Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| primo semestre | Sep 15, 2014 | Jan 9, 2015 |
| secondo semestre | Feb 19, 2015 | May 29, 2015 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 12, 2015 | Feb 18, 2015 |
| sessione estiva | Jun 4, 2015 | Jul 11, 2015 |
| sessione autunnale | Aug 24, 2015 | Sep 9, 2015 |
| Session | From | To |
|---|---|---|
| sessione autunnale | Dec 12, 2014 | Dec 19, 2014 |
| sessione invernale | Apr 8, 2015 | Apr 10, 2015 |
| sessione estiva | Sep 10, 2015 | Sep 11, 2015 |
| Period | From | To |
|---|---|---|
| festività natalizie | Dec 22, 2014 | Jan 5, 2015 |
| festività pasquali | Apr 3, 2015 | Apr 7, 2015 |
| vacanze estive | Aug 10, 2015 | Aug 22, 2015 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Borello Giuliana
giuliana.borello@univr.it
045 802 8493
Centanni Silvia
silvia.centanni@univr.it
045 8425460
massimo.franchetti@univr.it
paolo.frigo@univr.it
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2015/2016
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Computational methods for finance (2015/2016)
Teaching code
4S00535
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Period
primo semestre dal Sep 28, 2015 al Jan 8, 2016.
Learning outcomes
Numerical methods for derivative pricing and risk managment:
- tree methods;
- finite differences methods (implicit, explicit, Crank-Nicholson)
- Monte Carlo methods.
Each of the above topic includes practical implementations with Matlab.
Program
Scope of the course is the introduction of the main numerical methods used for numerical computation of financial quantities, derivative pricing and risk evaluation in finance. Such methods will be developed with the use of the software Matlab.
In particular, the following topics will be treated:
- Tree methods for the pricing of European contingent claims and empirical check of the convergence of the results to the Black and Scholes formula in the case of put and call options. Computation of the delta. Application of the methods in the case of American contingent claims.
- Finite differences methods (implicit, explicit, Crank-Nicholson) for the pricing of European and American contingent claims. Stability and convergence.
- Monte Carlo methods: Euler scheme for the simulation of trajectories of stochastic processes: the case of the Black and Scholes model and of the stochastic volatility models. Use of Monte Carlo methods for derivative pricing and for the computation of Value at Risk.
TEXTBOOKS:
P. Wilmott, "Paul Wilmott introduces quantitative finance", Wiley 2006
P. Glasserman, "Monte Carlo methods for financial engineering", Springer 2004
Examination Methods
The exam is developed in two parts: a practical work with Matlab, followed by a spoken exam. The practical work is organized in exercises and will last 3 hours. The spoken exam is devoted to the assessment of student's learning during the course, the understanding of items, the ability to connect knowledges.
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
List of thesis proposals
| theses proposals | Research area |
|---|---|
| Tesi di laurea magistrale - Tecniche e problemi aperti nel credit scoring | Statistics - Foundational and philosophical topics |
| I covered bond | Various topics |
| Il metodo Monte Carlo per la valutazione di opzioni americane | Various topics |
| Il Minimum Requirement for own funds and Eligible Liabilities (MREL) | Various topics |
| L'acquisto di azioni proprie | Various topics |
| Proposte Tesi A. Gnoatto | Various topics |
Linguistic training CLA
Gestione carriere
Internships
Student login and resources
Modalità di frequenza, erogazione della didattica e sedi
Le lezioni di tutti gli insegnamenti del corso di studio, così come le relative prove d’esame, si svolgono in presenza.
Peraltro, come ulteriore servizio agli studenti, è altresì previsto che tali lezioni siano videoregistrate e che le videoregistrazioni vengano messe a disposizione sui relativi spazi e-learning degli insegnamenti, salvo diversa comunicazione del singolo docente.
La frequenza non è obbligatoria.
Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.
È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.
Le sedi di svolgimento delle lezioni e degli esami sono le seguenti
