Abstract

The use of Big Data is also increasing in the financial system. The use of Fintech, regtech and suptech has accentuated the need for specific regulation to manage the massive flow of data and also to manage to theorize the possible relationship between information flows and financial stability. Admittedly, the increase in the degree of information in the financial system is capable of reducing the problems of information asymmetry, but this increase will also have negative effects on the resilience of the financial system due to the emergence of new financial risks linked to the use of information and the transformation of possible interpretations of information. In addition, the increase in data in circulation is likely to pose a new problem in relation to the stability of the financial system, especially since decisions will be taken in the light of this information.
Financial decisions based on massive data (Big Data) will be the new challenges in terms of the resilience of financial systems. The development of statistical and econometric tools to drive and monitor this change in information systems is crucially necessary. As such, statistical techniques in the universe of big data must be put in place in order to be able to assess the robustness of the financial system and put in place a new typology of financial regulation to complete those macro and micro prudential.