- Docente: Giorgio Tassinari
- Credits: 8
- SSD: SECS-S/03
- Language: Italian
- Moduli: Giorgio Tassinari (Modulo 1) Sara Capacci (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
Learning outcomes
The aim of the course is making students able to use quantitative models as a support for management's decisions. More precisissly student is able to make competitive analysis using statistical models, to analyse firm's performances and to forecast sales and market shares
Course contents
1. Evaluation of credit scores/merit
2. Benchmarking
3. Time series analysis and forecast by decompositive method, exponential smoothing and linear regression.
4. Measures of productivity and efficiency.
5. Game theory.
Readings/Bibliography
1. Evaluation of credit scores/merit - Brasini, Freo, Tassinari, Tassinari,Statistica aziendale e analisi di mercato, Il Mulino, cap. . Dispensa sul sito web docente.
2) Benchmarking - Lecture notes on teacher website.
3) Time series analysis -Guarini, Tassinari, Statistica economica, Il Mulino, cap. 3. Dispensa sul sito web del docente.
4) Measurement of productivity and efficiency- Bracalente-Cossignani-Mulas, Statistica aziendale, McGrawHill, Cap. 6.
5) Game theory. Heap Heargraves e Varoufakis, Game Theory. Routledge, Capp. 1 e 2
Teaching methods
Frontal lessons. Exercitations. Team working
Assessment methods
Written exam (2 theoretical questions and an exercise) to be solved in two hours.
Teaching tools
Slides and lecture notes on the teacher's website
cms.stat.unibo.it/tassinari
Office hours
See the website of Giorgio Tassinari
See the website of Sara Capacci