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
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


Baruffi Maria Caterina

Bottiglia Roberto 045 802 8224

Bracco Emanuele 045 802 8293

Brunetti Federico 045 802 8494

Bucciol Alessandro 045 802 8278

Carluccio Emanuele Maria 045 802 8487

Chiaramonte Laura

Cortese Mauro

De Mari Michele 045 802 8226

Faccincani Lorenzo 045 802 8610

Gnoatto Alessandro 045 802 8537

Mancini Cecilia

Menon Martina 045 802 8420

Minozzo Marco 045 802 8234

Noto Sergio 045 802 8008

Patacca Marco

Perali Federico 045 802 8486

Picarelli Athena 045 8028242

Pichler Flavio 045 802 8273

Renò Roberto 045 802 8526

Rossi Francesco 045 8028067

Scricciolo Catia 045 802 8341

Stacchezzini Riccardo 045 802 8186

Vannucci Virginia

Zoli Claudio 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.

Final exam

2° Year

Final exam
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



Luigi Grossi


Luigi Grossi



Scientific Disciplinary Sector (SSD)





primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.

Learning outcomes

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.


1. Financial prices and stock indexes
1.1 Price formation in financial markets
1.2 Stock indexes
- Computational methods
- Main Italian stock indexes
1.3 Correction factors for financial prices

2. Empirical Properties of Returns
2.1 Financial returns
2.2 Distributional properties of returns
2.3 Correlation properties of returns. The autocorrelation function.

3. Stochastic processes for returns
3.1 Moments: definitions and estimation
3.2 Stochastic processes for financial returns: white noise, random walk, autoregressive, moving average.
3.3 Box-Jenkins procedure: preliminary adjustments, identification, estimation and test.

4. Volatility of financial returns
4.1 Characteristics of Volatility.
4.2 Symmetric GARCH processes.

Text books
- G. M. Gallo, B. Pacini, Metodi quantitativi per i mercati finanziari, Carocci, Roma, 2013 (VII Ristampa).
- Bee M., Santi F., Finanza Quantitativa con R, Apogeo, 2013

The interaction with students will be encouraged by discussing real financial cases. Exercises will be held in the classroom by means of the freeware R statistical software and analyzing the prices of financial assets quoted in the Italian market. Face-to-face classes are possible following the general rules given by the University. During Covid-19 emergency, classes will be made available on streaming and recorded.

Attending and passing the exam "Econometria dei Mercati Finanziari" is a suggested pre-requisite.


Reference texts
Author Title Publishing house Year ISBN Notes
G. M. Gallo, B. Pacini, Metodi quantitativi per i mercati finanziari (Edizione 7) Carocci 2013

Examination Methods

Both the student's preparation will be evaluated as well as its ability to interpret and evaluate the results of the analyses based on the topics taught during the course.

The structure of the written test is as follows:
- one open question (up to 10 points, out of 30),
- two/three numerical exercises (up to 20 points, out of 30). Data will be provided for the solution of real case-studies using the basic tools learned during classes.

Exams will be in face-to-face mode. However, the remote mode is possible for all students upon request during the academic year 2020-21.

The oral test is optional and is aimed to assess the student's ability to use the R language.

Project work (optional activity)
It is carried out by groups of 3/4 students. The project will be carried out by sticking to anti-Covid rules and preference should be given to remote working. The first part of the project work must be completed and sent by e-mail to the teacher for evaluation by the deadline that will be announced by the lecturer. Students will have to demonstrate that they are able to implement all the techniques studied during course through the software R.
The final version of the project work must be sent by email to the teacher for approval at least one week before the exam.
Project work should NOT be presented in the classroom.
Project Work's evaluation will entitle you to a bonus of up to 3/30 that will be added to the grade you have earned in the written test, provided the written grade is equal to or greater than 18/30. The bonus will be valid until September 2021. The bonus can be added to the written exam evaluation only once.

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



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.