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.

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 4, 2021 Dec 17, 2021
secondo semestre (lauree magistrali) Feb 21, 2022 May 13, 2022
Exam sessions
Session From To
sessione invernale Jan 10, 2022 Feb 18, 2022
sessione estiva May 23, 2022 Jul 8, 2022
sessione autunnale Aug 22, 2022 Sep 23, 2022
Degree sessions
Session From To
sessione autunnale (validità a.a. 2020/2021) Dec 6, 2021 Dec 10, 2021
sessione invernale (validità a.a. 2020/2021) Apr 6, 2022 Apr 8, 2022
sessione estiva (validità a.a. 2021/2022) Sep 5, 2022 Sep 6, 2022

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 Enrollment FAQs

Academic staff

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

Bottiglia Roberto

symbol email roberto.bottiglia@univr.it symbol phone-number 045 802 8224

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Cantele Silvia

symbol email silvia.cantele@univr.it symbol phone-number 045 802 8220 (VR) - 0444 393943 (VI)

Carluccio Emanuele Maria

symbol email emanuelemaria.carluccio@univr.it symbol phone-number 045 802 8487

Chiaramonte Laura

symbol email laura.chiaramonte@univr.it

Cortese Mauro

symbol email mauro.cortese@univr.it

De Mari Michele

symbol email michele.demari@univr.it symbol phone-number 045 802 8226

Faccincani Lorenzo

symbol email lorenzo.faccincani@univr.it symbol phone-number 045 802 8610

Florio Cristina

symbol email cristina.florio@univr.it symbol phone-number 045 802 8296

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537

Lubian Diego

symbol email diego.lubian@univr.it symbol phone-number 045 802 8419

Mancini Cecilia

symbol email cecilia.mancini@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Patacca Marco

symbol email marco.patacca@univr.it symbol phone-number 0458028788

Picarelli Athena

symbol email athena.picarelli@univr.it symbol phone-number 045 8028242

Pichler Flavio

symbol email flavio.pichler@univr.it symbol phone-number 045 802 8273

Renò Roberto

symbol email roberto.reno@univr.it symbol phone-number 045 802 8526

Rossi Francesco

symbol email francesco.rossi@univr.it symbol phone-number 045 8028067
profilo,  January 21, 2019

Santi Flavio

symbol email flavio.santi@univr.it symbol phone-number 045 802 8239

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186
Virginia Vannucci,  October 25, 2020

Vannucci Virginia

symbol email virginia.vannucci@univr.it

Zago Angelo

symbol email angelo.zago@univr.it symbol phone-number 045 802 8414

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 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 enrollment year.

CURRICULUM TIPO:
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S006189

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

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

Period

secondo semestre (lauree magistrali) dal Feb 21, 2022 al May 13, 2022.

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.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

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.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Type D and Type F activities

Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").

Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.

Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.

Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dal Consiglio della Scuola di Economia e Management e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.

Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.

COMPETENZE TRASVERSALI
Scopri i percorsi formativi promossi dal  Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali: https://talc.univr.it/it/competenze-trasversali


ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, inlcuse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

1° periodo lezioni (1A) From 9/16/21 To 10/30/21
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Caterina Fratea (Coordinator)
1° 2° The fashion lab (2 ECTS) D Caterina Fratea (Coordinator)
1° 2° The fashion lab (3 ECTS) D Caterina Fratea (Coordinator)
primo semestre (lauree) From 9/20/21 To 1/14/22
years Modules TAF Teacher
1° 2° Marketing plan D Virginia Vannucci (Coordinator)
Periodo generico From 10/1/21 To 5/31/22
years Modules TAF Teacher
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinator)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinator)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinator)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Samsung Innovation Camp D Marco Minozzo (Coordinator)
primo semestre (lauree magistrali) From 10/4/21 To 12/17/21
years Modules TAF Teacher
1° 2° Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 D Angelo Zago (Coordinator)
1° 2° What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public D Federico Brunetti (Coordinator)
1° 2° Elements of Financial Risk Management - 2021/2022 D Claudio Zoli (Coordinator)
1° 2° Integrated Financial Planning D Riccardo Stacchezzini (Coordinator)
1° periodo lezioni (1B) From 11/5/21 To 12/16/21
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Caterina Fratea (Coordinator)
1° 2° The fashion lab (2 ECTS) D Caterina Fratea (Coordinator)
1° 2° The fashion lab (3 ECTS) D Caterina Fratea (Coordinator)
secondo semestre (lauree magistrali) From 2/21/22 To 5/13/22
years Modules TAF Teacher
1° 2° La metodologia SEM applicata allo studio della relazione tra gestione del rischio e performance nelle PMI D Cristina Florio (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Machine learning and quantum computing with some applications in mathematical finance D Alessandro Gnoatto (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° How to Enter in a Foreign Market. Theory and Applications - 2021/2022 D Angelo Zago (Coordinator)
1° 2° Introduction to Java programming D Alessandro Gnoatto (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)

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 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 erogazione della didattica

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.