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Multi-Agent Financial Network (MAFN) Model of US Collateralized Debt Obligations (CDO): Regulatory Capital Arbitrage, Negative CDS Carry Trade and Systemic Risk Analysis

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  • Sheri M. Markose

    ()

  • Bewaji Oluwasegun
  • Simone Giansante

Abstract

A database driven multi-agent model has been developed with automated access to US bank level FDIC Call Reports which yield data on balance sheet and off balance sheet activity, respectively, in Residential Mortgage Backed Securities (RMBS) and Credit Default Swaps (CDS). The simultaneous accumulation of RMBS assets on US banks� balance sheets and also large counterparty exposures from CDS positions characterized the $2 trillion Collateralized Debt Obligation (CDO) market. The latter imploded by end of 2007 with large scale systemic risk consequences. Based on US FDIC bank data, that could have been available to the regulator at the time, we investigate how a CDS negative carry trade combined with incentives provided by Basel II and its precursor in the US, the Joint Agencies Rule 66 Federal Regulation No. 56914 which became effective on January 1, 2002, on synthetic securitization and credit risk transfer (CRT), led to the unsustainable trends and systemic risk. The resultant market structure with heavy concentration in CDS activity involving 5 US banks can be shown to present too interconnected to fail systemic risk outcomes. The simulation package can generate the financial network of obligations of the US banks in the CDS market. We aim to show how such a multi-agent financial network (MAFN) model is well suited to monitor bank activity and to stress test policy for perverse incentives on an ongoing basis.

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Paper provided by University of Essex, Department of Economics in its series Economics Discussion Papers with number 714.

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Date of creation: 01 Mar 2012
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Handle: RePEc:esx:essedp:714

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  1. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
  2. Sheri M. Markose, 2004. "Computability and Evolutionary Complexity: Markets As Complex Adaptive Systems (CAS)," Economics Discussion Papers 574, University of Essex, Department of Economics.
  3. Gary Gorton & Andrew Metrick, 2010. "Securitized Banking and the Run on Repo," NBER Chapters, in: Market Institutions and Financial Market Risk National Bureau of Economic Research, Inc.
  4. Deng, Yongheng & Gabriel, Stuart A. & Sanders, Anthony B., 2011. "CDO market implosion and the pricing of subprime mortgage-backed securities," Journal of Housing Economics, Elsevier, vol. 20(2), pages 68-80, June.
  5. Upper, Christian & Worms, Andreas, 2004. "Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?," European Economic Review, Elsevier, vol. 48(4), pages 827-849, August.
  6. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
  7. Markose, Sheri & Giansante, Simone & Shaghaghi, Ali Rais, 2012. "‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 627-646.
  8. Sheri Markose & Simone Giansante & Mateusz Gatkowski & Ali Rais Shaghaghi, 2010. "Too Interconnected To Fail: Financial Contagion and Systemic Risk In Network Model of CDS and Other Credit Enhancement Obligations of US Banks," Working Papers 033, COMISEF.
  9. Sheri M. Markose, 2012. "Systemic Risk from Global Financial Derivatives," IMF Working Papers 12/282, International Monetary Fund.
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