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 1, 2018 Dec 21, 2018
secondo semestre lauree magistrali Feb 25, 2019 May 31, 2019
Exam sessions
Session From To
sessione invernale lauree magistrali Jan 7, 2019 Feb 22, 2019
sessione estiva lauree magistrali May 27, 2019 Jul 5, 2019
Sessione autunnale Aug 26, 2019 Sep 13, 2019
Degree sessions
Session From To
Sessione autunnale (validità a.a. 2017/18) Dec 6, 2018 Dec 7, 2018
Sessione invernale (validità a.a. 2017/18) Apr 3, 2019 Apr 5, 2019
Sessione estiva (validità a.a. 2018/19) Sep 10, 2019 Sep 11, 2019
Holidays
Period From To
Festa di Ognissanti Nov 1, 2018 Nov 1, 2018
Festa dell’Immacolata Dec 8, 2018 Dec 8, 2018
Vacanze di Natale Dec 22, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 23, 2019
Festa della liberazione Apr 25, 2019 Apr 25, 2019
Festa del lavoro May 1, 2019 May 1, 2019
Festa del Santo Patrono - S. Zeno May 21, 2019 May 21, 2019
Attività sospese (vacanze estive) Aug 5, 2019 Aug 23, 2019

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

A B C D F G L M O P R S T 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

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

Castellani Paola

symbol email paola.castellani@univr.it symbol phone-number 045 802 8127

Confente Ilenia

symbol email ilenia.confente@univr.it symbol phone-number 045 802 8174

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

Fiorentini Riccardo

symbol email riccardo.fiorentini@univr.it symbol phone-number 0444 393934 (VI) - 045 802 8335(VR)

Frigo Paolo

symbol email paolo.frigo@univr.it

Gnoatto Alessandro

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

Grossi Luigi

symbol email luigi.grossi@univr.it symbol phone-number 045 802 8247

Lubian Diego

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

Messina Sebastiano Maurizio

symbol email sebastianomaurizio.messina@univr.it symbol phone-number 045 802 8052

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

Ortoleva Maria Grazia

symbol email mariagrazia.ortoleva@univr.it symbol phone-number 045 802 8052

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

Roffia Paolo

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

Rossi Francesco

symbol email francesco.rossi@univr.it symbol phone-number 045 8028067

Scricciolo Catia

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

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0458028492
Foto,  September 13, 2019

Taschini Luca

symbol email luca.taschini@univr.it symbol phone-number 045 802 8736

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:

2° Year   activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
Stage
6
F
-
Final exam
15
E
-
activated in the A.Y. 2019/2020
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

List of courses with unassigned period
years Modules TAF Teacher
Data discovery for business decisions D Claudio Zoli (Coordinator)
Elements of financial risk management D Claudio Zoli (Coordinator)
Introduction to business plan D Paolo Roffia (Coordinator)
SFIDE - Europe D Claudio Zoli (Coordinator)
1° 2° Advanced risk and portfolio management bootcamp (online) (3 cfu) D Roberto Renò (Coordinator)
1° 2° Advanced risk and portfolio management bootcamp (onsite) (6 cfu) D Roberto Renò (Coordinator)
1° 2° Convegno "gli scambi commerciali con l'estero: questioni fiscali, doganali e contrattuali" D Sebastiano Maurizio Messina (Coordinator)
1° 2° Ineka conference 2019 teamworking membership D Federico Brunetti (Coordinator)
1° 2° Introduction to Java programming D Alessandro Gnoatto (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° "le grandi trasformazioni degli anni '60-'70 e l'italia cinquant'anni dopo" D Angelo Zago (Coordinator)
1° 2° Social responsibility model for the restaurants' ecosystems D Silvia Cantele (Coordinator)
1° 2° Marketing Plan D Ilenia Confente (Coordinator)
1° 2° Polis - festival biblico in universita' D Giorgio Mion (Coordinator)
1° 2° Programming in Matlab D Diego Lubian (Coordinator)
1° 2° Programming in R D Diego Lubian (Coordinator)
1° 2° Programming Stata (3 cfu) D Diego Lubian (Coordinator)
1° 2° Quality and problem solving in business organizations D Paola Castellani (Coordinator)
1° 2° La competitività regionale e le sue risorse endogene: il concetto di capitale territoriale D Riccardo Fiorentini (Coordinator)
1° 2° Soft skills in action D Paola Signori (Coordinator)

Teaching code

4S00241

Coordinator

Diego Lubian

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

primo semestre lauree magistrali dal Oct 1, 2018 al Dec 21, 2018.

