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.

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 magistrale in Banca e finanza - Enrollment from 2025/2026

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.

CURRICULUM TIPO:
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S00535

Coordinator

Marco Patacca

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 3, 2022 al Dec 23, 2022.

Learning objectives

The course aims at analyzing the main numerical methods for derivative pricing and risk managment, in particular: - tree methods; - finite differences methods (implicit, explicit, Crank-Nicholson) - Monte Carlo methods. At the end of the course, tudents are able to efficiently implement the previous methods, by using Matlab. Although no formal prerequisites is needed, the knowledge of the topics related to Stochastic Models for Finance and Mathematical Finance is strongly recommended.

Prerequisites and basic notions

Good knowledge of mathematics and statistics.

Good knowledge of the main models of quantitative finance

Program

The course aims at analyzing the main numerical methods for derivative pricing and risk managment, in particular: - tree methods; - finite differences methods (implicit, explicit, Crank-Nicholson) - Monte Carlo methods.
At the end of the course, students are able to efficiently implement the previous methods, by using Matlab. Although no formal prerequisites is needed, the knowledge of the topics related to Stochastic Models for Finance and Mathematical Finance is strongly recommended.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures with the use of Matlab software

Learning assessment procedures

The final exam is a written test: programming exercises and open questions.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Knowledge of the course topics. Ability to apply theory in programming with Matlab software.

Criteria for the composition of the final grade

100% Final exam

Exam language

Italiano