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. 2019/2020

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 magistrali Sep 30, 2019 Dec 20, 2019
secondo semestre magistrali Feb 24, 2020 May 29, 2020
Exam sessions
Session From To
Sessione invernale magistrali Jan 7, 2020 Feb 21, 2020
Sessione estiva magistrali Jun 3, 2020 Jul 10, 2020
Autumn Session exams Aug 24, 2020 Sep 11, 2020
Degree sessions
Session From To
Autumn Session Dec 2, 2019 Dec 4, 2019
Winter Session Apr 7, 2020 Apr 9, 2020
Summer session Sep 7, 2020 Sep 9, 2020

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

B C D F G M P R S V Z

Bazzani Claudia

claudia.bazzani@univr.it 0458028734

Bottiglia Roberto

roberto.bottiglia@univr.it 045 802 8224

Bracco Emanuele

emanuele.bracco@univr.it 045 802 8293

Broglia Angela

angela.broglia@univr.it 045 802 8240

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Carluccio Emanuele Maria

emanuelemaria.carluccio@univr.it 045 802 8487

Confente Ilenia

ilenia.confente@univr.it 045 802 8174

Cortese Mauro

mauro.cortese@univr.it

De Mari Michele

michele.demari@univr.it 045 802 8226

Faccincani Lorenzo

lorenzo.faccincani@univr.it 045 802 8610

Frigo Paolo

paolo.frigo@univr.it

Gnoatto Alessandro

alessandro.gnoatto@univr.it 045 802 8537

Grossi Luigi

luigi.grossi@univr.it 045 802 8247

Mancini Cecilia

cecilia.mancini@univr.it

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Perali Federico

federico.perali@univr.it 045 802 8486

Picarelli Athena

athena.picarelli@univr.it 045 8028242

Pichler Flavio

flavio.pichler@univr.it 045 802 8273

Renò Roberto

roberto.reno@univr.it 045 802 8526

Rossi Francesco

francesco.rossi@univr.it 045 8028067

Scricciolo Catia

catia.scricciolo@univr.it 045 802 8341

Signori Paola

paola.signori@univr.it 0444 393942 (VI) 045 802 8492 (VR)

Zoli Claudio

claudio.zoli@univr.it 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.

CURRICULUM TIPO:
ModulesCreditsTAFSSD
6
B
(SECS-P/09)
9
B
(SECS-S/03)
Stage
6
F
-
Final exam
15
E
-

2° Year

ModulesCreditsTAFSSD
6
B
(SECS-P/09)
9
B
(SECS-S/03)
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S00489

Teacher

Luigi Grossi

Coordinatore

Luigi Grossi

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Language

Italian

Period

primo semestre magistrali dal Sep 30, 2019 al Dec 20, 2019.

Learning outcomes

Il corso ha lo scopo di introdurre i principali strumenti statistici utilizzati nell’analisi empirica dei dati finanziari e di fornire i concetti fondamentali della statistica per la finanza. L’obiettivo non è quindi quello di analizzare tutti i dettagli tecnici, per cui non verranno approfonditi i concetti matematici sottostanti l’analisi dei processi stocastici. Al contrario ci serviremo delle idee di base della teoria dei processi stocastici per studiare gli aspetti rilevanti dei metodi per lo studio delle serie storiche finanziarie quali la selezione, la stima e la verifica del modello più appropriato utilizzando dati reali relativi a tassi di cambio, tassi di interesse e quotazioni di borsa. Al termine dell'insegnamento gli studenti dovranno essere in grado di confrontare criticamente l'andamento delle quotazioni di diverse attività finanziarie e di stimare i parametri dei principali processi stocastici che governano la dinamica dei rendimenti finanziari.

Program

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.
All slides projected during lessons will be made available on the e-learning platform before the beginning of the course. For this reason, students are strongly invited to register to the e-learning page of the course. Lectures will be recorded. Videos will be made available the next few days to allow students to revise or to attend lessons to which they have not been able to join directly. The availability of videos is also extended to all students who are unable to attend for work reasons or because they are abroad within the Erasmus program.
Attending and passing the exam "Econometria dei Mercati Finanziari" is a suggested pre-requisite.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Bee M., Santi F. Finanza Quantitativa con R Apogeo 2013
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 written test is compulsory. The structure of the 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.
The oral test is optional.

Project work (optional activity. For attending students only)
It is carried out by groups of 3/4 students. 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 2020. The bonus can be added to the written exam evaluation only once.
During the Summer session (June/July), due to the pandemic emergency, all students will give an online oral exam (Zoom platform).

Type D and Type F activities

Second semester bachelor degree From 2/17/20 To 6/5/20
years Modules TAF Teacher
Simulation and Implementation of Economic Policies D Federico Perali (Coordinatore)
1° 2° Enactus Verona 2020 D Paola Signori (Coordinatore)
1° 2° Parlare in pubblico e economic writing D Martina Menon (Coordinatore)
1° 2° Samsung Innovation Camp D Marco Minozzo (Coordinatore)
secondo semestre magistrali From 2/24/20 To 5/29/20
years Modules TAF Teacher
Simulation and Implementation of Economic Policies D Federico Perali (Coordinatore)
1° 2° Predictive analytics for business decisions - 2019/20 D Claudio Zoli (Coordinatore)
1° 2° Professional communication for economics - 2019/20 D Claudio Zoli (Coordinatore)
1° 2° Parlare in pubblico e economic writing D Martina Menon (Coordinatore)
1° 2° Regulation, procurement and competition - 2019/20 D Claudio Zoli (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Advanced Risk and Portfolio Management Bootcamp (3 cfu) - 2019 D Roberto Renò (Coordinatore)
1° 2° Advanced Risk and Portfolio Management Bootcamp (6 cfu) - 2019 D Roberto Renò (Coordinatore)
1° 2° Elements of financial risk management D Claudio Zoli (Coordinatore)
1° 2° English for business and economics D Claudio Zoli (Coordinatore)
1° 2° Il Futuro Conta! D Alessandro Bucciol (Coordinatore)
1° 2° Il Futuro Conta! D Alessandro Bucciol (Coordinatore)
1° 2° Introduction to Java Programming D Alessandro Gnoatto (Coordinatore)
1° 2° Data Analysis Laboratory with R D Marco Minozzo (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° Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° The fashion lab (1 ECTS) D Angela Broglia (Coordinatore)
1° 2° The fashion lab (2 ECTS) D Angela Broglia (Coordinatore)
1° 2° The fashion lab (3 ECTS) D Angela Broglia (Coordinatore)
1° 2° Methods and tools to support strategic marketing and business management decisions - 2019 D Claudia Bazzani (Coordinatore)
1° 2° Marketing Plan D Ilenia Confente (Coordinatore)
1° 2° Presente e futuro del pianeta D Federico Brunetti (Coordinatore)
1° 2° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° Programming in SAS D Marco Minozzo (Coordinatore)
1° 2° Robo-Ethics D Giorgio Mion (Coordinatore)
1° 2° Univero' - Job Orienteering festival D Paola Signori (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.

Internships


Graduation

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

Gestione carriere


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.