MSCA Network Event - Blended Intensive Program. Methods for Fintech and Artificial Intelligence in Finance, Napl... (1)
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.


Time & Location
21 Oct 2024, 09:30 – 15:00
Napoli, Largo S. Marcellino, 80138 Napoli NA, Italy
About the event
Information
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 CFUMain language of teaching/training:
English, 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
October 21 – hybrid
09:30 Introduction. Maria Iannario
9:45 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
More information available on bip24 - Labstat - Università degli Studi di Napoli Federico II
Please be aware of the AFFINE event : https://www.digital-finance-msca.com/event-details-registration/msca-network-event-advanced-statistical-modelling-for-fintech-financial-inclusion-and-inequality-una-naples-msca
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