Local Traits and Securitized Commercial Mortgage Default

Xudong An (), Yongheng Deng, Joseph Nichols () and Anthony Sanders ()

The Journal of Real Estate Finance and Economics, 2013, vol. 47, issue 4, 787-813

Abstract: We expand on the standard commercial mortgage default model and create a new model by looking beyond the usual factors of option value, insolvency, property type, region, originator type, state foreclosure laws and macroeconomic measures. The new model incorporates measures of local economic conditions, specifically MSA-level commercial property market conditions, county level unemployment, and local home price appreciation. We estimate our new model using a dataset containing the performance histories of over 30,000 CMBS loans that were originated between 1998 and 2012. We find that those local trait variables affect the default rate of CMBS loans significantly and provide improved explanatory power over the standard model. We further explore the impact of local home price measures by comparing the explanatory power of lagged and contemporaneous home price indexes, comparing the power of home price indexes at the state, county, and zip-code level, examining the interaction of home price indexes with commercial property type, looking at the impact of home price indexes over time, and at the impact of introducing local commercial land price indexes. We find that local residential house price-related measures provide a high quality and high frequency signal of local market conditions. Copyright Springer Science+Business Media New York 2013

Keywords: Default risk; CMBS loan; Local trait; Hazard model; G21; G12; C41 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11146-013-9431-2

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