Determinants of Credit Spreads in Commercial Mortgages
AbstractThis article examines the cross-sectional and time-series determinants of commercial mortgage credit spreads as well as the terms of the mortgages. Consistent with theory, our empirical evidence indicates that mortgages on property types that tend to be riskier and have greater investment flexibility exhibit higher spreads. The relationship between the loan-to-value (LTV) ratio and spreads is relatively weak, which is probably due to the endogeneity of the LTV choice. However, the average LTV ratio per lender has a strong positive relation with credit spreads, which is consistent with the idea that lenders specialize in mortgages with either high or low levels of risk, and that high LTV mortgages require substantially higher spreads. Finally, we observe that spreads widen and mortgage terms become stricter after periods of poor performance of the real estate markets and after periods of greater default rates of outstanding real estate loans. Copyright 2005 by the American Real Estate and Urban Economics Association
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Bibliographic InfoArticle provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.
Volume (Year): 33 (2005)
Issue (Month): 4 (December)
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- Tang, Dragon Yongjun & Yan, Hong, 2010.
"Market conditions, default risk and credit spreads,"
Journal of Banking & Finance,
Elsevier, vol. 34(4), pages 743-753, April.
- Tang, Dragon Yongjun & Yan, Hong, 2008. "Market conditions, default risk and credit spreads," Discussion Paper Series 2: Banking and Financial Studies 2008,08, Deutsche Bundesbank, Research Centre.
- 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.
- 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.
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