real economic and financial phenomena. Starting from real data they will be able to find the best strategy to represent data. They will also be able to analyze in a critical way the obtained results, highlighting pros and cons of the chosen procedures. Students’ skills are stimulated by tackling real case studies and developing a research project which will be discussed in class. The evaluation of the report will also concern students’ communication skills and their ability to explain what they learned and the results of the quantitative analysis. The deep comprehension of the learned methodologies, will allow the student to understand more general models not explained in the course, evaluating advantages and disadvantages.