Training and Research

PhD Programme Courses/classes

This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!

Instructions for teachers: lesson management

Introduction to Economics

Credits: 5

Language: English

Teacher:  Roberto Ricciuti

Mathematics

Credits: 3.8

Language: English

Teacher:  Andrea Mazzon

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Lorenzo Frattarolo, Claudia Di Caterina

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Chiara Amorino, Amorino Chiara, Cecilia Mancini

Macroeconomics I

Credits: 7.5

Language: English

Teacher:  Khalid W A Shomali, Alessia Campolmi

Microeconomics 1

Credits: 7.5

Language: English

Teacher:  Claudio Zoli, Martina Menon, Maurizio Malpede

Field Experiments

Credits: 1

Language: Italian

Teacher:  Pol Campos

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Elements of Financial Risk Management

Credits: 2.5

Language: English

Teacher:  Prof. Kim Christensen

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri

Job Market Orientation

Credits: 1

Language: English

Teacher:  Simone Quercia

Advice to Young Researchers

Credits: 4

Language: English

Teacher:  Marco Piovesan

Finanza Matematica

Credits: 5

Language: English

Teacher:  Guido Gazzani, Alessandro Gnoatto

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto Ferro

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile

Development economics

Credits: 4

Language: English

Teacher:  Federico Perali

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli

Quantitative research methods

Credits: 6.8

Language: English

Teacher:  Luca Grassetti, Francesca Visintin, Laura Pagani

Credits

5

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course covers recent developments in stochastic processes in the field of finance, with a particular focus on Markov processes. In the first part of the course, students will become familiar with Markov processes and the related mathematical techniques. The second part will address the main applications of Markov processes in finance.

Didactic methods

Frontal teaching.

Scheduled Lessons

When Classroom Teacher topics
Wednesday 23 April 2025
09:30 - 13:30
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Sara Svaluto Ferro TBA
Tuesday 29 April 2025
09:30 - 12:30
Duration: 3:00 AM
Polo Santa Marta - LAB.SMS.4 - Aula Informatica [LAB.SMS.4 - sotterraneo] Sara Svaluto Ferro TBA
Wednesday 30 April 2025
14:00 - 15:00
Duration: 1:00 AM
Polo Santa Marta - SMT.08 [SMT.8 - terra] Sara Svaluto Ferro TBA
Tuesday 13 May 2025
09:30 - 13:30
Duration: 4:00 AM
Polo Santa Marta - LAB.SMS.1 [LAB.SMS.1 - sotterraneo] Sara Svaluto Ferro TBA
Tuesday 20 May 2025
09:30 - 13:30
Duration: 4:00 AM
Polo Santa Marta - LAB.SMS.1 [LAB.SMS.1 - sotterraneo] Sara Svaluto Ferro TBA
Tuesday 27 May 2025
09:30 - 13:30
Duration: 4:00 AM
Polo Santa Marta - SMT.10 [SMT.10 - terra] Sara Svaluto Ferro TBA