Affine 2023 Schedule

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

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)