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Empirical analysis of the average asset correlation for real estate investment trusts

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  • Jose Lopez

Abstract

The credit risk capital requirements within the current Basel II Accord are based on the asymptotic single risk factor (ASRF) approach. The asset correlation parameter, defined as an obligor's sensitivity to the ASRF, is a key driver within this approach, and its average values for different types of obligors are to be set by regulators. Specifically, for commercial real estate (CRE) lending, the average asset correlations are to be determined using formulas for either income-producing real estate or high-volatility commercial real estate. In this paper, the value of this parameter was empirically examined using portfolios of U.S. publicly-traded real estate investment trusts (REITs) as a proxy for CRE lending more generally. CRE lending as a whole was found to have the same calibrated average asset correlation as corporate lending, providing support for the recent U.S. regulatory decision to treat these two lending categories similarly for regulatory capital purposes. However, the calibrated values for CRE categories, such as multi-family residential or office lending, varied in important ways. The comparison of calibrated and regulatory values of the average asset correlations for these categories suggests that the current regulatory formulas generate parameter values that may be too high in most cases.

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  • Jose Lopez, 2009. "Empirical analysis of the average asset correlation for real estate investment trusts," Quantitative Finance, Taylor & Francis Journals, vol. 9(2), pages 217-229.
    • Handle: RePEc:taf:quantf:v:9:y:2009:i:2:p:217-229
    DOI: 10.1080/14697680802184141
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    Cited by:

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    2. Lee, Shih-Cheng & Lin, Chien-Ting & Yang, Chih-Kai, 2011. "The asymmetric behavior and procyclical impact of asset correlations," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2559-2568, October.
    3. Ethan Cohen-Cole, 2007. "Asset liquidity, debt valuation and credit risk," Supervisory Research and Analysis Working Papers QAU07-5, Federal Reserve Bank of Boston.
    4. Ho, Kung-Cheng & Lee, Shih-Cheng & Chen, Jiun-Lin, 2022. "Book-to-market equity and asset correlations—An international study," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 258-274.
    5. M. Dietsch & K. Düllmann & H. Fraisse & P. Koziol & C. Ott, 2016. "Support for the SME Supporting Factor - Multi-country empirical evidence on systematic risk factor for SME loans," Débats économiques et financiers 23, Banque de France.

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