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Status已发表Published
TitleDefault Clustering Risks in Commercial Mortgage-Backed Securities
Creator
Date Issued2012
Source PublicationJournal of Real Estate Finance and Economics
ISSN0895-5638
Volume45Issue:1Pages:110-127
Abstract

This paper proposes an intensity-based pricing model with default dependence structure for CMBS bonds. Three features are incorporated into the proposed model. First, default is a Poisson jump process defined by a function of mortgage rating information. Second, property risks are modeled using a high dimensional Brownian motion process that captures both systematic risk and idiosyncratic risk in property value. Third, default dependence structure is built into the extended model. Based on a set of input parameters, we simulate various pricing effects on a hypothetical CMBS using the proposed model structure. The results of the base-line intensity model show that yield spreads on CMBS bonds increase in the recovery rate, but decreases in the hazard rate. Security structured with smaller subordination tranche exposes CMBS bonds to higher default risks. The model predicts that default clustering increases required yield spreads of CMBS bonds. At a 70% recovery rate and a 3% default hazard rate, yield spreads of Junior bonds are expected to increase by 169 basis points when counterparty risks increase by 50%. The results highlight the importance of clustering risks associated with counterparty default when valuing CMBS bonds. © 2011 Springer Science+Business Media, LLC.

KeywordCounterparty risk Default cluster Intensity model Subordination structure
DOI10.1007/s11146-011-9315-2
URLView source
Indexed BySSCI
Language英语English
WOS Research AreaBusiness & Economics ; Urban Studies
WOS SubjectBusiness, Finance ; Economics ; Urban Studies
WOS IDWOS:000305403000007
Scopus ID2-s2.0-84862604612
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/12591
CollectionResearch outside affiliated institution
Corresponding AuthorSing, Tien Foo
Affiliation
1.Department of Real Estate,Konkuk University,1 Hwayang-dong, Kwangjin-gu,Seoul 143-701,South Korea
2.Department of Real Estate School of Design and Environment,National University of Singapore,4 Architecture Drive,Singapore 117566,Singapore
Recommended Citation
GB/T 7714
Fan, Gang-Zhi,Sing, Tien Foo,Ong, Seow Eng. Default Clustering Risks in Commercial Mortgage-Backed Securities[J]. Journal of Real Estate Finance and Economics, 2012, 45(1): 110-127.
APA Fan, Gang-Zhi, Sing, Tien Foo, & Ong, Seow Eng. (2012). Default Clustering Risks in Commercial Mortgage-Backed Securities. Journal of Real Estate Finance and Economics, 45(1), 110-127.
MLA Fan, Gang-Zhi,et al."Default Clustering Risks in Commercial Mortgage-Backed Securities". Journal of Real Estate Finance and Economics 45.1(2012): 110-127.
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