On the epidemic of financial crises
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 approache...
| Main Authors: | , , |
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| Format: | Article |
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Wiley
2014
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| Online Access: | https://eprints.nottingham.ac.uk/47113/ |
| _version_ | 1848797470192041984 |
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| author | Demiris, Nikolaos Kypraios, Theodore Smith, Lynette Vanessa |
| author_facet | Demiris, Nikolaos Kypraios, Theodore Smith, Lynette Vanessa |
| author_sort | Demiris, Nikolaos |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:04:23Z |
| format | Article |
| id | nottingham-47113 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:04:23Z |
| publishDate | 2014 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-471132020-05-04T16:47:44Z https://eprints.nottingham.ac.uk/47113/ On the epidemic of financial crises Demiris, Nikolaos Kypraios, Theodore Smith, Lynette Vanessa 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. Wiley 2014-05-21 Article PeerReviewed Demiris, Nikolaos, Kypraios, Theodore and Smith, Lynette Vanessa (2014) On the epidemic of financial crises. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177 (3). pp. 697-723. ISSN 1467-985X Contagion; Financial crisis; Markov chain Monte Carlo methods; Random graph;Stochastic epidemic model http://onlinelibrary.wiley.com/doi/10.1111/rssa.12044/abstract doi:10.1111/rssa.12044 doi:10.1111/rssa.12044 |
| spellingShingle | Contagion; Financial crisis; Markov chain Monte Carlo methods; Random graph;Stochastic epidemic model Demiris, Nikolaos Kypraios, Theodore Smith, Lynette Vanessa On the epidemic of financial crises |
| title | On the epidemic of financial crises |
| title_full | On the epidemic of financial crises |
| title_fullStr | On the epidemic of financial crises |
| title_full_unstemmed | On the epidemic of financial crises |
| title_short | On the epidemic of financial crises |
| title_sort | on the epidemic of financial crises |
| topic | Contagion; Financial crisis; Markov chain Monte Carlo methods; Random graph;Stochastic epidemic model |
| url | https://eprints.nottingham.ac.uk/47113/ https://eprints.nottingham.ac.uk/47113/ https://eprints.nottingham.ac.uk/47113/ |