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Quantifying Systemic Risk

Author

Listed:
  • Joseph G. Haubrich
  • Andrew W. Lo

Abstract

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Suggested Citation

  • Joseph G. Haubrich & Andrew W. Lo, 2013. "Quantifying Systemic Risk," NBER Books, National Bureau of Economic Research, Inc, number haub10-1, March.
  • Handle: RePEc:nbr:nberbk:haub10-1
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    Citations

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    Cited by:

    1. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, debt and market structure in an agent-based model of the financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 95-120.
    2. Wilmar Alexander Cabrera Rodríguez & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República - ESPE, vol. 32(75), pages 1-22, December.
    3. Christophe Orazio & Rebeca Cordero Montoya & Margot Régolini & José G. Borges & Jordi Garcia-Gonzalo & Susana Barreiro & Brigite Botequim & Susete Marques & Róbert Sedmák & Róbert Smreček & Yvonne Bro, 2017. "Decision Support Tools and Strategies to Simulate Forest Landscape Evolutions Integrating Forest Owner Behaviour: A Review from the Case Studies of the European Project, INTEGRAL," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-31, April.
    4. Lu Bai & Lixin Cui & Lixiang Xu & Yue Wang & Zhihong Zhang & Edwin R. Hancock, 2019. "Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis," Papers 1910.09153, arXiv.org.
    5. Büyükşahin, Bahattin & Robe, Michel A., 2014. "Speculators, commodities and cross-market linkages," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 38-70.
    6. in ’t Veld, Daan & van Lelyveld, Iman, 2014. "Finding the core: Network structure in interbank markets," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 27-40.
    7. Viral V. Acharya & Hamid Mehran & Anjan V. Thakor, 2016. "Caught between Scylla and Charybdis? Regulating Bank Leverage When There Is Rent Seeking and Risk Shifting," Review of Corporate Finance Studies, Oxford University Press, vol. 5(1), pages 36-75.
    8. Drago Bergholt & Päivi Lujala, 2012. "Climate-related natural disasters, economic growth, and armed civil conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 49(1), pages 147-162, January.
    9. Anufriev, Mikhail & Panchenko, Valentyn, 2015. "Connecting the dots: Econometric methods for uncovering networks with an application to the Australian financial institutions," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 241-255.
    10. De Nicolò, Gianni & Juvenal, Luciana, 2014. "Financial integration, globalization, and real activity," Journal of Financial Stability, Elsevier, vol. 10(C), pages 65-75.
    11. Matteo Serri & Guido Caldarelli & Giulio Cimini, 2016. "How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation," Papers 1611.04311, arXiv.org.
    12. Marcella Lucchetta & Gianni De Nicolo, 2012. "Systemic Real and Financial Risks; Measurement, Forecasting, and Stress Testing," IMF Working Papers 2012/058, International Monetary Fund.
    13. Arinaminpathy, Nimalan & Kapadia, Sujit & May, Robert, 2012. "Size and complexity in model financial systems," Bank of England working papers 465, Bank of England.

    More about this item

    Book Chapters

    The following chapters of this book are listed in IDEAS

    JEL classification:

    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • G2 - Financial Economics - - Financial Institutions and Services

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