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Systematic and Liquidity Risk in Subprime-Mortgage Backed Securities

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  • Mardi Dungey
  • Gerald P. Dwyer
  • Thomas Flavin

Abstract

The misevaluation of risk in securitized financial products is central to understanding the Financial Crisis of 2007-2008. This paper characterizes the evolution of factors affecting collateralized debt obligations (CDOs) based on subprime mortgages. A key feature of subprime-mortgage backed indices is that they are distinct in their vintage of issuance. Using a latent factor framework that incorporates this vintage effect, we show the increasing importance of a common factor on more senior tranches during the crisis. We examine this common factor and its relationship with spreads. We estimate the effects on the common factor of the financial crisis.

Suggested Citation

  • Mardi Dungey & Gerald P. Dwyer & Thomas Flavin, 2011. "Systematic and Liquidity Risk in Subprime-Mortgage Backed Securities," CAMA Working Papers 2011-30, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2011-30
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    Cited by:

    1. Mardi Dungey & Matteo Luciani & David Veredas, 2012. "Ranking Systemically Important Financial Institutions," Tinbergen Institute Discussion Papers 12-115/IV/DSF44, Tinbergen Institute.
    2. Sangyeon Hwang & Hyejoon Im, 2017. "International Trade Finance and Exports: Evidence from Korean Bank-Intermediated Trade Finance Instruments," Open Economies Review, Springer, vol. 28(2), pages 319-346, April.
    3. Flavin, Thomas J. & Sheenan, Lisa, 2015. "The role of U.S. subprime mortgage-backed assets in propagating the crisis: Contagion or interdependence?," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 167-186.
    4. Gianluca Marcato, 2018. "Liquidity Pricing of Illiquid Assets," ERES eres2018_215, European Real Estate Society (ERES).
    5. Fredj Jawadi & Abdoulkarim Idi Cheffou & Nabila Jawadi, 2016. "Do Islamic and Conventional Banks Really Differ? A Panel Data Statistical Analysis," Open Economies Review, Springer, vol. 27(2), pages 293-302, April.
    6. Dungey, Mardi & Luciani, Matteo & Veredas, David, 2018. "Systemic risk in the US: Interconnectedness as a circuit breaker," Economic Modelling, Elsevier, vol. 71(C), pages 305-315.
    7. Alessandro Flamini & Costas Milas, 2014. "Open-economy Distribution Forecast Targeting, Macroeconomic Volatility and Financial Implication," DEM Working Papers Series 080, University of Pavia, Department of Economics and Management.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G01 - Financial Economics - - General - - - Financial Crises
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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