Learning outcomes

Financial econometrics is the intersection of statistical techniques and finance. Financial econometrics provides a set of tools that are useful for modeling financial data and testing beliefs about how markets work and prices are formed.

Program

1. The simple linear regression model
2. The multiple linear regression model
3. Empirical evidence on security returns (single and multifactor models)
4. Test of portfolio efficiency
5. The generalized regression model: active portfolio management (Black-Litterman)
6. Financial returns modeling: ARMA models
7. Volatility modeling: ARCH/GARCH models

Texbooks:
Stock, J e M. Watson, Introduction to Econometrics, Pearson
Verbeek, M., A Guide to Modern Econometrics, Wiley

1. Stock-Watson, ch. 4, 5, 17

2. Stock-Watson, ch. 6, 7, 18.1-18.6

3. Suggested readings: F. Black, M. Jensen e M. Scholes (1972) “The Capital asset pricing model: some empirical tests”; E. Fama, J. MacBeth (1973), “Risk, return and equilibrium: empirical tests”, Journal of Political Economy.

4. M. Britten-Jones (1999), “The Sampling Error in Estimates of Mean-Variance Efficient Portfolio Weights”, Journal of Finance;
Suggested reading: E. Fama, K. French (1993) “Common risk factors in the returns of stocks and bonds”, Journal of Financial Economics.
For a general treatment of portfolio theory,see: Edwin J. Elton, Martin J. Gruber,Stephen J. Brown, William N. Goetzmann, Modern Portfolio Theory and Investment Analysis, Wiley and Sons.

5. Suggested readings: P. Jorion (1992) “Portfolio optimization in practice”, Financial Analyst Journal; F.Black e R.Litterman (1991) “Global portfolio optimization”, Financial Analyst Journal.

6. Verbeek, ch. 8 and handout.

7. Verbeek, ch. 8 and handout.

Reference texts
Author Title Publishing house Year ISBN Notes
Verbeek, M. A Guide to Modern Econometrics Wiley 2000
James H. Stock, Mark W. Watson Introduzione all'econometria (Edizione 4) Pearson Education Italia 2016 978-8-891-90124-8

Examination Methods

The exam is made of one written essay and one individual homework; the final grade is given by the average of the grades in the essay and the homework, with 75% and 25% weights respectively. In order to pass the exam, it is necessary to obtain a grade not below 16/30 in the written essay.
The written essay is taken in a teaching room, lasts two hours and covers the whole program of the module.
The homework is developed individually outside the teaching rooms, and can be of two types (Homework I and Homework II). Each student can choose which type of homework to deliver, but must deliver one of them. Once the deadline for delivery of Homework II has expired, it is possible to deliver Homework I only. The homework grade remains valid throughout the academic year.

Homework I
The homework aims to develop critical skills with respect to empirical applications. Each student is free to choose one article from www.lavoce.info, www.voxeu.org/, www.ilsole24ore.com or other webiste, provided that it discusses an economic topic and makes use of data.
The homework consists in an essay of max. 2000 words, to be delivered to the address diego.lubian[at]univr.it within the day in which the latest exam of the academic year is scheduled. The homework will pass through an antiplagiarism analysis by means of the Compilation software; it is advisable to make a personal preliminary analysis before submitting the homework.
The essay must be divided in sections in such a way to contain a) a reference to the chosen article (title, authors, link), b) a summary of the article, briefly describing its motivation, goal, methodology and results, and c) a critical comment on the methodology, also proposing alternative analyses and possible future developments. The essay must also report the word count.

Homework II
The homework aims to develop analytical skills through personal data analysis in Gretl. Any student interested in this homework must write to the address diego.lubian[at]univr.it communicating name, surname and ID number. He or she will then receive a number, corresponding to the dataset to be used. The text of the homework will be made available at the end of the lectures; the solution must be delivered by email within the following three days.

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

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
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


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.