IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2011-05.html
   My bibliography  Save this paper

Differences across originators in CMBS loan underwriting

Author

Listed:

Abstract

Differences in the organizational structure of CMBS loan originators may reflect differences in the incentives they face for underwriting risky loans. We treat an originator's type--that is, commercial bank, investment bank, insurance company, finance company, conduit lender, or foreign-owned entity--as a proxy for incentives related to warehousing risk, balance sheet lending, and regulatory constraints. After controlling for observable credit characteristics of over 30,000 loans securitized into CMBS after 1999, we find considerable differences in loan performance across originator types. The results suggest that moral hazard--captured by lack of warehousing risk-negatively affected the quality of loans underwritten by conduit lenders. On the other hand, despite opportunities for adverse selection, balance sheet lenders--commercial banks, insurance companies and finance companies--actually underwrote higher quality loans.

Suggested Citation

  • Lamont K. Black & Chenghuan Sean Chu & Andrew M. Cohen & Joseph B. Nichols, 2011. "Differences across originators in CMBS loan underwriting," Finance and Economics Discussion Series 2011-05, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2011-05
    as

    Download full text from publisher

    File URL: http://www.federalreserve.gov/pubs/feds/2011/201105/201105abs.html
    Download Restriction: no
    File URL: http://www.federalreserve.gov/pubs/feds/2011/201105/201105pap.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wayne R. Archer & Peter J. Elmer & David M. Harrison & David C. Ling, 2002. "Determinants of Multifamily Mortgage Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(3), pages 445-473.
    2. Kerry D. Vandell, 1992. "Predicting Commercial Mortgage Foreclosure Experience," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(1), pages 55-88, March.
    3. Kerry D. Vandell & Walter Barnes & David Hartzell & Dennis Kraft & William Wendt, 1993. "Commercial Mortgage Defaults: Proportional Hazards Estimation Using Individual Loan Histories," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(4), pages 451-480, December.
    4. Keys, Benjamin J. & Mukherjee, Tanmoy & Seru, Amit & Vig, Vikrant, 2009. "Financial regulation and securitization: Evidence from subprime loans," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 700-720, July.
    5. Brian A. Ciochetti & Kerry D. Vandell, 1999. "The Performance of Commercial Mortgages," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(1), pages 27-61, March.
    6. Ciochetti, Brian A. & Deng, Yongheng & Lee, Gail & Shilling, James D. & Yao, Rui, 2003. "A Proportional Hazards Model of Commercial Mortgage Default with Originator Bias," The Journal of Real Estate Finance and Economics, Springer, vol. 27(1), pages 5-23, July.
    7. An, Xudong & Deng, Yongheng & Gabriel, Stuart A., 2011. "Asymmetric information, adverse selection, and the pricing of CMBS," Journal of Financial Economics, Elsevier, vol. 100(2), pages 304-325, May.
    8. 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, President and Fellows of Harvard College, vol. 125(1), pages 307-362.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun Chen & Yongheng Deng, 2013. "Commercial Mortgage Workout Strategy and Conditional Default Probability: Evidence from Special Serviced CMBS Loans," The Journal of Real Estate Finance and Economics, Springer, vol. 46(4), pages 609-632, May.
    2. Lamont Black & John Krainer & Joseph Nichols, 2017. "From Origination to Renegotiation: A Comparison of Portfolio and Securitized Commercial Real Estate Loans," The Journal of Real Estate Finance and Economics, Springer, vol. 55(1), pages 1-31, July.
    3. Xudong An & Yongheng Deng & Joseph Nichols & Anthony Sanders, 2013. "Local Traits and Securitized Commercial Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 47(4), pages 787-813, November.
    4. Grovenstein, Robert A. & Harding, John P. & Sirmans, C.F. & Thebpanya, Sansanee & Turnbull, Geoffrey K., 2005. "Commercial mortgage underwriting: How well do lenders manage the risks?," Journal of Housing Economics, Elsevier, vol. 14(4), pages 355-383, December.
    5. Driessen, Joost & Van Hemert, Otto, 2012. "Pricing of commercial real estate securities during the 2007–2009 financial crisis," Journal of Financial Economics, Elsevier, vol. 105(1), pages 37-61.
    6. Deng, Yongheng & Quigley, John M. & Sanders, Anthony B., 2006. "Commercial Mortgage-backed Securities (CMBS) Terminations, Regional and Property-Type Risk," Working Paper Series 2006-24, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    7. Sumit Agarwal & Yongheng Deng & Jia He & Yonglin Wang & Qi Zhang, 2023. "Lenders’ pricing strategy: Do neighborhood risks matter?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(4), pages 1011-1047, July.
    8. Tracey Seslen & William C. Wheaton, 2005. "Contemporaneous Loan Stress and Termination Risk in the CMBS pool: how "Ruthless" is default?," Working Paper 8582, USC Lusk Center for Real Estate.
    9. Agarwal, Sumit & Chang, Yan & Yavas, Abdullah, 2012. "Adverse selection in mortgage securitization," Journal of Financial Economics, Elsevier, vol. 105(3), pages 640-660.
    10. An, Xudong & Deng, Yongheng & Gabriel, Stuart A., 2011. "Asymmetric information, adverse selection, and the pricing of CMBS," Journal of Financial Economics, Elsevier, vol. 100(2), pages 304-325, May.
    11. Fabio Panetta & Alberto Franco Pozzolo, 2018. "Why do banks securitise their assets? Bank-level evidence from over one hundred countries in the pre-crisis period," Temi di discussione (Economic working papers) 1183, Bank of Italy, Economic Research and International Relations Area.
    12. Andrew Felton & Joseph B Nichols, 2012. "Welcome remarks," BIS Papers chapters, in: Bank for International Settlements (ed.), Commercial real estate loan performance at failed US banks, volume 64, pages 19-24, Bank for International Settlements.
    13. Gene Amromin & Jennifer Huang & Clemens Sialm & Edward Zhong, 2018. "Complex Mortgages [Why don’t lenders renegotiate more home mortgages? Redefaults, self-cures, and securitization]," Review of Finance, European Finance Association, vol. 22(6), pages 1975-2007.
    14. An, Xudong & Deng, Yongheng & Sanders, Anthony B., 2006. "Subordinations Levels in Structured Financing," Working Paper Series 2006-18, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    15. Tracey Seslen & William C. Wheaton, 2010. "Contemporaneous Loan Stress and Termination Risk in the CMBS Pool: How “Ruthless” is Default?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(2), pages 225-255, June.
    16. Youngha Cho & Soosung Hwang & Steve Satchell, 2012. "The Optimal Mortgage Loan Portfolio in UK Regional Residential Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 645-677, October.
    17. Hoon Cho & Brian Ciochetti & James Shilling, 2013. "Are Commercial Mortgage Defaults Affected by Tax Considerations?," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 1-23, January.
    18. Lamont Black & Chenghuan Chu & Andrew Cohen & Joseph Nichols, 2012. "Differences Across Originators in CMBS Loan Underwriting," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 115-134, October.
    19. Yildiray Yildirim, 2008. "Estimating Default Probabilities of CMBS Loans with Clustering and Heavy Censoring," The Journal of Real Estate Finance and Economics, Springer, vol. 37(2), pages 93-111, August.
    20. Eichholtz, Piet & Ongena, Steven & Simeth, Nagihan & Yönder, Erkan, 2023. "Banks, non-banks, and the incorporation of local information in CMBS loan pricing," Journal of Banking & Finance, Elsevier, vol. 154(C).

    More about this item

    Keywords

    Mortgage-backed securities; Moral hazard;

    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:fedgfe:2011-05. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.