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 Sep 28, 2015 Jan 8, 2016
Secondo Semestre Magistrali Feb 22, 2016 Jun 1, 2016
Exam sessions
Session From To
appelli sessione invernale Jan 11, 2016 Feb 13, 2016
appelli sessione estiva Jun 6, 2016 Jul 9, 2016
Appelli sessione autunnale Aug 29, 2016 Sep 16, 2016
Degree sessions
Session From To
sessione autunnale Dec 11, 2015 Dec 18, 2015
sessione invernale Apr 6, 2016 Apr 8, 2016
sessione estiva Sep 13, 2016 Sep 14, 2016
Period From To
vacanze natalizie Dec 23, 2015 Jan 5, 2016
vacanze pasquali Mar 25, 2016 Mar 29, 2016
vacanze estive Aug 8, 2016 Aug 27, 2016

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


Borello Giuliana 045 802 8273

Bottiglia Roberto 045 802 8224

Campolmi Alessia 045 802 8071

Carluccio Emanuele Maria 045 802 8487

Centanni Silvia 045 8425460

De Mari Michele 045 802 8226

Frigo Paolo

Grossi Luigi 045 802 8247

Lubian Diego 045 802 8419

Mariani Francesca 045 8028736

Minozzo Marco 045 802 8234

Oliva Immacolata +39 0458028768

Pichler Flavio 045 802 8273

Renò Roberto 045 802 8526

Rossi Francesco 045 8028067

Rutigliano Michele 0458028610

Scricciolo Catia 045 802 8341

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.

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



Francesco Rossi





Scientific Disciplinary Sector (SSD)



primo semestre dal Sep 28, 2015 al Jan 8, 2016.

Learning outcomes

The course takes place in two parts.

The first part of the course is to provide students with the basic methodologies typical of the Technical Analysis for the study of the evolutionary characteristics of the quotations on the markets in order to develop tactical actions aimed at supporting investments.

The second part of the course develops, in the context of fundamental analysis, the modern theory of portfolio selection of investments with uncertain returns, typically investments in equity securities that the production / marketing of products and / or services. Attention is paid to the study of modeling for the composition of efficient portfolios, the identification of the preferred portfolio and analysis of balance on the capital market.


Part One: Technical Analysis

Purpose descriptive, interpretative, forecasting, management. The system market.
1. The study of graphics for operational purposes
Price dynamic function of time. Dynamics of prices and volumes versus time. Detection of price changes in timeless dimension.
2. Models heuristic quantitative
Moving averages. Oscillators. Processing of historic prices: RSI, DMS, MI, CCI, VHF, ADI, VI. Processing time series of prices and volumes: OBV, ADL, MFI. Processing of historic prices and market indices: SMEs. Processing of series of sets of prices: ADI, ADR, NHNL. The logistics function.
3. Models for taking speculative positions.
Trend-following techniques: systems based on moving averages, Parabolic System, Volatility System, Swing System. Indicators generated from historical price and volume: Ease of Movement Value. Techniques for the management of positions in congested phases: TBPS, RTS, SO, indicators of Williams.
4. From the models depending on operating systems.
Qualification of the current phase of the market, setting the business strategy, estimating the evolutionary potential and the time horizon. Outline of technical neural and fuzzy logic.

Second part: Portfolio theory

1. Choices portfolio.
Markowitz model: No titloli equity analysis with a title and a certain return; analysis with n titloli equity, title to certain performance and the ability to borrow at some cost. Models single index: estimation of Beta, the market model. Models more indices, models average correlation and mixed models.
2. Identification of the optimal portfolio.
Utility functions and investment choices. Empirical evidence of preferred alternatives.
3. Other models of portfolio selection
Optimization of the geometric mean return. The Technical Safety First, the stochastic dominance, the analysis of skewness, the Value at Risk (VaR).
4. Diversification International
The global portfolio. Returns on investments in foreign markets. The risk of foreign securities; returns arising from international diversification; effect of exchange rate risk; models for managing international portfolios.
5. Models of equilibrium in the capital market
The CAPM, non-standard forms of CAPM, APT.
6. Evaluation of the performance of a portfolio
Technical evaluation; Decomposition of the overall assessment; APT and evaluation multi-index performance; analysis of the performance of mutual funds.

For the first part:
M. Pring, Introduction to Technical Analysis, McGraw-Hill, NY, 1998 or JJ Murphy, technical analysis of financial markets, Hoepli, Milano, 2002.
For the second part:
F. Rossi, F. Mantovani, Portfolio theory: diversification of investments and control of the risk-return profile, Monduzzi Editore, Bologna, 2010.

The conduct of the lessons
The lessons, for a total of 60 hours, are held in a classroom equipped with computers and software. Lectures are developed, so even with applications and simulations. There are hours of tutoring in the classroom aimed at support for the use of the software and the preparation of the project work.

Examination Methods

With the help and under the supervision of the teacher, they will be formed study groups of up to 4 students will analyze from 5 to 10 securities / indices over time and produce a paper, project work, to be sent to the teacher via email, for evaluation.
In this project work you will have to make the best use all the techniques, models and methods of analysis svilluppati gradually over and which are the key points of the same.

The part of the project work on the Technical Analysis will be developed, compiled and evaluated by the teacher before 14 November 2014.
The project work in his capacity as full and final will be sent via mail to the teacher for approval at least one week before of the exam where the students involved are concerned. Only after positive evaluation (maximum 4/30) of the project work will be accessible examination.

The project work is part of the methods of active participation of students in the course and is introduced with the aim of:
- Stimulate students to the systematic study and regular matter as they tackle the various issues and then to improve the learning process as methods and models that gradually propose are the foundations on which to develop more complex models and methods that They are proposed in the sequence of lessons;
- Improve the capacity and quality of interpersonal relationships and in particular the work in teams;
- Improve the capacity and quality of presentation / display using patterns and vocabulary typical asset management.
These elements play an important role in professional training and are highly regarded in the labor market.

The exam consists of a written test, two hours, throughout the program, with exercises, an open question, a question of your choice, and possible interview aimed at verifying the depth and breadth of knowledge gained, the properties of language , the ability to connect in systemic form knowledge.

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.


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
Proposte Tesi A. Gnoatto Various topics


Linguistic training CLA

Gestione carriere

Area riservata studenti