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Currency jumps, Euribor-OIS spreads and the volatility skew: A study on the dollar-euro crash risk of 2007–2015

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  • Wong, Alfred

Abstract

This paper examines the Euribor-OIS spread and volatility skew as future indicators of the euro jumps triggered by crash events during the European financial crises of 2007–2015. The overall result reveals that the Euribor-OIS spread is capable of generating statistically and economically significant predictions of euro jumps that occur during the crises. Volatility skew is also found to be informative about future jumps but the marginal effect of jump predictions is relatively small. Further, pre-crises jumps are not accurately predicted by either indicator, suggesting that adverse information flow over the sample period is transitory.

Suggested Citation

  • Wong, Alfred, 2019. "Currency jumps, Euribor-OIS spreads and the volatility skew: A study on the dollar-euro crash risk of 2007–2015," Finance Research Letters, Elsevier, vol. 29(C), pages 7-16.
  • Handle: RePEc:eee:finlet:v:29:y:2019:i:c:p:7-16
    DOI: 10.1016/j.frl.2019.03.001
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    1. Melvin, Michael & Taylor, Mark P., 2009. "The crisis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1317-1330, December.
    2. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    3. Davide Furceri & Stéphanie Guichard & Elena Rusticelli, 2012. "Episodes of Large Capital Inflows, Banking and Currency Crises, and Sudden Stops," International Finance, Wiley Blackwell, vol. 15(1), pages 1-35, April.
    4. Kei Imakubo & Takeshi Kimura & Teppei Nagano, 2008. "Cross-currency transmission of money market tensions," Bank of Japan Review Series 08-E-2, Bank of Japan.
    5. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    6. Ji, Philip Inyeob, 2012. "Time-varying financial stress linkages: Evidence from the LIBOR-OIS spreads," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 647-657.
    7. Acharya, Viral V. & Skeie, David, 2011. "A model of liquidity hoarding and term premia in inter-bank markets," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 436-447.
    8. Alfred Huah‐Syn Wong & Richard A. Heaney, 2017. "Volatility Smile and One‐Month Foreign Currency Volatility Forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(3), pages 286-312, March.
    9. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    10. Fulvio Corsi & Roberto Renò, 2012. "Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 368-380, January.
    11. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    12. Daniel L. Thornton, 2009. "What the Libor-OIS spread says," Economic Synopses, Federal Reserve Bank of St. Louis.
    13. George G. Kaufman, 2000. "Banking and currency crisis and systemic risk: lessons from recent events," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 25(Q III), pages 9-28.
    14. Viktor Todorov, 2010. "Variance Risk-Premium Dynamics: The Role of Jumps," Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 345-383, January.
    15. Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 1-37.
    16. Ahmad, Rubi & Rhee, S. Ghon & Wong, Yuen Meng, 2012. "Foreign exchange market efficiency under recent crises: Asia-Pacific focus," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1574-1592.
    17. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2009. "Carry Trades and Currency Crashes," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 313-347, National Bureau of Economic Research, Inc.
    18. James S. Doran & David R. Peterson & Brian C. Tarrant, 2007. "Is there information in the volatility skew?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(10), pages 921-959, October.
    19. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    20. Ait-Sahalia, Yacine, 2004. "Disentangling diffusion from jumps," Journal of Financial Economics, Elsevier, vol. 74(3), pages 487-528, December.
    21. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    22. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    23. Aït-Sahalia, Yacine & Andritzky, Jochen & Jobst, Andreas & Nowak, Sylwia & Tamirisa, Natalia, 2012. "Market response to policy initiatives during the global financial crisis," Journal of International Economics, Elsevier, vol. 87(1), pages 162-177.
    24. Suzanne S. Lee & Per A. Mykland, 2008. "Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics," Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2535-2563, November.
    25. Hui, Cho-Hoi & Chung, Tsz-Kin, 2011. "Crash risk of the euro in the sovereign debt crisis of 2009-2010," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2945-2955, November.
    26. Carr, Peter & Wu, Liuren, 2007. "Theory and evidence on the dynamic interactions between sovereign credit default swaps and currency options," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2383-2403, August.
    27. Mobarek, Asma & Mollah, Sabur & Keasey, Kevin, 2014. "A cross-country analysis of herd behavior in Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 107-127.
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    More about this item

    Keywords

    Euribor-OIS spreads; Volatility skew; Jumps in exchange rates;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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