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Liquidity risk and CMBX microstructure

Author

Listed:
  • Andreas D. Christopoulos
  • Joshua G. Barratt

Abstract

This is the first paper in the literature to focus on CMBX price formation with dual techniques of liquidity estimation. In this paper, we introduce a generalizable method using principal component analysis to estimate daily risk decompositions of default, interest rate, liquidity and excess liquidity from previously simulated reduced form monthly risk decompositions. Our method generates these measures for CMBX. To assess liquidity estimates, we compare our risk decomposition measures of liquidity to classical microstructure effective bid–ask spreads, daily. We find our measures to be significant in explaining effective bid–ask spreads over 12 years of daily history and in 20‐day forecasts.

Suggested Citation

  • Andreas D. Christopoulos & Joshua G. Barratt, 2024. "Liquidity risk and CMBX microstructure," Review of Financial Economics, John Wiley & Sons, vol. 42(2), pages 148-185, April.
  • Handle: RePEc:wly:revfec:v:42:y:2024:i:2:p:148-185
    DOI: 10.1002/rfe.1193
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    References listed on IDEAS

    as
    1. Michael J. Fleming, 2003. "Measuring treasury market liquidity," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 83-108.
    2. Edith S. Hotchkiss & Tavy Ronen, 2002. "The Informational Efficiency of the Corporate Bond Market: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1325-1354.
    3. Goldstein, Itay & Jiang, Hao & Ng, David T., 2017. "Investor flows and fragility in corporate bond funds," Journal of Financial Economics, Elsevier, vol. 126(3), pages 592-613.
    4. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Carmen Broto & Matías Lamas, 2016. "Measuring market liquidity in us fixed income markets: a new synthetic indicator," Working Papers 1608, Banco de España.
    7. Kingsley Y. L. Fong & Craig W. Holden & Charles A. Trzcinka, 2017. "What Are the Best Liquidity Proxies for Global Research?," Review of Finance, European Finance Association, vol. 21(4), pages 1355-1401.
    8. Driessen, Joost & Van Hemert, Otto, 2012. "Pricing of commercial real estate securities during the 2007–2009 financial crisis," Journal of Financial Economics, Elsevier, vol. 105(1), pages 37-61.
    9. Foucault, Thierry & Pagano, Marco & Roell, Ailsa, 2013. "Market Liquidity: Theory, Evidence, and Policy," OUP Catalogue, Oxford University Press, number 9780199936243.
    10. Thompson, Sarahelen R. & Waller, Mark L., 1987. "The Execution Cost of Trading in Commodity Futures Markets," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 20(2), pages 1-24.
    11. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    12. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, June.
    13. Fabozzi, Frank J. (ed.), 2016. "The Handbook of Mortgage-Backed Securities, 7th Edition," OUP Catalogue, Oxford University Press, edition 7, number 9780198785774.
    14. David Heath & Robert Jarrow & Andrew Morton, 2008. "Bond Pricing And The Term Structure Of Interest Rates: A New Methodology For Contingent Claims Valuation," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 13, pages 277-305, World Scientific Publishing Co. Pte. Ltd..
    15. Christopoulos, Andreas D. & Jarrow, Robert A., 2018. "CMBS market efficiency: The crisis and the recovery," Journal of Financial Stability, Elsevier, vol. 36(C), pages 159-186.
    16. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    17. Simon Gilchrist & Bin Wei & Vivian Z. Yue & Egon Zakrajšek, 2021. "The Term Structure of the Excess Bond Premium: Measures and Implications," Policy Hub, Federal Reserve Bank of Atlanta, vol. 2021(12), September.
    18. repec:fip:a00001:94155 is not listed on IDEAS
    19. Harris, Lawrence, 1990. "Statistical Properties of the Roll Serial Covariance Bid/Ask Spread Estimator," Journal of Finance, American Finance Association, vol. 45(2), pages 579-590, June.
    20. repec:oup:rfinst:v:21:y:2017:i:4:p:1355-1401. is not listed on IDEAS
    21. Christopoulos, Andreas D., 2017. "The composition of CMBS risk," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 215-239.
    22. Xudong An & Yongheng Deng & Joseph Nichols & Anthony Sanders, 2015. "What is Subordination About? Credit Risk and Subordination Levels in Commercial Mortgage-backed Securities (CMBS)," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 231-253, August.
    23. Murillo Campello & Long Chen & Lu Zhang, 2008. "Expected returns, yield spreads, and asset pricing tests," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1297-1338, May.
    24. Bao, Jack & O’Hara, Maureen & (Alex) Zhou, Xing, 2018. "The Volcker Rule and corporate bond market making in times of stress," Journal of Financial Economics, Elsevier, vol. 130(1), pages 95-113.
    25. Jack Bao & Jun Pan & Jiang Wang, 2011. "The Illiquidity of Corporate Bonds," Journal of Finance, American Finance Association, vol. 66(3), pages 911-946, June.
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