Crisis transmission degree measurement under crisis propagation model.

ABSTRACT: In this paper, we propose a new approach to studying the spread of financial crises, their effects, and origins. To do this, an empirical measure of the degree of crisis transmission is introduced in the context of a crisis propagation model that corresponds to a multifactorial switching model with random endogenous transition variable. The latter is modeled as a diffusion process and allows us to determine whether crisis transmission is perfect, partial, or weak and whether it is due to contagion or interdependence effects. In addition, the model takes into account the relative impact of idiosyncratic and global factors in crisis and non-crisis periods, as well as any lag in the crisis transmission process. We used the genetic algorithm as an empirical method, because it uses probabilisti

SUBMITTER: Belghith IB 

PROVIDER: S-EPMC9735107 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature