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Contagion phenomena with applications in finance

Author

Listed:
  • Serge Darolles

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Christian Gourieroux

    (Department of Economics - University of Toronto)

Abstract

Much research into financial contagion and systematic risks has been motivated by the finding that cross-market correlations (resp. coexceedances) between asset returns increase significantly during crisis periods. Is this increase due to an exogenous shock common to all markets (interdependence) or due to certain types of transmission of shocks between markets (contagion)?Darolles and Gourieroux explain that an attempt to convey contagion and causality in a static framework can be flawed due to identification problems; they provide a more precise definition of the notion of shock to strengthen the solution within a dynamic framework.This book covers the standard practice for defining shocks in SVAR models, impulse response functions, identitification issues, static and dynamic models, leading to the challenges of measurement of systematic risk and contagion, with interpretations of hedge fund survival and market liquidity risks.

Suggested Citation

  • Serge Darolles & Christian Gourieroux, 2015. "Contagion phenomena with applications in finance," Post-Print hal-02571861, HAL.
    • Handle: RePEc:hal:journl:hal-02571861
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    Citations

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    Cited by:

    1. Gouriéroux, C. & Monfort, A. & Renne, J.-P., 2022. "Required Capital for Long-Run Risks," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    2. Vikkram Singh & Homayoun Shirazi & Jessica Turetken, 2022. "The COVID-19 Era—Influencers of Uneven Sector Performance: A Canadian Perspective," Economies, MDPI, vol. 10(2), pages 1-24, February.
    3. Raisul Islam & Vladimir Volkov, 2022. "Contagion or interdependence? Comparing spillover indices," Empirical Economics, Springer, vol. 63(3), pages 1403-1455, September.
    4. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.

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