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Correlated risks vs contagion in stochastic transition models

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  • Gagliardini, Patrick
  • Gouriéroux, Christian

Abstract

This paper studies the problem of disentangling risk correlation and contagion in a set of individual binary processes. The two admissible values correspond to bad and good risk states of an individual. The risk correlation is captured by introducing a dynamic frailty, whereas the contagion passes through the effect of the lagged number of individuals in the bad risk state. We study carefully the dynamic properties of the joint process. Then, we focus on the limiting case of large populations (portfolios). The difficulty to identify risk correlation and contagion in finite samples is illustrated by means of Monte-Carlo simulations.

Suggested Citation

  • Gagliardini, Patrick & Gouriéroux, Christian, 2013. "Correlated risks vs contagion in stochastic transition models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2241-2269.
  • Handle: RePEc:eee:dyncon:v:37:y:2013:i:11:p:2241-2269 DOI: 10.1016/j.jedc.2013.05.016
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    Cited by:

    1. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, pages 397-411.
    2. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.

    More about this item

    Keywords

    Frailty; Systematic risk; Contagion; INAR model; Granularity adjustment;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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