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A Dynamic System for Instabilities Prediction

In: ICT for an Inclusive World

Author

Listed:
  • Mohamed Amine ISSAMI

    (Groupe ISCAE)

Abstract

Targeting financial stability has become an important matter for central banks. This objective has considerable impacts on growth and reinforces the economic structure. During the last decades, the financial environment has suffered from different forms of instabilities. Turbulences, crashes, and bubbles are occuring frequently. The ability of modern economies to absorb shocks is questionned since their vulnerability is increasing. This situation is due mainly to the contraction of business cycles, fragility of financial institutions, and corporate debt. Within this scope, volatility clustering in the financial markets has been consistently observed. This paper aims to develop a dynamic system able to detect instantly different instabilities using ABM models. It consists of implementing a strategy-based prevention holistic and integrated.

Suggested Citation

  • Mohamed Amine ISSAMI, 2020. "A Dynamic System for Instabilities Prediction," Lecture Notes in Information Systems and Organization, in: Youcef Baghdadi & Antoine Harfouche & Marta Musso (ed.), ICT for an Inclusive World, pages 591-601, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-34269-2_41
    DOI: 10.1007/978-3-030-34269-2_41
    as

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