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

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Development economics

Credits: 4

Language: English

Teacher:  Federico Perali

Matematica Finanziaria

Credits: 5

Language: English

Teacher:  Guido Gazzani, Alessandro Gnoatto

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Quantitative research methods

Credits: 6.8

Language: English

Teacher:  Luca Grassetti, Francesca Visintin, Laura Pagani

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto Ferro

Credits

5

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course deals with continuous-time stochastic control problems and presents their applications in the field of finance. Topics covered include the maximum principle and dynamic programming, free boundary problems, optimal control and backward stochastic equations, numerical approximation, differential games.

Prerequisites and basic notions

Stochastic calculus, ordinary and partial differential equations. Basics of numerical analysis.

Program

Introduction to stochastic optimal control in continuous time;
Maximum Principle;
Dynamic Programming Principle;
Optimal Control and backward stochastic differential equations;
Numerical approximation;
Free boundary problems, constrained problems.

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

Frontal teaching.

Learning assessment procedures

Oral presentation

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

Assessment

It will be evaluated the ability of the student to apply the presented techniques to solve optimal control problems.

Criteria for the composition of the final grade

Evaluation of the presentation

Scheduled Lessons

When Classroom Teacher topics
Tuesday 28 January 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Athena Picarelli From optimisation to optimal control. Main definitions. Euler-Lagrange equations. Pontryagin maximum principle.
Tuesday 04 February 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Athena Picarelli Proof of the Pontryagin Maximum Principle. Generalities on backward stochastic differential equations.
Wednesday 05 February 2025
09:30 - 11:30
Duration: 2:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Athena Picarelli Dynamic programming principle and Hamilton-Jacobi-Bellman equation
Tuesday 11 February 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Athena Picarelli Viscosity solutions to HJB equation and comparison principle
Wednesday 12 February 2025
09:30 - 11:30
Duration: 2:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Athena Picarelli Other optimal control problems: infinite horizon, optimal stopping, problems with exit times, state constrained problems.
Tuesday 18 February 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Athena Picarelli Impulsive optimal control problems. About the link between optimal control and BSDEs.
Wednesday 19 February 2025
09:30 - 11:30
Duration: 2:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Athena Picarelli The martingale method for solving optimal investment problems. Example. Numerical methods for optimal control.
Wednesday 26 February 2025
09:30 - 11:30
Duration: 2:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1]