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.

A.A. 2020/2021

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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
primo semestre (lauree magistrali) Oct 5, 2020 Dec 23, 2020
secondo semestre (lauree magistrali) Mar 1, 2021 Jun 1, 2021
Exam sessions
Session From To
sessione invernale Jan 11, 2021 Feb 12, 2021
sessione estiva Jun 7, 2021 Jul 23, 2021
sessione autunnale Aug 23, 2021 Sep 17, 2021
Degree sessions
Session From To
sessione autunnale (validità a.a. 2019/20) Dec 9, 2020 Dec 11, 2020
sessione invernale (validità a.a. 2019/20) Apr 7, 2021 Apr 9, 2021
sessione estiva (validità a.a. 2020/21) Sep 6, 2021 Sep 8, 2021
Holidays
Period From To
Vacanze di Natale Dec 24, 2020 Jan 6, 2021
Vacanze di Pasqua Apr 3, 2021 Apr 6, 2021
Vacanze estive Aug 9, 2021 Aug 15, 2021

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.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C D F G M N P R S V Z

Baruffi Maria Caterina

mariacaterina.baruffi@univr.it

Bottiglia Roberto

roberto.bottiglia@univr.it 045 802 8224

Bracco Emanuele

emanuele.bracco@univr.it 045 802 8293

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Carluccio Emanuele Maria

emanuelemaria.carluccio@univr.it 045 802 8487

Chiaramonte Laura

laura.chiaramonte@univr.it

Cortese Mauro

mauro.cortese@univr.it

De Mari Michele

michele.demari@univr.it 045 802 8226

Faccincani Lorenzo

lorenzo.faccincani@univr.it 045 802 8610

Gnoatto Alessandro

alessandro.gnoatto@univr.it 045 802 8537

Grossi Luigi

luigi.grossi@univr.it 045 802 8247

Mancini Cecilia

cecilia.mancini@univr.it

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Noto Sergio

elefante@univr.it 045 802 8008

Patacca Marco

marco.patacca@univr.it 0458028788

Perali Federico

federico.perali@univr.it 045 802 8486

Picarelli Athena

athena.picarelli@univr.it 045 8028242

Pichler Flavio

flavio.pichler@univr.it 045 802 8273

Renò Roberto

roberto.reno@univr.it 045 802 8526

Rossi Francesco

francesco.rossi@univr.it 045 8028067

Scricciolo Catia

catia.scricciolo@univr.it 045 802 8341

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186

Vannucci Virginia

virginia.vannucci@univr.it

Zoli Claudio

claudio.zoli@univr.it 045 802 8479

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.

CURRICULUM TIPO:
ModulesCreditsTAFSSD
6
B
(SECS-P/09)
9
B
(SECS-S/03)
Training
6
F
-
Final exam
15
E
-

2° Year

ModulesCreditsTAFSSD
6
B
(SECS-P/09)
9
B
(SECS-S/03)
Training
6
F
-
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S006189

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES

Language

Italian

Period

secondo semestre (lauree magistrali) dal Mar 1, 2021 al Jun 1, 2021.

Learning outcomes

The goal of the lecture is to present the theoretical foundations and the models employed by financial institutions to manage different sources of financial risk. A particular focus will be put on numerical methods (Monte Carlo simulations) and their implementation using modern IT-Tools (Java, Eclipse).

Program

Part 1: Monte Carlo Methods Basic notions: expectation, Lp spaces, classical inequalities (Markov, Chebychev etc...) Classical numerical integration Monte Carlo integration (code) Generation of random draws and discretization of stochastic processes (code) Variance reduction techniques (code)

Part 2: Market Risk Introduction: IR, Equity, FX, Commodities, Options Risk Measures: general theory VaR/ES calculation

  1. Historical approach (code)

  2. Analytical approach

  3. Monte Carlo simulations (code)

Optional: Basel II regulations

Part 3: Credit Risk Basic risks in a default-free setting: duration and convexity Structural Models Rating based models Reduced form models Optional: Basel II regulations

Part 4: Counterparty Credit Risk Funding and collateral (xVA) CVA DVA FVA Monte Carlo for xVA (code) Optional: Basel III/Basel IV regulations

Prerequisites:

  1. A good working knowledge of mathematical analysis (limits/derivatives/integration). The ability to solve standard first and second order equations/inequations.

  2. A good working knowledge of basic statistics (probability distributions, conditional probabilities, random variables, central limit theorem, law of large numbers, statistical tests, conditional/unconditional expected values/moments).

  3. Programming: the lecture does not assume that students are experienced Java programmers, anyway attendance of the block-lecture Introduction to Java Programming, offered before the lectures starts, is recommended. It is assumed that students are able to write simple programs in any language such as Matlab, Python, Visual Basic, Turbo Pascal etc. In summary, it is assumed that students are able to think in an algorithmic way, independently of any programming language. Practical tutorials for the Java programming language will be provided.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Baesens, B., Backiel, B. and Vanden Brouke, S. Beginning Java Programming: The Object-Oriented Approach (Edizione 1) Wrox Pr Inc 2015 978-1-118-73949-5
Bielecki, T. and Rutkowski, M. Credit Risk: Modeling, Valuation and Hedging (Edizione 2) Springer 2004 978-3-662-04821-4
A. F. McNeil, R. Frey, P. Embrechts Quantitative Risk Management:Concepts, Techniques and Tools Princeton University Press 2015

Examination Methods

The exam consists of two parts: the first is a Project Work that has to be completed by using the Java programming language. The mark on the project work has a weight of 30% on the final grade.

The Project Work can be completed by groups consisting of up to 4 people.

Aims of the project work are:

implement and deepen the understanding of the methods illustrated during the lecture.
improve the ability to work in teams.


The grade of the project work is valid for all written exams during the current academic year and for the first two examinations of the next academic year.

Students get access to the written exam only if the project work has a positive valuation. Those who do not submit any solution will not be accepted to the exam.

The second part of the exam consists of a written exam on all topics of the lecture. The exam contain theoretical and practical exercises together with programming questions related to the Java programming language. In case the grade is greater or equal to 18, the written exam has a weight of 70% on the final mark.

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
1° 2° Future matters D Alessandro Bucciol (Coordinatore)
1° 2° Future matters D Alessandro Bucciol (Coordinatore)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
1° 2° The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinatore)
1° 2° The fashion lab (3 ECTS) D Maria Caterina Baruffi (Coordinatore)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
1° 2° Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinatore)
1° 2° Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinatore)
1° 2° Wake up Italia - 2020/2021 D Sergio Noto (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinatore)
1° 2° Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinatore)
1° 2° Elements of financial risk management D Claudio Zoli (Coordinatore)
1° 2° Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinatore)
1° 2° Introduction to the Java Programming Language - 2020/21 D Alessandro Gnoatto (Coordinatore)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinatore)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Marketing plan - 2020/21 D Virginia Vannucci (Coordinatore)
1° 2° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° Programming in SAS D Marco Minozzo (Coordinatore)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)

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.

Gestione carriere


Internships


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
Il metodo Monte Carlo per la valutazione di opzioni americane Various topics

Linguistic training CLA


Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.