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Securitization without adverse selection: The case of CLOs

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  • Benmelech, Efraim
  • Dlugosz, Jennifer
  • Ivashina, Victoria

Abstract

In this paper, we investigate whether securitization was associated with risky lending in the corporate loan market by examining the performance of individual loans held by collateralized loan obligations. We employ two different data sets that identify loan holdings for a large set of CLOs and find that adverse selection problems in corporate loan securitizations are less severe than commonly believed. Using a battery of performance tests, we find that loans securitized before 2005 performed no worse than comparable unsecuritized loans originated by the same bank. Even loans originated by the bank that acts as the CLO underwriter do not show under-performance relative to the rest of the CLO portfolio. While some evidence exists of under-performance for securitized loans originated between 2005 and 2007, it is not consistent across samples, performance measures, and horizons. Overall, we argue that the securitization of corporate loans is fundamentally different from securitization of other assets classes because securitized loans are fractions of syndicated loans. Therefore, mechanisms used to align incentives in a lending syndicate are likely to reduce adverse selection in the choice of CLO collateral.

Suggested Citation

  • Benmelech, Efraim & Dlugosz, Jennifer & Ivashina, Victoria, 2012. "Securitization without adverse selection: The case of CLOs," Journal of Financial Economics, Elsevier, vol. 106(1), pages 91-113.
  • Handle: RePEc:eee:jfinec:v:106:y:2012:i:1:p:91-113
    DOI: 10.1016/j.jfineco.2012.05.006
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    References listed on IDEAS

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    1. Dennis, Steven A. & Mullineaux, Donald J., 2000. "Syndicated Loans," Journal of Financial Intermediation, Elsevier, vol. 9(4), pages 404-426, October.
    2. Victoria Ivashina & David Scharfstein, 2010. "Loan Syndication and Credit Cycles," American Economic Review, American Economic Association, vol. 100(2), pages 57-61, May.
    3. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    4. Benmelech, Efraim & Dlugosz, Jennifer, 2009. "The alchemy of CDO credit ratings," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 617-634, July.
    5. Ivashina, Victoria, 2009. "Asymmetric information effects on loan spreads," Journal of Financial Economics, Elsevier, vol. 92(2), pages 300-319, May.
    6. Gupta, Anurag & Singh, Ajai K. & Zebedee, Allan A., 2008. "Liquidity in the pricing of syndicated loans," Journal of Financial Markets, Elsevier, vol. 11(4), pages 339-376, November.
    7. Gorton, Gary B. & Pennacchi, George G., 1995. "Banks and loan sales Marketing nonmarketable assets," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 389-411, June.
    8. Amir Sufi, 2007. "Information Asymmetry and Financing Arrangements: Evidence from Syndicated Loans," Journal of Finance, American Finance Association, vol. 62(2), pages 629-668, April.
    9. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    10. Ivashina, Victoria & Sun, Zheng, 2011. "Institutional stock trading on loan market information," Journal of Financial Economics, Elsevier, vol. 100(2), pages 284-303, May.
    11. Edward I. Altman & Amar Gande & Anthony Saunders, 2010. "Bank Debt versus Bond Debt: Evidence from Secondary Market Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 755-767, June.
    12. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    13. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 307-362.
    14. Joshua Coval & Jakub Jurek & Erik Stafford, 2009. "The Economics of Structured Finance," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 3-25, Winter.
    15. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    16. Ivashina, Victoria & Sun, Zheng, 2011. "Institutional demand pressure and the cost of corporate loans," Journal of Financial Economics, Elsevier, vol. 99(3), pages 500-522, March.
    17. Steven Drucker & Manju Puri, 2009. "On Loan Sales, Loan Contracting, and Lending Relationships," Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2635-2672, July.
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    More about this item

    Keywords

    Structured finance; Collateralized loan obligations (CLOs); CDOs; Syndicated loans;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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