Determinants of commercial mortgage‐backed securities credit ratings: Australian evidence

    Bwembya Chikolwa Info
    Felix Chan Info

Abstract

Using artificial neural networks (ANN) and ordinal regression (OR) as alternative methods to predict Commercial Mortgage‐backed Securities (CMBS) credit ratings, we examine the role that various financial and industry‐based variables have on CMBS credit ratings issued by Standard and Poor's from 1999–2005. Our OR results show that rating agencies use only a subset of variables they describe or indicate as important to CMBS credit rating as some of the variables they use were statistically insignificant. Overall, ANN show superior results to OR in predicting CMBS credit ratings.

First published online: 18 Oct 2010

Keywords:

Commercial mortgage‐backed securities, Credit rating prediction, Ordinal regression, Artificial neural networks

How to Cite

Chikolwa, B., & Chan, F. (2010). Determinants of commercial mortgage‐backed securities credit ratings: Australian evidence. International Journal of Strategic Property Management, 12(2), 69-94. https://doi.org/10.3846/1648-715X.2008.12.69-94

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October 18, 2010
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2010-10-18

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How to Cite

Chikolwa, B., & Chan, F. (2010). Determinants of commercial mortgage‐backed securities credit ratings: Australian evidence. International Journal of Strategic Property Management, 12(2), 69-94. https://doi.org/10.3846/1648-715X.2008.12.69-94

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