On the Epidemic of Financial Crises. (17th December 2013)

• Record Type: Journal Article
• Authors: Demiris, Nikolaos; Kypraios, Theodore; Vanessa Smith, L.
• Is Part Of: Journal of the Royal Statistical Society. Volume 177:Number 3(2014:Sep.)
• Page Start: 697
• Page End: 723
• Publication Date: 2013-12-17
• Subjects: Contagion -- Financial crisis; Markov chain Monte Carlo methods -- Random graph -- Stochastic epidemic model; Social sciences -- Statistical methods -- Periodicals; Statistics -- Periodicals; 300.15195
• DOI: 10.1111/rssa.12044
• Languages: English
• ISSNs: 0964-1998

Abstract

Summary: The paper proposes a framework for modelling financial contagion that is based on susceptible–infected–recovered transmission models from epidemic theory. This class of models addresses two important features of contagion modelling, which are a common shortcoming of most existing empirical approaches, namely the direct modelling of the inherent dependences that are involved in the transmission mechanism, and an associated canonical measure of crisis severity. The methodology proposed naturally implies a control mechanism, which is required when evaluating prospective immunization policies that intend to mitigate the effect of a crisis. It can be implemented not only as a way of learning from past experiences, but also at the onset of a contagious financial crisis. The approach is illustrated on a number of currency crisis episodes, using both historical final outcome and temporal data. The latter require the introduction of a novel hierarchical model that we call the hidden epidemic model and which embeds the stochastic financial epidemic as a latent process. The empirical results suggest, among others, an increasing trend for global transmission of currency crises over time.