Portale di Ateneo - En.Unibs.it

1) Knowledge and understanding: the course has two objectives, that is to learn the main statistical models and methods for the analysis of financial time series and to gain expertises regarding statistical models useful for the prediction of financial risks (for example default, insolvency). Moreover, during the course, the students will learn the open source software R for data analysis.
2) Applying knowledge and understanding: thanks to the use of the open source software R and the gained theoretical knowledges, the student will be able to analyze autonomously financial time series and to apply models for risk prediction to real contexts.
3) Making judgements: at the end of the course, the student must have acquired the capability to analyze and critically interpret the share trends and to identify, depending on the contexts, the main factors that can determine financial risks (for example company default, client insolvency).
4) Communication skills: the student must be able to communicate to different spokesmen the results of the analysis of financial data in an efficient way and with suitable language.
5) Learning skills: the student must have acquired the ability to undertake more complex and deepened studies as autonomously as possible.