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. 2013/2014

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 Sep 23, 2013 Jan 10, 2014
secondo semestre Feb 17, 2014 May 30, 2014
Exam sessions
Session From To
Sessione Invernale Esami Jan 13, 2014 Feb 15, 2014
Sessione Estiva esami Jun 3, 2014 Jul 12, 2014
Sessione Autunnale Esami Aug 25, 2014 Sep 10, 2014
Degree sessions
Session From To
Sessione di Lauree - Novembre Nov 7, 2013 Nov 8, 2013
Sessione di Lauree - Aprile - Verona Apr 9, 2014 Apr 10, 2014
Sessione di Lauree - Settembre Sep 11, 2014 Sep 12, 2014
Holidays
Period From To
Vacanze Natalizie Dec 23, 2013 Jan 4, 2014
Vacanze Estive Aug 11, 2014 Aug 23, 2014

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 L M P R

Berardi Andrea

andrea.berardi@univr.it 045 8425452

Bottiglia Roberto

roberto.bottiglia@univr.it 045 802 8224

Carluccio Emanuele Maria

emanuelemaria.carluccio@univr.it 045 802 8487

Centanni Silvia

silvia.centanni@univr.it 045 8425460

De Mari Michele

michele.demari@univr.it 045 802 8226

Lubian Diego

diego.lubian@univr.it 045 802 8419

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Pichler Flavio

flavio.pichler@univr.it 045 802 8273

Rossi Francesco

francesco.rossi@univr.it 045 8028067

Rutigliano Michele

michele.rutigliano@univr.it 0458028610

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
9
B
(SECS-P/11)
6
B
(SECS-P/01)
9
B
(SECS-S/06)
9
B
(SECS-S/06)
ModulesCreditsTAFSSD
9
C
(SECS-S/06)
6
B
(SECS-P/11)
6
F
(-)

1° Year

ModulesCreditsTAFSSD
9
B
(SECS-P/11)
6
B
(SECS-P/01)
9
B
(SECS-S/06)
9
B
(SECS-S/06)

2° Year

ModulesCreditsTAFSSD
9
C
(SECS-S/06)
6
B
(SECS-P/11)
6
F
(-)
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 dal Sep 23, 2013 al Jan 10, 2014.

Learning outcomes

The goal of the course is to introduce student in modern econometric and time series tools for analyzing and modeling of quantitative financial information.
The course provides students with theoretical and practical knowledge of the statistical and computational skills needed for the creation, implementation, and evaluation of the time series models used by the financial sector to manage risk and develop investment strategies.

Program

1. Prices and stock indexes

2. Stylized facts of financial returns

3. Linear and non-linear models for financial returns

4. Volatility models

5. Elements of forecasting


Suggested textbooks
- G. M. Gallo, B. Pacini, Metodi quantitativi per i mercati finanziari, Carocci, Roma, 2002.
- Bee M., Santi F., Finanza Quantitativa con R, Apogeo, 2013


Types of classes: lectures, seminars and exercises

Examination Methods

Written exam. Oral exam is optional.

Type D and Type F activities

Modules not yet included

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.