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A quantitative framework for commercial property and its relationship to the analysis of the financial stability of the corporate sector

Author

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  • John Whitley
  • Richard Windram

Abstract

In this paper a quantitative framework for analysis of the UK commercial property sector is developed, and the possible implications explored for the financial stability of this sector, and for the corporate sector as a whole. There is little previous empirical literature. But where there is, models have either studied particular markets or have developed single-equation approaches. Lack of suitable data has been a major impediment. A model of the real estate sector is constructed using econometric analysis of rental values and bank lending, supplemented by a calibrated model of the remainder of the financial accounts of real estate companies (using data for private and public real estate companies). Using related work on company-failure models, it is possible to extend the analysis to provide an equation for the probability of default of real estate companies. The empirical results fail to find a role for borrowing costs in the bank lending equation before 1999, but unless borrowing costs are included after this period, the equation breaks down and systematically underestimates the growth in lending to real estate from then on. Various potential explanations are examined for this breakdown, including the importance of sale and lease-backs. The estimated rental equation appears more stable. The historical tracking performance of the estimated real estate model fails to capture the full extent of the swings in capital values and bank lending in the early 1990s. This is attributed to shifts in the discount rate applied to property income, possibly reflecting a temporary shift in risk premia during this period. The property sector links to the rest of the private non-financial corporate sector through its role as collateral. Since the property model relies partly on macroeconomic influences it can be used in conjunction with macro models to provide forecasts of property values and the probability of default of property companies. Simulations that use this model with the Bank of England macroeconometric model show not only the sensitivity of the probability of default of real estate companies to selected macroeconomic shocks, but also the potential links between the commercial property sector and the financial health of the rest of the corporate sector.

Suggested Citation

  • John Whitley & Richard Windram, 2003. "A quantitative framework for commercial property and its relationship to the analysis of the financial stability of the corporate sector," Bank of England working papers 207, Bank of England.
    • Handle: RePEc:boe:boeewp:207
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    File URL: http://www.bankofengland.co.uk/archive/Documents/historicpubs/workingpapers/2003/wp207.pdf
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    References listed on IDEAS

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    1. Andrew Benito & John Whitley, 2003. "Implicit interest rates and corporate balance sheets: an analysis using aggregate and disaggregated UK data," Bank of England working papers 193, Bank of England.
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    Cited by:

    1. Mathias Drehmann & Steffen Sorensen & Marco Stringa, 2008. "The integrated impact of credit and interest rate risk on banks: an economic value and capital adequacy perspective," Bank of England working papers 339, Bank of England.
    2. Krzysztof Olszewski, 2012. "The impact of commercial real estate on the financial sector, its tracking by central banks and some recommendations for the macro-financial stability policy of central banks," NBP Working Papers 132, Narodowy Bank Polski.
    3. Mathias Drehmann & Steffen Sorensen & Marco Stringa, 2007. "Integrating credit and interest rate risk: A theoretical framework and an application to banks' balance sheets," Money Macro and Finance (MMF) Research Group Conference 2006 151, Money Macro and Finance Research Group.
    4. Michal Hlavacek & Ondrej Novotny & Marek Rusnak, 2014. "Office Property in Central European Countries," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2013/2014, chapter 0, pages 148-155, Czech National Bank.
    5. McInerney, Niall, 2019. "Macroprudential Policy, Banking and the Real Estate Sector," MPRA Paper 91777, University Library of Munich, Germany.
    6. Hana Hejlova & Michal Hlavacek & Blanka Vackova, 2020. "Estimating Commercial Property Price Misalignment in the CEE Countries," Working Papers 2020/11, Czech National Bank.
    7. Haldane, Andrew & Hall, Simon & Pezzini, Silvia, 2007. "Financial Stability Paper No 2: A New Approach to Assessing Risks to Financial Stability," Bank of England Financial Stability Papers 2, Bank of England.
    8. Kieran Farrelly & Ben Sanderson, 2005. "Modelling Regime Shifts in the City of London Office Rental Cycle," Journal of Property Research, Taylor & Francis Journals, vol. 22(4), pages 325-344, December.
    9. Bergin, Adele & Conroy, Niall & Garcia Rodriguez, Abian & Holland, Dawn & McInerney, Niall & Morgenroth, Edgar & Smith, Donal, 2017. "COSMO: A new COre Structural MOdel for Ireland," Papers WP553, Economic and Social Research Institute (ESRI).
    10. Krzysztof Olszewski, 2013. "The Commercial Real Estate Market, Central Bank Monitoring and Macroprudential Policy," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 5(2), pages 213-250, December.

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