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
Periodo generico Oct 1, 2023 May 31, 2024
Primo semestre (lauree magistrali) Oct 2, 2023 Dec 22, 2023
Secondo semestre (lauree magistrali) Feb 26, 2024 May 24, 2024
Exam sessions
Session From To
Sessione invernale (lauree magistrali) Jan 8, 2024 Feb 23, 2024
Sessione estiva (lauree magistrali) May 27, 2024 Jul 12, 2024
Sessione autunnale (lauree magistrali) Aug 26, 2024 Sep 20, 2024
Degree sessions
Session From To
Sessione autunnale a.a. 2022/2023 Dec 5, 2023 Dec 7, 2023
Sessione invernale a.a. 2022/2023 Apr 3, 2024 Apr 5, 2024
Sessione estiva a.a. 2023/2024 Sep 4, 2024 Sep 6, 2024

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 P R S

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

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

Carluccio Emanuele Maria

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

Cassia Fabio

symbol email fabio.cassia@univr.it symbol phone-number 0458028689

Chiaramonte Laura

symbol email laura.chiaramonte@univr.it

Cortese Mauro

symbol email mauro.cortese@univr.it

D'Alberto Riccardo

symbol email riccardo.dalberto@univr.it symbol phone-number 045 8028248

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

Gnoatto Alessandro

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

Mazzon Andrea

symbol email andrea.mazzon@univr.it symbol phone-number 045 8028345

Melchiori Massimo

symbol email massimo.melchiori@univr.it

Minozzo Marco

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

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172

Mola Lapo

symbol email lapo.mola@univr.it symbol phone-number 0458028565

Munari Cosimo

symbol email cosimo.munari@univr.it symbol phone-number 045 8028246

Pichler Flavio

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

Riso Vincenzo

symbol email vincenzo.riso@univr.it symbol phone-number 045 8028766

Roffia Paolo

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

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

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:

2° Year   activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
Stage
6
F
-
Final exam
15
E
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
Stage
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.




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

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 dalla Commissione didattica 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

 

CONTAMINATION LAB

Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/clabverona

 

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse 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.

Primo semestre (lauree) From 9/25/23 To 1/19/24
years Modules TAF Teacher
1° 2° Thematic cycle of conferences on Women's "leadership": data, reflections and experiences D Martina Menon (Coordinator)
1° 2° Educational laboratory on credit securitization D Michele De Mari (Coordinator)
Periodo generico From 10/1/23 To 5/31/24
years Modules TAF Teacher
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° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Plan your future D Paolo Roffia (Coordinator)
1° 2° Plan your future D Paolo Roffia (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)
Primo semestre (lauree magistrali) From 10/2/23 To 12/22/23
years Modules TAF Teacher
1° 2° Elements of financial risk management 2023/2024 D Claudio Zoli (Coordinator)
1° 2° English for business and economics D Claudio Zoli (Coordinator)
1° 2° Introduction to Java programming D Alessandro Gnoatto (Coordinator)
1° 2° Topics in applied economics and finance - 2023/2024 D Claudio Zoli (Coordinator)
Secondo semestre (lauree magistrali) From 2/26/24 To 5/24/24
years Modules TAF Teacher
1° 2° Digital experiments in economics - 2023/2024 D Claudio Zoli (Coordinator)
1° 2° The accountant as a business consultant D Riccardo Stacchezzini (Coordinator)
1° 2° Key markets / business approach & business negotiations - 2023/2024 D Angelo Zago (Coordinator)
1° 2° Professional communication for economics – 2023/2024 D Claudio Zoli (Coordinator)
1° 2° The why, the what and the how of structural equation modelling D Cristina Florio (Coordinator)
1° 2° Topics in economics and ethics of artificial intelligence- 2023/2024 D Claudio Zoli (Coordinator)

Teaching code

4S00489

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre LM dal Sep 30, 2024 al Dec 23, 2024.

