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:
Bachelor's degree in Economics and Business - 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. 2025/2026
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3° Year It will be activated in the A.Y. 2026/2027
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2 modules among the following| Modules | Credits | TAF | SSD |
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2 modules among the following| Modules | Credits | TAF | SSD |
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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 (2026/2027)
Teaching code
4S008962
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Courses Single
Authorized
The teaching is organized as follows:
Parte 1
Credits
4
Period
Secondo semestre L
Academic staff
Not yet assigned
Parte 2
Credits
2
Period
Secondo semestre L
Academic staff
Not yet assigned
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.