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 28, 2015 | Jan 8, 2016 |
| Secondo Semestre Magistrali | Feb 22, 2016 | Jun 1, 2016 |
| Session | From | To |
|---|---|---|
| appelli sessione invernale | Jan 11, 2016 | Feb 13, 2016 |
| appelli sessione estiva | Jun 6, 2016 | Jul 9, 2016 |
| Appelli sessione autunnale | Aug 29, 2016 | Sep 16, 2016 |
| Session | From | To |
|---|---|---|
| sessione autunnale | Dec 11, 2015 | Dec 18, 2015 |
| sessione invernale | Apr 6, 2016 | Apr 8, 2016 |
| sessione estiva | Sep 13, 2016 | Sep 14, 2016 |
| Period | From | To |
|---|---|---|
| vacanze natalizie | Dec 23, 2015 | Jan 5, 2016 |
| vacanze pasquali | Mar 25, 2016 | Mar 29, 2016 |
| vacanze estive | Aug 8, 2016 | Aug 27, 2016 |
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 Enrolment FAQs
Academic staff
massimo.franchetti@univr.it
paolo.frigo@univr.it
enrico.moretto@univr.it
Taschini Luca
luca.taschini@univr.it
045 802 8736
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 enrolment year.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2016/2017
| 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 (2016/2017)
Teaching code
4S00535
Teacher
Coordinatore
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Period
Primo semestre Magistrali dal Sep 26, 2016 al Jan 13, 2017.
Learning outcomes
The course aims at analyzing the main numerical methods for derivative pricing and risk managment, in particular:
- tree methods;
- finite differences methods (implicit, explicit, Crank-Nicholson)
- Monte Carlo methods.
At the end of the course, students are able to efficiently implement the previous methods, by using Matlab.
Although no formal prerequisites is needed, the knowledge of the topics related to Stochastic Models for Finance and Mathematical Finance is strongly recommended.
Program
the main goal 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. Use of Monte Carlo methods for derivative pricing.
TEXTBOOKS:
P. Glasserman, "Monte Carlo Methods for Financial Engineering", Springer (2004)
L. Clewlow and C. Strickland, "Implementing Derivatives Models", Wiley (1998)
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 and 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 soon also via the Univr app.
Graduation
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Tesi di laurea magistrale - Tecniche e problemi aperti nel credit scoring | Statistics - Foundational and philosophical topics |
| Fattori ESG e valutazione d'azienda | 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 |
