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B2216 - DECISIONS AND INVESTMENTS

Academic Year 2026/2027

                
                        Docente:
                        Umberto Cherubini
                    
                        Credits:
                        6
                    
                        SSD:
                        ECON-01/A
                    
                        Language:
                        English
                    
                        Moduli:
                        
                            Umberto Cherubini
                            (Modulo 1)
                        
                            Filippo Massari
                            (Modulo 2)
                        
                        Teaching Mode:
                        
                                    In-person learning (entirely or partially) (Modulo 1); 
                                
                                    In-person learning (entirely or partially) (Modulo 2)
                                
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Quantitative Finance (cod. 6692)

                                Also valid for
                                
                                    Second cycle degree programme (LM) in
                                    
                                        Applied Economics and Markets (cod. 6756)
                                    
                                        Course Timetable
                                    
from Nov 12, 2026 to Nov 26, 2026

                                        Course Timetable
                                    
from Nov 27, 2026 to Dec 11, 2026

Learning outcomes

At the end of the course, the student can use, derive, and understand the logic of rational decision theory (e.g., Expected Utility, Bayes' rule) and the main insight from Gambling Theory. Students will be able to understand the implications of the law of large numbers applied to repeated investment decisions in non-ergodic systems such as the stock market.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Umberto Cherubini

See the website of Filippo Massari