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Asymmetric information and the death of ABS CDOs

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  • Beltran, Daniel O.
  • Cordell, Larry
  • Thomas, Charles P.

Abstract

A key feature of the 2007 financial crisis is that for many securities trading had ceased; where trading did occur, market prices were well below intrinsic values, especially for ABS CDOs. One explanation is that information had been asymmetric, with sellers having better information than buyers. We first show the information advantages sellers had over buyers in both the issuance of CDOs and, through vertical integration, performance of the CDO collateral that could well have disrupted trading after the onset of the crisis. Using a “workhorse” model for pricing securities under asymmetric information and a novel dataset, we show how adverse selection could explain why the bulk of these securities either traded at significant discounts or did not trade at all.

Suggested Citation

  • Beltran, Daniel O. & Cordell, Larry & Thomas, Charles P., 2017. "Asymmetric information and the death of ABS CDOs," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 1-14.
    • Handle: RePEc:eee:jbfina:v:76:y:2017:i:c:p:1-14
    DOI: 10.1016/j.jbankfin.2016.11.008
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    Cited by:

    1. van der Plaat, Mark T., 2021. "How to Measure Securitization: A Structural Equation Approach," MPRA Paper 109735, University Library of Munich, Germany.
    2. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    3. Broer, Tobias, 2016. "Securitisation Bubbles: Structured finance with disagreement about default correlations," CEPR Discussion Papers 11145, C.E.P.R. Discussion Papers.
    4. Figueroa, Nicolás & Leukhina, Oksana & Ramírez, Carlos, 2021. "Imperfect information transmission from banks to investors: Macroeconomic implications," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 87-98.
    5. House, Christopher L. & Masatlioglu, Yusufcan, 2015. "Managing markets for toxic assets," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 84-99.
    6. Marcel Nutz & José A. Scheinkman, 2020. "Shorting in Speculative Markets," Journal of Finance, American Finance Association, vol. 75(2), pages 995-1036, April.
    7. Svatopluk Kapounek, 2017. "The Impact of Institutional Quality on Bank Lending Activity: Evidence from Bayesian Model Averaging," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(5), pages 372-395, October.
    8. van der Plaat, Mark, 2020. "Loan sales and the tyranny of tistance in U.S. residential mortgage lending," MPRA Paper 107519, University Library of Munich, Germany, revised 20 Apr 2021.
    9. Xueer Chen & Chao Wang, 2021. "Information Disclosure in China’s Rising Securitization Market," IJFS, MDPI, vol. 9(4), pages 1-29, December.
    10. Broer, Tobias & Kero, Afroditi, 2021. "Collateralization and asset price bubbles when investors disagree about risk," Journal of Banking & Finance, Elsevier, vol. 128(C).
    11. van der Plaat, Mark & Spierdijk, Laura, 2020. "Recourse, asymmetric information, and credit risk over the business cycle," MPRA Paper 104718, University Library of Munich, Germany.

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    More about this item

    Keywords

    CDO; Securitization; Asymmetric; Lemons;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

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