Contagion;
Financial crisis;
Markov chain Monte Carlo methods;
Random graph;
Stochastic epidemic model;
STOCHASTIC MULTITYPE EPIDEMICS;
BAYESIAN-INFERENCE;
CONTAGION;
CURRENCY;
MODEL;
TRANSMISSION;
HOUSEHOLDS;
INFECTION;
SYSTEMS;
SPREAD;
D O I:
10.1111/rssa.12044
中图分类号:
O1 [数学];
C [社会科学总论];
学科分类号:
03 ;
0303 ;
0701 ;
070101 ;
摘要:
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.
机构:
Univ Southampton, Southampton Business Sch, Univ Rd, Southampton SO17 1BJ, EnglandUniv Southampton, Southampton Business Sch, Univ Rd, Southampton SO17 1BJ, England
Qin, Weiping
Cho, Sungjun
论文数: 0引用数: 0
h-index: 0
机构:
Univ Manchester, Alliance Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, EnglandUniv Southampton, Southampton Business Sch, Univ Rd, Southampton SO17 1BJ, England
Cho, Sungjun
Hyde, Stuart
论文数: 0引用数: 0
h-index: 0
机构:
Univ Manchester, Alliance Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, EnglandUniv Southampton, Southampton Business Sch, Univ Rd, Southampton SO17 1BJ, England