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“Black Swans” before the “Black Swan” evidence from international LIBOR–OIS spreads

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  • Olson, Eric
  • Miller, Scott
  • Wohar, Mark E.

Abstract

The LIBOR–OIS spread is a closely monitored indicator of the financial health of economy. Previous research has used this spread to identify and anticipate abrupt changes in financial markets. Taylor and Williams (2009) refer to the drastic increase in the US LIBOR–OIS spread on August 7th, 2007 as a “Black Swan” in the money market. In this paper, rather than rely on visual observations of “Black Swans” we estimate them using Bai and Perron’s (1998) procedure. We estimate structural breaks, Granger causality tests, and innovation accounting in international LIBOR–OIS spreads and a CDS index to better understand their dynamics during the recent crisis. Our results reveal that “Black Swans” appeared in smaller economies prior to that in large ones during the financial crisis. In addition, we find that only shocks to the US LIBOR–OIS spread has any statistically significant effects after 30 days.

Suggested Citation

  • Olson, Eric & Miller, Scott & Wohar, Mark E., 2012. "“Black Swans” before the “Black Swan” evidence from international LIBOR–OIS spreads," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1339-1357.
  • Handle: RePEc:eee:jimfin:v:31:y:2012:i:6:p:1339-1357
    DOI: 10.1016/j.jimonfin.2012.02.004
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    References listed on IDEAS

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    Cited by:

    1. Charles, Amélie & Darné, Olivier, 2014. "Large shocks in the volatility of the Dow Jones Industrial Average index: 1928–2013," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 188-199.
    2. Gurnain Pasricha & Matteo Falagiarda & Martin Bijsterbosch & Joshua Aizenman, 2015. "Domestic and Multilateral Effects of Capital Controls in Emerging Markets," NBER Working Papers 20822, National Bureau of Economic Research, Inc.
    3. Cécile Bastidon & Nicolas Huchet & Yusuf Kocoðlu, 2013. "A Second Dip in the Euro Area Money Market in 2011? Interbank Risk Premia and the ECB Bonds and Money Markets Policy," The Journal of European Theoretical and Applied Studies, The Center for European Studies at Kirklareli University - Turkey, vol. 1(1), pages 11-52.
    4. 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.
    5. Leung, W.S. & Taylor, N. & Evans, K.P., 2015. "The determinants of bank risks: Evidence from the recent financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 277-293.
    6. Woon Sau Leung & Nicholas Taylor, 2013. "Testing for contagion: the impact of US structured markets on international financial markets," Chapters,in: Handbook of Research Methods and Applications in Empirical Finance, chapter 11, pages 256-284 Edward Elgar Publishing.
    7. Cui, Jin & In, Francis & Maharaj, Elizabeth Ann, 2016. "What drives the Libor–OIS spread? Evidence from five major currency Libor–OIS spreads," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 358-375.

    More about this item

    Keywords

    Credit default swaps; Structural breaks; Global financial crisis;

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other
    • F39 - International Economics - - International Finance - - - Other
    • G01 - Financial Economics - - General - - - Financial Crises
    • 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

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