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 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 Enrollment FAQs

Academic staff

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

Bertoli Paola

symbol email paola.bertoli@univr.it symbol phone-number 045 8028 508

Brunetti Federico

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

Buccheri Giuseppe

symbol email giuseppe.buccheri@univr.it symbol phone-number 045 8028525

Bucciol Alessandro

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

Campolmi Alessia

symbol email alessia.campolmi@univr.it symbol phone-number 045 802 8071

Cantele Silvia

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

Chesini Giuseppina

symbol email giusy.chesini@univr.it symbol phone-number 045 802 8495 (VR) -- 0444/393938 (VI)

Ciampi Annalisa

symbol email annalisa.ciampi@univr.it symbol phone-number 045 802 8061

Cipriani Giam Pietro

symbol email giampietro.cipriani@univr.it symbol phone-number 045 802 8271

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Di Caterina Claudia

symbol email claudia.dicaterina@univr.it symbol phone-number 0458028247

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

Gaudenzi Barbara

symbol email barbara.gaudenzi@univr.it symbol phone-number 045 802 8623

Malpede Maurizio

symbol email maurizio.malpede@univr.it

Matteazzi Eleonora

symbol email eleonora.matteazzi@univr.it symbol phone-number 045 8028741

Menon Martina

symbol email martina.menon@univr.it symbol phone-number 045 8028420

Minozzo Marco

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

Nicodemo Catia

symbol email catia.nicodemo@univr.it symbol phone-number +39 045 8028340

Pellegrini Letizia

symbol email letizia.pellegrini@univr.it symbol phone-number 045 802 8345

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Picarelli Athena

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

Piovesan Marco

symbol email marco.piovesan@univr.it symbol phone-number 045.80.28.104

Roffia Paolo

symbol email paolo.roffia@univr.it symbol phone-number 045 802 8012

Scricciolo Catia

symbol email catia.scricciolo@univr.it symbol phone-number 045 8028341

Sommacal Alessandro

symbol email alessandro.sommacal@univr.it symbol phone-number 045 802 8716

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.

1° Year

ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
Training
3
F
-

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/11
1 module between the following
Final exam
15
E
-
ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
Training
3
F
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/11
1 module between the following
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Further language skills
3
F
-

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

4S008977

Credits

9

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

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

Learning outcomes

The module aims to introduce students to time series analysis, in order to understand how economic phenomena evolve over time. It will present the main econometric tools used to make forecasts and assess their accuracy on economic and financial time series. The use of statistical and econometric professional packages will complement the study of theoretical concepts. At the end of the module, students will prove to be able to critically interpret dynamic models for the analysis and forecast of economic and financial variables, in response to real problems.

Program

1. Empirical properties of economic and financial data
Review of univariate and multivariate statistics
Joint, marginal and conditional density
Correlation versus Dependence
The multivariate Normal
Distributional properties of time-series
Non-normality tests
Serial correlation, Ljung-Box and Box-Pierce test statistics
Markov property

2. Stationary linear time-series models I
Weak and strong stationarity
White noise, random walk, random walk with trend
The autocovariance of a weakly stationary process
AR(1) model: conditions for stationarity, autocovariance and autocorrelation.
AR(2) model: vector representation, conditions for stationarity, autocovariance and autocorrelation.

3. Stationary linear time-series models II
The AR(p) model: vector representation, conditions for stationarity, autocovariance and autocorrelation
The Yule-Walker equations
MA(q) model: stationarity, autocovariance and autocorrelation
Invertibility of MA(1) and identification issues
ARMA(p,q) model: stationarity, autocovariance and autocorrelation
The Wold decomposition theorem
Short versus long memory processes

4. Estimation, Identification and Diagnostic
LLN and CLT for dependent process
Consistency and asymptotic normality of the sample mean and sample autocovariance
Yule-Walker estimation of AR(p) processes
OLS estimation of AR(p) process
Violation of strict exogeneity in time-series models
Maximum-likelihood estimation
MLE of sample mean and sample variance under normality
Asymptotic properties of MLE
Conditional Maximum-likelihood estimation
Exact and conditional likelihood estimation of the AR(1) model
Conditional likelihood estimation of the MA(1) model
Quasi-maximum likelihood
Partial autocorrelation and information criteria
Diagnostic

5. Forecasting
Loss functions and mean square error
Forecasting based on conditional expectations
Forecasting with AR, MA and ARMA models
Multistep ahead forecasts
Direct versus iterated forecasts
Density forecasts
Some remarks on non-linear time-series models and realized volatility

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 a written exam and a group homework that will be assigned to students at
the end of the course. Each group is formed by a maximum of four students, and is assigned a
different homework. The goal of the homework is to reproduce (a part of) the empirical results of
a scientific paper using a computer code. The final result is a weighted average of the written
exam grade (70%) and the homework grade (30%), with the constraint that a minimum grade of
16/30 in the written exam is required to pass the exam. The homework must be submitted by the written exam date. The homework grade remains valid until the lectures of the following academic year start.

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

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
Future matters D Alessandro Bucciol (Coordinator)
Future matters D Alessandro Bucciol (Coordinator)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinator)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinator)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinator)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinator)
secondo semestre (lauree magistrali) From 3/1/21 To 6/1/21
years Modules TAF Teacher
Professional Communication for Economics D Claudio Zoli (Coordinator)
1° 2° Business analytics: make your data make an impact - 2020/2021 D Claudio Zoli (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinator)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinator)
Elements of financial risk management D Claudio Zoli (Coordinator)
Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinator)
Introduction to business plan - 2020/21 D Paolo Roffia (Coordinator)
The fashion lab (3 ECTS) D Not yet assigned
Marketing plan - 2020/21 D Virginia Vannucci (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° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)
1° 2° 3° Excel Laboratory (Verona) 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 also via the Univr app.

Graduation

List of thesis proposals

theses proposals Research area
PMI (SMES) and financial performance MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES
Corporate governance, financial performance and international business Various topics

Linguistic training CLA


Internships

The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.


Gestione carriere


Student login and resources


Methods of teaching delivery

All lectures as well as all the exams are held in person. In particular, we highlight the importance of taking part in classroom activities in order to benefit from interaction with colleagues and instructors and participating in project works, presentations and group works that could be organized by the different courses.

Furthermore, as a further service to students, the lessons will be video-recorded and made available on the relevant e-learning platform of the courses unless otherwise communicated by the individual lecturers who will also define the methods and times for activating this service. However, it is underlined that the recordings do not represent a substitute for the lectures and activities carried out in the classroom.