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Interest rate and stock return volatility indices for the Eurozone. Investors' gauges of fear during the recent financial crisis

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  • R. L�pez
  • E. Navarro

Abstract

We suggest a methodology for the construction of a set of interest rate volatility indices for the Eurozone (EIRVIXs) based on the implied volatility quotes of caps (floors), one of the most liquid interest rate derivatives. These indices reflect the market's aggregate expectation of volatility of forward rates over both short- and long-term horizons (from 1 to 10 years ahead). Volatility indices in equity markets are referred to as investors' gauges of fear because they usually spike in periods of market turmoil. In this article, we extend the empirical evidence by analysing the effect of the recent financial crisis on short- and long-term EIRVIXs. We find that the level of short-term EIRVIXs (70%) as of April 2012 is still far from returning to the average pre-crisis value (17%) and that the crisis has also affected investors' long-term expectations of volatility. In addition, using two stock return volatility indices for the Eurozone, we find that the crisis has had a deeper impact on investors' uncertainty about the evolution of interest rates than on stock market returns.

Suggested Citation

  • R. L�pez & E. Navarro, 2013. "Interest rate and stock return volatility indices for the Eurozone. Investors' gauges of fear during the recent financial crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(18), pages 1419-1432, September.
    • Handle: RePEc:taf:apfiec:v:23:y:2013:i:18:p:1419-1432
    DOI: 10.1080/09603107.2013.831167
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    References listed on IDEAS

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    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. G. William Schwert, 2011. "Stock Volatility during the Recent Financial Crisis," European Financial Management, European Financial Management Association, vol. 17(5), pages 789-805, November.
    3. Jefferson Duarte & Francis A. Longstaff & Fan Yu, 2007. "Risk and Return in Fixed-Income Arbitrage: Nickels in Front of a Steamroller?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 769-811.
    4. Jiang, George J. & Konstantinidi, Eirini & Skiadopoulos, George, 2012. "Volatility spillovers and the effect of news announcements," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2260-2273.
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    Cited by:

    1. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    2. Gómez-Puig, Marta & Sosvilla-Rivero, Simón & Ramos-Herrera, María del Carmen, 2014. "An update on EMU sovereign yield spread drivers in times of crisis: A panel data analysis," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 133-153.
    3. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion," Economic Modelling, Elsevier, vol. 56(C), pages 133-147.
    4. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2014. "EMU sovereign debt market crisis: Fundamentals-based or pure contagion?," Working Papers 14-08, Asociación Española de Economía y Finanzas Internacionales.
    5. Carol Alexander & Julia Kapraun & Dimitris Korovilas, 2015. "Trading and Investing in Volatility Products," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 24(4), pages 313-347, November.

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