Courses Single

Authorized

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 following knowledge relating to basic descriptive statistics and the introduction to statistical inference is taken as acquired:
• Statistical indices: arithmetic mean, geometric mean, weighted mean, mean for frequency distributions in classes, median, mode, quantiles and quartiles ).
• Statistical indices of variability (range of variation, interquartile range, variance, concentration measures, diversity indices).
• Point estimate (definition and properties of estimators, point estimate of the mean, proportion, variance).
• Interval estimation (mean, proportion, variance).
• Hypothesis testing (test theory, mean test, variance test, p-value).

Program

1. Theory of random variables
• Discrete r.v.s.
• Continuous r.v.s.
• Moment Generating Function and estimators based on the method of moments
• Chebyshev inequality and its generalizations
2. Models for random variables
• Multivariate r.v.s.: discrete, continuous, relationships between r.v.s. and correlation coefficient
• R.v.s. transformations, sequences and convergence criteria
• Discrete r.v.s. (Bernoulli, Binomial, Hypergeometric, Poisson)
• Continuous r.v.s. (Beta, Gamma, Normal, Student's t, Chi-square, Pareto)
• Law of large numbers and Central Limit Theorem
3. Gauss-Markov theorem.
4. Price and return analysis
• Random walk processes, stationarity and non-stationarity
• Brownian motion: definitions and simulation approaches
• ADF test
• Normality test (omnibus test, Shapiro-Wilk, Jarque-Bera tests)
• QQ plot
5. Probability distributions of returns
• Autocorrelation functions and correlogram analysis
• Analysis of conditional expected value
• Analysis of conditional variance
6. Estimation of risk measures and backtesting
• Value at risk and Expected Shortfall
• Parametric and non-parametric approaches to risk estimation
• Evaluation of financial risk estimates
7. Evolutions of mean-variance theory
• Shrinkage estimators for means and covariances
• Some proposals from recent literature
8. Introduction to copulas
• Theory of extreme values and GEV distributions
• Copulas: definitions, properties, and methods of construction
• The copulas for risk modeling
For further information on the programme, teaching methods, learning assessment methods, and evaluation criteria, please carefully and promptly read the document "SYLLABUS STATISTICA DEI MERCATI FINANZIARI A.A. 2024-2025" available on the Moodle platform related to the teaching course.

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.

Didactic methods

Classroom lessons conducted with the support of the teaching material provided to the students by the teacher, examples and exercises carried out with the R software, and OneNote notes.

Learning assessment procedures

Learning is assessed through a written exam.
The test is structured as follows:
 10 questions with short, multiple or calculated answers
 4 open-ended questions
The questions can concern theoretical or methodological aspects, require the solution of exercises, ask to discuss, comment, analyze problems of an applied nature on the basis of the notions acquired during the teaching.
With the exception of in-depth materials, all the topics presented in class by the teacher, the sections of the textbooks indicated among the bibliographical references inherent to the teaching program, the supplementary materials sent by the teacher and/or uploaded to the Moodle.
If inconsistencies emerge in the answers provided in the written test or it is not possible to formulate an overall evaluation of the exam, the teacher reserves the right to call the individual candidates to take an additional oral exam. The oral exam may concern any topic of the teaching programme, and may result in a final evaluation equal to, higher or lower than that achieved in the written examination, with the possibility of modifying the outcome also in relation to the assessment of sufficiency.
For further information on the exam, read the document "SYLLABUS STATISTICA DEI MERCATI FINANZIARI A.A. 2024-2025" available on the Moodle teaching platform.

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 exam, as well as the oral one, are aimed at ascertaining the candidate's knowledge of the topics of the teaching programme, the mastery of the technical language and the clarity of presentation, the ability to apply statistical methods independently learned during the course of the teaching and approach the statistical analysis of business phenomena, providing a correct interpretation of the results.

Criteria for the composition of the final grade

The vote is expressed in thirtieths.

Exam language

Italiano

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
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

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.


Student login and resources


Modalità di frequenza, erogazione della didattica e sedi

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.

La frequenza non è obbligatoria.

Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.

È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.

Le sedi di svolgimento delle lezioni e degli esami sono le seguenti