IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v37y2008i2p93-111.html
   My bibliography  Save this article

Estimating Default Probabilities of CMBS Loans with Clustering and Heavy Censoring

Author

Listed:
  • Yildiray Yildirim

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:jrefec:v:37:y:2008:i:2:p:93-111
    DOI: 10.1007/s11146-007-9046-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11146-007-9046-6
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Bolstad W. M & Manda S. O, 2001. "Investigating Child Mortality in Malawi Using Family and Community Random Effects: A Bayesian Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 12-19, March.
    3. Brian A. Ciochetti & Yongheng Deng & Bin Gao & Rui Yao, 2002. "The Termination of Commercial Mortgage Contracts through Prepayment and Default: A Proportional Hazard Approach with Competing Risks," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(4), pages 595-633.
    4. Yongheng Deng & John M. Quigley & Robert Van Order, 2000. "Mortgage Terminations, Heterogeneity and the Exercise of Mortgage Options," Econometrica, Econometric Society, vol. 68(2), pages 275-308, March.
    5. 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.
    6. 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.
    7. Duolao Wang & Mike Murphy, 1998. "Use of a mixture model for the analysis of contraceptive-use duration among long-term users," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(3), pages 319-332.
    8. Andreas D. Christopoulos & Robert A. Jarrow & Yildiray Yildirim, 2008. "Commercial Mortgage-Backed Securities (CMBS) and Market Efficiency with Respect to Costly Information," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 441-498, September.
    9. 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.
    10. Kau, James B. & Keenan, Donald C. & Muller, Walter III & Epperson, James F., 1987. "The valuation and securitization of commercial and multifamily mortgages," Journal of Banking & Finance, Elsevier, vol. 11(3), pages 525-546, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Christopoulos, Andreas D., 2017. "The composition of CMBS risk," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 215-239.
    2. Gang-Zhi Fan & Tien Sing & Seow Ong, 2012. "Default Clustering Risks in Commercial Mortgage-Backed Securities," The Journal of Real Estate Finance and Economics, Springer, vol. 45(1), pages 110-127, June.
    3. Andreas D. Christopoulos & Robert A. Jarrow & Yildiray Yildirim, 2008. "Commercial Mortgage-Backed Securities (CMBS) and Market Efficiency with Respect to Costly Information," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 441-498, September.
    4. Wolter, Marcus & Rösch, Daniel, 2014. "Cure events in default prediction," European Journal of Operational Research, Elsevier, vol. 238(3), pages 846-857.
    5. James Kau & Donald Keenan & Yildiray Yildirim, 2009. "Estimating Default Probabilities Implicit in Commercial Mortgage Backed Securities (CMBS)," The Journal of Real Estate Finance and Economics, Springer, vol. 39(2), pages 107-117, August.
    6. Tong, Edward N.C. & Mues, Christophe & Thomas, Lyn C., 2012. "Mixture cure models in credit scoring: If and when borrowers default," European Journal of Operational Research, Elsevier, vol. 218(1), pages 132-139.
    7. Brent Ambrose & Michael Shafer & Yildiray Yildirim, 2018. "The Impact of Tenant Diversification on Spreads and Default Rates for Mortgages on Retail Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 56(1), pages 1-32, January.
    8. 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.
    9. 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.
    10. Liu, Fan & Hua, Zhongsheng & Lim, Andrew, 2015. "Identifying future defaulters: A hierarchical Bayesian method," European Journal of Operational Research, Elsevier, vol. 241(1), pages 202-211.

    More about this item

    Keywords

    Multilevel mixture model; Credit risk; CMBS;

    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:kap:jrefec:v:37:y:2008:i:2:p:93-111. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.