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

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  • Jose A. 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 multifamily residential or office lending, varied in important ways. The comparison of calibrated and regulatory values of the average asset correlations for these categories suggest that the current regulatory formulas generate parameter values that may be too high in most cases.

Suggested Citation

  • Jose A. Lopez, 2005. "Empirical analysis of the average asset correlation for real estate investment trusts," Working Paper Series 2005-22, Federal Reserve Bank of San Francisco.
  • Handle: RePEc:fip:fedfwp:2005-22
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    References listed on IDEAS

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    1. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    2. Jackson, Patricia & Perraudin, William & Saporta, Victoria, 2002. "Regulatory and "economic" solvency standards for internationally active banks," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 953-976, May.
    3. Joseph Gyourko & Donald B. Keim, "undated". "What Does the Stock Market Tell Us About Real Estate Returns? (Revision of 18-91) (Reprint 030)," Rodney L. White Center for Financial Research Working Papers 11-92, Wharton School Rodney L. White Center for Financial Research.
    4. Lopez, Jose A., 2004. "The empirical relationship between average asset correlation, firm probability of default, and asset size," Journal of Financial Intermediation, Elsevier, vol. 13(2), pages 265-283, April.
    5. Hendershott, Patric H & Ward, Charles W R, 2003. "Valuing and Pricing Retail Leases with Renewal and Overage Options," The Journal of Real Estate Finance and Economics, Springer, vol. 26(2-3), pages 223-240, March-May.
    6. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    7. Mei, Jianping & Lee, Ahyee, 1994. "Is There a Real Estate Factor Premium?," The Journal of Real Estate Finance and Economics, Springer, vol. 9(2), pages 113-126, September.
    8. Joseph Gyourko & Donald B. Keim, 1992. "What Does the Stock Market Tell Us About Real Estate Returns?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 20(3), pages 457-485.
    9. Bradford Case, 2003. "Loss characteristics of commercial real estate loan portfolios," Basel II White Paper 1, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. 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.
    2. Lee, Shih-Cheng & Lin, Chien-Ting, 2012. "Book-to-market equity, operating risk, and asset correlations: Implications for Basel capital requirement," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 973-989.
    3. Ethan Cohen-Cole, 2007. "Asset liquidity, debt valuation and credit risk," Risk and Policy Analysis Unit Working Paper QAU07-5, Federal Reserve Bank of Boston.
    4. 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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