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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| Periodo generico | Oct 1, 2022 | May 31, 2023 |
| Primo semestre (lauree magistrali) | Oct 3, 2022 | Dec 23, 2022 |
| Secondo semestre (lauree magistrali) | Feb 20, 2023 | May 19, 2023 |
| Session | From | To |
|---|---|---|
| Sessione invernale (lauree magistrali) | Jan 9, 2023 | Feb 17, 2023 |
| Sessione estiva (lauree magistrali) | May 22, 2023 | Jul 7, 2023 |
| Sessione autunnale (lauree magistrali) | Aug 28, 2023 | Sep 22, 2023 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Dec 5, 2022 | Dec 7, 2022 |
| Sessione invernale | Apr 4, 2023 | Apr 6, 2023 |
| Sessione estiva | Sep 5, 2023 | Sep 7, 2023 |
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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
045 802 8224
laura.chiaramonte@univr.it
riccardo.dalberto@univr.it
andrea.mazzon@univr.it
cosimo.munari@univr.it
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.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
Insurance mathematics (2023/2024)
Teaching code
4S003194
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Period
Primo semestre (lauree magistrali) dal Oct 2, 2023 al Dec 22, 2023.
Courses Single
Authorized
Learning objectives
The course will provide students with the mathematical and logical skills needed to address the main actuarial problems in life and non-life insurance, with particular reference to the determination of premiums and reserves as well as the evaluation of profitability and riskiness of insurance portfolios. The course consists of two modules, dedicated to Life and non-Life insurance. During the semester some seminars on selected topics, held by industry experts, will be offered.
Prerequisites and basic notions
Basic notion of financial mathematics, Probability Theory, Statistics
Program
Life Module
1. Basic Knowledge
• Mutuality and Solidarity
• Life insurance products
• Life table
2. Premiums and Reserves
• Net premium, Gross premium
• Technical rate (difference between prudential basis and realistic basis)
• Actuarial values
• Mathematical reserve
• Single premiums, periodic premiums
• Risk premiums and saving premiums
• Surrender values and paid-up values
3. Finance in life insurance
• With-profit policies
4. Profits in a life insurance portfolio
• The total profit
• Mortality/Longevity Risk
• Profit Testing
Non Life Module
1. Basic knowledge
• Basics of insurance business: risk transfer, risk pooling
2. Introduction to non-life insurance
• Non-life insurance coverages and local branches
• Damage and compensation
• Non-life technical indicators
3. Probability and statistics
• Random variables and characteristic functions, moments and central moments, measures of dispersion and shape.
• Truncated and censored random variables
• Probability distributions: Binomial, Negative Binomial, Poisson, Normal, LogNormal, Gamma, Pareto
4. Premium estimation
• Commercial premium
• Empirical and theoretical approaches to estimate pure premium
• Risk and expenses loadings
5. Collective risk theory
• Risk reserve equation, premium and reserve risk, random variable “total amount of claims”
• Compound Poisson process
• Compound mixed Poisson process
6. MVLI Tariffication
• Average commercial premium estimation
• A priori personalization of premium
7. Technical provisions
• Premium and claims provisions
• Deterministic methods to estimate claims reserve
• Stochastic methods to estimate claims reserve
Topics of the seminars:
• Reinsurance
• ALM (Asset and Liability Management)
• Solvency II
Textbooks
Non Life Module:
• Wuthrich, Mario V., Non-Life Insurance: Mathematics & Statistics;
free download in SSRN newtowk at http://ssrn.com/abstract=2319328 or at http://dx.doi.org/10.2139/ssrn.2319328
Life Module:
• Olivieri Annamaria, Pitacco Ermanno: Introduction to Insurance Mathematics – Technical and Financial Features of Risk Transfers, Springer (2011);
http://www.springer.com/mathematics/applications/book/978-3-642-16028-8
Bibliography
Didactic methods
Teaching in class
Learning assessment procedures
The exam consists of a two-hour written test, equally divided between the Non-Life and Life modules.
The structure of the test is as follows:
- two numerical exercises, applying models learnt in the course
The software Microsoft Excel will be used for calculations
- some multiple choice questions and some open questions, aimed at verifying the ownership of language and the ability to systematically link the knowledge gained
During the test the use of personal notes or other teaching material will not be allowed
Exam language
Italiana (English for foreign students)
Type D and Type F activities
SOFT SKILLS
Find out more about the Soft Skills courses for Univr students provided by the University's Teaching and Learning Centre: https://talc.univr.it/it/competenze-trasversali
CONTAMINATION LAB
The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.
Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).
Find out more: https://www.univr.it/clabverona
PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate in the December and April sessions are therefore advised NOT to undertake extracurricular activities in the new academic year in which they are not enrolled, as these graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP | D |
Michele De Mari
(Coordinator)
|
| 1° 2° | The Fashion Lab - 2022/23 | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Economic Thinking and Thesis Writing | D |
Marco Minozzo
(Coordinator)
|
| 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° | 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° | Piano di marketing 2022/23 | D |
Fabio Cassia
(Coordinator)
|
| 1° 2° | Programming in Mathlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Elements of Financial Risk Management - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Soft skills training for economics - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Topics in applied economics and finance - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Experience 3 Days as a Manager | D |
Riccardo Stacchezzini
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The Chartered Accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Integrated Financial Planning 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Introduction to Java programming | D |
Alessandro Gnoatto
(Coordinator)
|
| 1° 2° | Professional Communication for Economics 2022/2023 | D |
Claudio Zoli
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Project "B-EDUCATION: ideas that count" - 1 cfu | D |
Roberto Bottiglia
(Coordinator)
|
| 1° 2° | Project "B-EDUCATION: ideas that count" - 2 cfu | D |
Roberto Bottiglia
(Coordinator)
|
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 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 |
| 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 |
