Wednesday, 20th November 2019

MFSA, Triq l-Imdina, Zone 1 Central Business District, Birkirkara CBD 1010

Overview


The MFSA is once again joining forces with FinTech-ho-2020, to host a second workshop on Wednesday 20th November 2019 between 0900hrs and 1700hrs.

Following the first workshop which tackled the measurement of the risks associated with peer-to-peer lending, this second workshop will focus on the measurement of market risks and other risks related to robot advisory algorithmic trading, with the aim of improving their sustainability. FinTech-ho-2020 are developing social network models, which are AI-explainable and can capture the networking component arising from the large number of financial assets being traded and invested together, hence improving the predictive performance and reducing market portfolio risks for the users.

The objectives of this workshop are to:

  • explore the interrelation between AI, Market Risk and Robo Advisory;
  • present and discuss the underpinnings of a use case and the ways that such models can be used in the increasingly technology-driven financial market landscape.

FinTechs, traders, traditional financial industry players, academics and other parties interested in leveraging on such predictive research efforts, ideally with a background in statistics, econometrics, finance and/or AI, are invited to attend this workshop.

About FinTech-ho-2020 Project


A financial supervision and technology compliance training programme between a consortium of Universities & Research Centres, FinTech Hubs & Associations and Regulators & Supervisors, who research, develop and disseminate fintech risk management models. For more information about this project click here.

Speakers


Professor of Statistics in Economics and Finance

Paolo Giudici

Paolo Giudici is a Professor of statistics and data science at the Department of Economics and Management of the University of Pavia. He also serves as director of the University of Pavia Fintech Laboratory which carries out research, training and consulting projects, for both public and private institutions, while consulting companies and telecom companies. Giudici coordinates 11 funded scientific projects, including the European Horizon 2020 project, FinTech-ho-2020.

Researcher - Statistics and Financial Data Science

Paolo Pagnottoni

Paolo Pagnottoni is a Researcher in Statistics and Data Science at the University of Pavia. He has consulting experience in the banking Industry and is skilled in statistical and econometric modelling, with a background in programming. His main areas of interest range from data science and analysis, and financial econometrics to cryptocurrency markets, pricing and company valuation.

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