Face-to-face; 3 days

Wednesday, September 13, 2023

Welcome event

• 14.00. Poster session: participants of the Cost Action CA19130 may present their research. Data analysis collected by VMGs surveys will be the starting point for the discussion on the applied component.
• 14.30. Welcoming speech – Jörg Osterrieder, Chair of the COST Action Fintech and AI in Finance
• 14.45. Introduction of the course (Maria Iannario)
• 15.00. Methods for dimension reduction and clustering in Fintech surveys
  Guest lecture – Angelos Markos, Professor of Data Analysis in the Social Sciences, Democritus University of Thrace
  Main topic: Clustering mixed type nominal/ordinal/interval data, Joint dimension reduction and clustering
• 17.00 Gender differences in the knowledge and use of Fintech products: narrative of a survey
  Lecture, Claudia Tarantola, Professor of Statistics, University of Pavia
• 17.30. Laboratory lectures – supervised tutorials as well as individual and team work
• 19.30 Social programme: Galleria Borbonica – Via delle Memorie
  https://www.galleriaborbonica.com/en/home

Thursday, September 14, 2023

• 9.30. Latent variable models for Financial knowledge
  Guest lecture – Silvia Bacci, Professor of Statistics, University of Florence
  Main topic: Latent variables, Classical Test Theory, Item Response Theory, IRT models for polytomous items
• 13.00. Lunch
• 14.00. Laboratory lectures – supervised tutorials as well as individual and team work
• 19.30 Social dinner

Friday, September 15, 2023

• 9.30. Hybrid approach for the analysis of complex data structures
  Guest Lecture – Alfonso Iodice D’Enza, Professor of Statistics, University of Naples Federico II
  Main topic: Hybrid methods; Implementations of dimension reduction for continuous, polytomous and mixed data, complex categorical structures
• Short lectures
  • 11.30 Complex data structures in Finance
    Lecture Petre Lameski, Professor at University of Sts. Cyril and Methodius in Skopje, Macedonia
  • 12.00. Panel data for assessing FinTech, financial inclusion and income per capita.
    Lecture – Codruta Mare, Professor of Econometrics, Babes-Bolyai University
  • 12.30   Financial education data and projects: the experience of Banca d’Italia.
    Lecture – Rita Cappariello, Bank of Italy
• 13.30. Lunch
• 14.30. Laboratory lectures – supervised tutorials as well as individual and team work
• 16.30. Summary, feedback, alternative methods, wrap-up (Maria Iannario)