Training and Research

PhD Programme Courses/classes

This page lists the training activities for the PhD programme for the academic year 2025/2026. Additional activities will be added during the year. Please check back regularly for updates!

Instructions for lecturers: managing lessons

Mathematics

Credits: 7.5

Language: English

Teacher:  Corrado De Vecchi, Andrea Mazzon

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Introduction to Economics

Credits: 5

Language: English

Teacher:  Roberto Ricciuti

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Catia Scricciolo

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Cecilia Mancini

Macroeconomics I

Credits: 7.5

Language: INGLESE

Teacher:  Tamara Fioroni, Alessia Campolmi

Microeconomics I

Credits: 10.5

Language: English

Teacher:  Simona Fiore, Claudio Zoli, Martina Menon

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri, Lorenzo Frattarolo

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Advice to Young Researchers

Credits: 4

Language: English

Teacher:  Marco Piovesan

Job Market Orientation

Credits: 2

Language: English

Teacher:  Simone Quercia

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli, Lidia Ceriani

Development Economics

Credits: 4

Language: Italian

Teacher:  Federico Perali

Financial Mathematics

Credits: 5

Language: Inglese

Teacher:  Alessandro Gnoatto

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile, Paola Bertoli

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto-Ferro

Credits

5

Language

English

Class attendance

Compulsory

Location

VERONA

Learning objectives

The course aims to provide key concepts in microeconomics and macroeconomics to PhD students in Finance. Emphasis will be given to the economic intuition and reasoning.

Prerequisites and basic notions

None

Program

1. Microeconomics
Consumer theory
Firm theory
Markets

2. Macroeconomics
Short-run
Medium-run (AS-AD)
Long-run (Solow model)

Didactic methods

Lectures

Learning assessment procedures

Presentation of a "classic" article from a list provided by the lecturer.

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

Assessment

Clarity of the presentation, ability to convey the economic reasoning.

Criteria for the composition of the final grade

20% Attendance
80% Presentation

Scheduled Lessons

When Classroom Teacher topics
Tuesday 07 October 2025
15:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.06 [SMT.6 - terra] Roberto Ricciuti Microeconomics. Preferences, Utility, Choice
Thursday 09 October 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - Lab SMS.2 (CIDE) [S.48 - interrato] Roberto Ricciuti Consumer behaviour; Demand.
Tuesday 14 October 2025
15:00 - 18:00
Duration: 3:00 AM
To be defined Roberto Ricciuti Producer behavior; costs, perfect competition; monopoly.
Wednesday 15 October 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Roberto Ricciuti Oligopoly; monopolistic competition. Introduction to macroeconomics; IS-LM model; AD-AS model
Monday 20 October 2025
11:00 - 13:00
Duration: 2:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Roberto Ricciuti The simple model of price stickiness. The partial model of price stickiness. Comparing the effects of a shock in neoclassical, simple, and partial stickiness models. The IL-LM-AS-AD model.
Tuesday 21 October 2025
14:00 - 16:00
Duration: 2:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Roberto Ricciuti Long-run macroeconomics: Kaldor Facts and the Solow growth model.
Monday 27 October 2025
11:00 - 13:00
Duration: 2:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra] Roberto Ricciuti Comparative statics in the Solow growth model: Convergence; endogenous growth.
Tuesday 28 October 2025
11:00 - 13:00
Duration: 2:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Roberto Ricciuti Revision