First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Economics and Political Science
Course unit
ECN1034687, A.A. 2016/17

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
EC0222, Degree course structure A.Y. 2011/12, A.Y. 2016/17
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Number of ECTS credits allocated 8.0
Type of assessment Mark
Department of reference Department of Economics and Management
E-Learning website
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit CANNOT be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge ALESSANDRA BURATTO SECS-S/06
Other lecturers MAURO BERNARDI SECS-S/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses SECS-S/01 Statistics 4.0
Core courses SECS-S/06 Mathematics for Economics, Actuarial Studies and Finance 4.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 8.0 56 144.0 No turn

Start of activities 27/02/2017
End of activities 09/06/2017
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Board From To Members of the board
3 Commissione AA 2016/17 01/10/2016 30/09/2017 BURATTO ALESSANDRA (Presidente)
CAPPUCCIO NUNZIO (Membro Effettivo)
GRASSELLI MARTINO (Membro Effettivo)
GROSSET LUCA (Membro Effettivo)

Prerequisites: Functions with several variables
Differential calculus
Basic descriptive and inferential statistics
Knowledge of software Excel
Target skills and knowledge: The course consists in two parts: the first one is about mathematical models, while the second part is about statistical models. Both will address issues in management and in finance.

Mathematical models
The course presents some models for financial markets, focusing on risk analysis and option pricing. Derivatives such as plain vanilla options are priced using binomial trees. Furthermore, some practical management problems are tackled and solved using the linear programming theory and Excel.
Statistical models
A first objective of the course is to study some basic statistical models useful in management and in finance for forecasting. The second objective is to introduce some statistical tools to evaluate the risk in financial investments.
Examination methods: Written exam
Assessment criteria: The evaluation will be based on the knowledge of the topics covered during the lessons
Course unit contents: Mathematical models: decision theory; options; linear programming and sensitivity analysis; operation Management with Excel; application to finance

Statistical models: the linear model (statistical inference and forecasting); discrete choice models; time series models; volatility models; the Value at Risk; portfolio selection and CAPM.
Planned learning activities and teaching methods: Classes lessons with slides
Blackboard exercises
Lab with Excel and GRETL
Additional notes about suggested reading: Slides constitute only a part of the course material. Exercises in the textbook and personal simulation with Excel and GRETL are strongly recommended.
Textbooks (and optional supplementary readings)
  • HULL J.C., Options, Futures, and Other Derivatives, 7th edition. --: Prentice Hall, 2008. Cerca nel catalogo
  • BENNINGA S., Principles of Finance with Excel. --: Oxford Un. Press, 2006. Cerca nel catalogo
  • WINSTON W.L., ALBRIGHT S.C., Management Science Modeling, 4th edition. --: Cengage, 2012. Cerca nel catalogo
  • Stock J. H. & M. W. Watson, Introduction to Econometrics, 3rd Edition. --: Addison-Wesley Series in Economics, 2010. Anche in edizione italiana Cerca nel catalogo