Methods for Fintech and Artificial Intelligence in Finance
Blended Intensive Programme (BIP), September 4-10, 2024 – NaplesInformation
The aim of the BIP is to create an interdisciplinary course on advanced topics in the field of statistics and probability, with applications in the Fintech sector and Artificial Intelligence on key topics included in the UN SDGs.
The programme will enable participants to understand and develop analyses on financial instruments using appropriate techniques. Starting from the theoretical analysis of the technical-conceptual determinants and the regulatory environment of AI, models will be presented and the results of field tests of the experience gained in the adoption of models of the kind will be presented.
The programme aims to provide analytical skills to create, manage and interrogate large datasets applicable to the financial sector and to build critical awareness of current issues in the Fintech landscape. A set of programming tools will facilitate the implementation of models and enable participants to analyse decision-making processes.
Disciplinary Area
For participation in the course, it is preferable to have a previous study background in quantitative studies (mathematics, statistics, economics, data science, computer science). However, it is not compulsory.
Learning and Teaching Methods
The learning method is divided into virtual and face-to-face sessions, focused on case studies of real data management. The learning methodology will combine lectures of the methodologies to practical workshops aimed at implementing the techniques presented on the case studies.
- Number of ECTS credits awarded: 3 CFU
- Main language of teaching/training: English level B2, as described in the ‘European Language Portfolio’ section of the Council of Europe
Registration
Participants are waived of the fee course.
Coffee, snacks, and light lunch will be provided by the host institution while for dinner a couple of partner restaurants will be indicated.
Program
September 2 – online
- 10:30-12:30. AI & FinTech: General introduction to the course with the participation of all the representatives of the partner Institutes/Universities
September 3 – online
- 10:30-12:30. Seminar: Data integration, pre-processing and data fusion in R
September 4 – in presence
September 5 – in presence
- Morning. Methods for dimension reduction and clustering in Fintech surveys
Main topics: Clustering mixed type nominal/ordinal/interval data, Joint dimension reduction and clustering - Evening. Laboratory lectures – supervised tutorial, individual and teamwork
September 6 – in presence
- Morning. Generalized Linear Models for rating data
Main topic: Basic principles of categorical data, Binary data models, Polytomous data models - Morning. Panel data for assessing Fintech, financial inclusion and income per capita
Main topic: Multivariate Regression analysis, Multilevel models - Evening. Laboratory Lectures – supervised tutorial, individual and teamwork
September 7 – in presence
- Morning. Applications of ML in Finance
- Social activities
September 8 – in presence
- Laboratory lectures – supervised tutorial, individual and teamwork
- Social activities
September 9 – in presence
- Morning. Latent variable models for Financial knowledge
Main topics: Latent variables, Classical Test Theory, Item Response Theory, IRT models for polytomous items, Hierarchically Structured Modelling - Evening. Laboratory lectures – supervised tutorial, individual and teamwork
September 10 – in presence
- Morning. Hybrid approach for the analysis of complex data structures
Main topic: Hybrid methods; Implementations of dimension reduction for continuous, polytomous e mixed data, complex categorical structures - Evening. Wrap-up – summary, feedback, alternative methods
October 21 – hybrid (Dainelli room)
- 09:30 Introduction. Maria Iannario
- 09:45 Copula Additive Distributional Regression
Giampiero Marra, Department of Statistical Science, University College London
Rosalba Radice, Bayes Business School City, University of London - 11:00 Presentation of the results of an analysis project by BIP participants
- 12:00 Sustainable Finance: insights and data for an assessment
Rita Cappariello, Bank of Italy - 13:00 Conclusion. BIP2025
Mentors
- Rosa Fabbricatore
- Carla Galluccio
- Valeria Policastro
- Roberto Rondinelli
Program Committee
- MARIA IANNARIO, University of Naples Federico II (proponent and coordinator)
- JORG OSTERRIEDER, University of Twente, Netherlands (Sending institution)
- RONALD HOCHREITER, WU Vienna University, Austria (Sending institution)
- CODRUTA MARE, Babes-Bolyai University in Cluj-Napoca, Romania (Sending institution)
- MARTIN ALEXY, University of Economics, Bratislava (Sending institution)
- IOANNIS NTZOUFRAS, Athens University of Economics and Busines, Greece (Sending institution)
- ANDREAS GROLL, Technische Universität Dortmund
Local Scientific Committee
- MARIA IANNARIO, University of Naples Federico II
- ALFONSO IODICE D’ENZA, University of Naples Federico II
- LUCIO PALAZZO, University of Naples Federico II
- FRANCESCO PALUMBO, University of Naples Federico II
- GIANCARLO RAGOZINI, University of Naples Federico II
- DOMENICO VISTOCCO, University of Naples Federico II
Conference Secretariat
- MARIA GIOVANNA PORZIO, University of Naples Federico II
Mail: maria.iannario@unina.it
Social Events
Thursday 5 September
17:00 – Meeting point: University
A tour of the historic centre amidst ghosts, curiosities, the sacred and the profane
Link: https://www.insolitaguida.it/en/
Friday 6 September
17:30 – Meeting point: University
Concerto https://www.musicaliberatutti.org
Saturday 7 September
14:30 – Meeting point Naples central station
A tour to visit the Herculaneum excavations (cost 40€).
Includes:
– return train ticket
– entrance ticket to the excavations
– guide service
Link: https://ercolano.beniculturali.it/
Sunday 8 September
09:00 – Meeting point Molo Beverello
Visit to the island of Procida (cost 60€).
The cost includes
– Fast boat ticket cost return
– restaurant with full lunch on the island
– guide service
Those interested in all three tours (or at least one of them) can send an email to Roberto Rondinelli
roberto.rondinelli@unina.it by 20 August
Venue
Department of Political Science, University of Naples Federico II
Via Leopoldo Rodinò, 22 – Naples, Italy
http://www.scienzepolitiche.unina.it
- Statistics Laboratory (Aula G4)
Accomodation
Participants can enjoy low-cost accommodation at the hostel. Some suggested hostels:
- Ostello Bello Napoli: https://www.ostellobello.com
- Dante Boutique Rooms: https://www.booking.com/hotel/it/dante-boutique-rooms-napoli.it.html
- Toledo Boutique Rooms: please send to ToledoBoutiqueRooms@gmail.com an email with object BIP_Unina to reserve the room.
- La controra hostel: http://www.lacontrora.com/