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Euro money market spreads during the 2007–? financial crisis

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  • Cassola, Nuno
  • Morana, Claudio

Abstract

In the paper we investigate the empirical features of euro area money market turbulence during the recent financial crisis. By means of a novel Fractionally Integrated Heteroskedastic Factor Vector Autoregressive model, we find evidence of a deterministic level factor in the EURIBOR-OIS (OIS) spreads term structure, associated with the two waves of stress in the interbank market, following the BNP Paribas (9 August 2007) and Lehman Brothers (16 September 2008) “shocks”, and two additional factors, of the long memory type, bearing the interpretation of curvature and slope factors, respectively. The unfolding of the crisis yields a significant increase in their persistence and volatility. We also find evidence of a declining trend in the level and volatility of OIS spreads since December 2008, associated with ECB liquidity policies.

Suggested Citation

  • Cassola, Nuno & Morana, Claudio, 2012. "Euro money market spreads during the 2007–? financial crisis," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 548-557.
  • Handle: RePEc:eee:empfin:v:19:y:2012:i:4:p:548-557
    DOI: 10.1016/j.jempfin.2012.04.003
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    References listed on IDEAS

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    1. John B. Taylor & John C. Williams, 2009. "A black swan in the money market," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    2. Jens H. E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2014. "Do Central Bank Liquidity Facilities Affect Interbank Lending Rates?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 136-151, January.
    3. Brunetti, Celso & Gilbert, Christopher L., 2000. "Bivariate FIGARCH and fractional cointegration," Journal of Empirical Finance, Elsevier, vol. 7(5), pages 509-530, December.
    4. Tao Wu, 2008. "On the effectiveness of the Federal Reserve's new liquidity facilities," Working Papers 0808, Federal Reserve Bank of Dallas.
    5. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
    6. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    7. Morana, Claudio, 2009. "On the macroeconomic causes of exchange rate volatility," International Journal of Forecasting, Elsevier, vol. 25(2), pages 328-350.
    8. repec:eee:jbfina:v:83:y:2017:i:c:p:135-152 is not listed on IDEAS
    9. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    10. Morana, Claudio, 2007. "Multivariate modelling of long memory processes with common components," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 919-934, October.
    11. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    12. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
    13. McAndrews, James & Sarkar, Asani & Wang, Zhenyu, 2017. "The effect of the term auction facility on the London interbank offered rate," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 135-152.
    14. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
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    Cited by:

    1. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    2. Claudio Morana, 2014. "New insights on the US OIS spreads term structure during the recent financial turmoil," Applied Financial Economics, Taylor & Francis Journals, vol. 24(5), pages 291-317, March.
    3. Claudio, Morana, 2015. "The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises," Working Papers 321, University of Milano-Bicocca, Department of Economics, revised 28 Dec 2015.
    4. Yunus, Nafeesa, 2015. "Trends and convergence in global housing markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 100-112.
    5. Calice, Giovanni & Mio, RongHui & Štěrba, Filip & Vašíček, Bořek, 2015. "Short-term determinants of the idiosyncratic sovereign risk premium: A regime-dependent analysis for European credit default swaps," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 174-189.
    6. Olivier Brossard & Susanna Saroyan, 2016. "Hoarding and short-squeezing in times of crisis: Evidence from the Euro overnight money market," Post-Print hal-01293693, HAL.

    More about this item

    Keywords

    Money market interest rates; Credit/liquidity risk; Fractionally integrated heteroskedastic factor vector autoregressive model;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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