IDEAS home Printed from https://ideas.repec.org/p/fip/fedgif/1075.html

Asymmetric Information and the Death of ABS CDOs

Author

Listed:

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

  • Daniel O. Beltran & Lawrence R. Cordell & Charles P. Thomas, 2013. "Asymmetric Information and the Death of ABS CDOs," International Finance Discussion Papers 1075, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:1075
    DOI: 10.17016/IFDP.2016.1075r
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econresdata/ifdp/2013/files/ifdp1075r.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.17016/IFDP.2016.1075r?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Marcel Nutz & José A. Scheinkman, 2020. "Shorting in Speculative Markets," Journal of Finance, American Finance Association, vol. 75(2), pages 995-1036, April.
    6. 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.
    7. 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.
    8. Xueer Chen & Chao Wang, 2021. "Information Disclosure in China’s Rising Securitization Market," IJFS, MDPI, vol. 9(4), pages 1-29, December.
    9. Broer, Tobias & Kero, Afroditi, 2021. "Collateralization and asset price bubbles when investors disagree about risk," Journal of Banking & Finance, Elsevier, vol. 128(C).
    10. 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.
    11. Mark T. Plaat & Laura Spierdijk, 2024. "Do Different Bank-Level Securitization Variables Measure The Same Thing? A Confirmatory Factor Analysis," De Economist, Springer, vol. 172(4), pages 339-363, December.
    12. House, Christopher L. & Masatlioglu, Yusufcan, 2015. "Managing markets for toxic assets," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 84-99.
    13. Fu, Michael C. & Li, Bingqing & Li, Fei & Wu, Rongwen, 2025. "Contagion network, portfolio credit risk, and financial crisis," European Journal of Operational Research, Elsevier, vol. 321(3), pages 942-957.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgif:1075. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.