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


Bottiglia Roberto

symbol email symbol phone-number 045 802 8224

Bracco Emanuele

symbol email symbol phone-number 045 802 8293

Bucciol Alessandro

symbol email symbol phone-number 045 802 8278

Carluccio Emanuele Maria

symbol email symbol phone-number 045 802 8487

Cassia Fabio

symbol email symbol phone-number 0458028689

Chiaramonte Laura

symbol email

Cobelli Nicola

symbol email symbol phone-number 0458028295

Cortese Mauro

symbol email

De Mari Michele

symbol email symbol phone-number 045 802 8226

Faccincani Lorenzo

symbol email symbol phone-number 045 802 8610

Florio Cristina

symbol email symbol phone-number 045 802 8296

Fratea Caterina

symbol email symbol phone-number 045 842 5358

Gnoatto Alessandro

symbol email symbol phone-number 045 802 8537

Mancini Cecilia

symbol email

Minozzo Marco

symbol email symbol phone-number 045 802 8234

Patacca Marco

symbol email symbol phone-number 0458028788

Picarelli Athena

symbol email symbol phone-number 045 8028242

Pichler Flavio

symbol email symbol phone-number 045 802 8273

Renò Roberto

symbol email symbol phone-number 045 802 8526

Rossi Francesco

symbol email symbol phone-number 045 8028067
profilo,  January 21, 2019

Santi Flavio

symbol email symbol phone-number 045 802 8239

Stacchezzini Riccardo

symbol email symbol phone-number 0458028186

Zago Angelo

symbol email symbol phone-number 045 802 8414

Zoli Claudio

symbol email 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.

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








Scientific Disciplinary Sector (SSD)



Primo semestre (lauree magistrali) dal Oct 3, 2022 al Dec 23, 2022.

Learning objectives

The goal of the course is to introduce students to the modern econometric and time series tools for analyzing and modeling financial returns and volatility. The course provides students with theoretical and practical knowledge of the statistical and computational skills needed for the identification, estimation and test of stochastic processes used by the financial operators to manage risk and develop investment strategies. At the end of the course, students will be able to critically compare the price dynamic of different assets and to estimate the parameters of the stochastic processes that captures the main stylized facts observed in the financial markets.

Prerequisites and basic notions

The course requires knowledge of the fundamental notions of probability calculus and statistical inference taught in the bachelor's degree programmes.


1. Prices and index numbers
* Prices and returns
* Moving averages
* Index numbers and stock indexes
2. Probability and inference
3. Risk measures and validation of statistical models
* Risk measures
* Monte Carlo
* Cross-validation and backtesting
4. Analysis of returns: empirical facts
* Unconditional distribution of returns
* Time dependence and autocorrelation function
* Correlograms
5. Analysis of returns: stochastic mean models
* Stochastc processes: iid, AR, MA and ARMA
* Identification and fitting of ARMA processes
* Conditional risk measures on ARMA processes
6. Analysis of returns: stochastic variance models
* Stochastic processes: ARCH and GARCH
* Identification and fitting of GARCH processes
* Conditional risk measures on GARCH and ARMA-GARCH processes
7. Introduction to extreme value theory
* Heavy-tailed distributions and risk measures
* Parametric and semiparametric models of conditional risk measures
* Generalised Pareto distribution
Methods and techniques illustrated throughout the course are applied to real data by means of the open source environment R.


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.

Didactic methods

Frontal lectures in classroom and recorded lectures available online.

Learning assessment procedures

The assessment of learning outcomes consists in a written examination.
The examination consists of:
* six short, multiple choice, or calculated questions
* one open-ended question
* one open-ended question chosen from two available
All kinds of questions may be focussed on theoretical and methodological issues, may consist in exercises, or may require the student to discuss and analyse some practical problem using notions and tools learned throughout the course.
The teacher may require students to take an oral examination which completes the evaluation of the acquired knowledge. The final grade may be equal, higher or lower than the grade got on the written part of the exam.

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

Evaluation criteria

The written examination assesses the level of knowledge of the topics of the course, the mastery of technical language and the writing skills, the ability to analyse financial time series by means of the methods illustrated in the course and the ability to interpret the results of the analyses.

Criteria for the composition of the final grade

The examination score is on a 30-point scale (passing mark: 18).

Exam language


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.

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:

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)
Modules borrowed from the Faculty of Giurisprudenza
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.


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

Linguistic training CLA

Gestione carriere


Student login and resources