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.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Economia e commercio - Enrollment from 2025/2026The 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
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2° Year activated in the A.Y. 2021/2022
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3° Year activated in the A.Y. 2022/2023
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2 modules to be chosen among the following
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2 modules to be chosen among the following
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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.
Financial Market Models (2022/2023)
Teaching code
4S008962
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Period
Secondo semestre (lauree) dal Feb 20, 2023 al May 31, 2023.
Learning objectives
The objectives of the course are the introduction of advanced quantitative models for finance.
The course the main concepts underlying advanced asset valuation, and in particular of portfolio management.
At the end of the course, the student is expected to be able to perform operations involving the financial instruments explained in class, and to understand the theoretical ideas illustrated in the course.
While not being a mandatory prerequisite, the previous attendance to the course Financial Mathematics is strongly recommended.
Prerequisites and basic notions
The previous attendance to the course Financial Mathematics is strongly recommended.
Program
- Basic notions on portfolio theory. Portfolio risk and return. Volatility and return estimates based on historical data.
- Stochastic dominance and criteria for evaluating the performance of a portfolio. Expected utility: how to build a utility function. Certain equivalent, risk aversion.
- Value at Risk and Expected shortfall;
- Constrained optimization; dynamic optimization (hints).
- Markowitz portfolio theory. CAPM. Criticisms of Markowitz's theory.
- Resampling
Bibliography
Didactic methods
The course consists of 48 classroom hours.
Learning assessment procedures
The final exam is a written test.
Evaluation criteria
The written test includes multiple choice questions and exercises.
Criteria for the composition of the final grade
The final grade is given by the result obtained in the written test. No mid-exams are planned.
Exam language
Italiano