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Are Capital Markets Efficient? Evidence from the Term Structure of Interest Rates in Europe

Author

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  • Richter Christian
  • Hallet Andrew Hughes

Abstract

This paper investigates the uncovered interest parity hypothesis in an unusual way. We provide empirical evidence on the efficiency of capital markets using a time domain approach. However, a common prediction from theoretical models is that inefficient capital markets cause greater volatility of the observed time series. By using cross spectral analysis we are able to test this proposition directly. We show, in particular, how this can be done for time-varying models and time-varying spectra. We use our techniques to examine the changing stability of the relationship between British and German interest rates during and following the ERM crisis of 1992/3.
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Suggested Citation

  • Richter Christian & Hallet Andrew Hughes, 2010. "Are Capital Markets Efficient? Evidence from the Term Structure of Interest Rates in Europe," EcoMod2002 330800057, EcoMod.
    • Handle: RePEc:ekd:003308:330800057
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    Cited by:

    1. Mario Cunha, 2010. "Modelling the Cyclical Behaviour of Wine Production in the Douro Region Using a Time-Varying Parameters Approach," Working Papers 2010.1, International Network for Economic Research - INFER.
    2. Christian Richter & Andrew Hughes Hallett, 2005. "A Time-Frequency Analysis of the Coherences of the US Business," Computing in Economics and Finance 2005 45, Society for Computational Economics.
    3. Essahbi Essaadi & Mohamed Boutahar, 2010. "A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach," Economics Bulletin, AccessEcon, vol. 30(2), pages 1054-1070.
    4. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, August.
    5. Kim Sangbae & In Francis Haeuck, 2003. "The Relationship Between Financial Variables and Real Economic Activity: Evidence From Spectral and Wavelet Analyses," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-18, December.
    6. Andrew Hughes Hallett & Christian Richter, 2009. "Economics in the Backyard: How Much Convergence is there between China and her Special Regions?," The World Economy, Wiley Blackwell, vol. 32(6), pages 819-861, June.
    7. TRIANDAFIL, Cristina Maria, 2013. "Sustainability of convergence in the context of macro-prudential policies in the European Union," Working Papers of National Institute for Economic Research 130618, Institutul National de Cercetari Economice (INCE).
    8. Maria do Rosario CORREIA & Christian GOKUS & Andrew Hughes HALLETT & Christian R. RICHTER, 2016. "A Dynamic Analysis of the Determinants of the Greek Credit Default Swaps," Journal of Economics and Political Economy, KSP Journals, vol. 3(2), pages 350-376, June.
    9. Bachar Fakhry & Christian Richter, 2015. "Is the sovereign debt market efficient? Evidence from the US and German sovereign debt markets," International Economics and Economic Policy, Springer, vol. 12(3), pages 339-357, September.
    10. Andrew Hallett & Christian Richter, 2006. "Measuring the Degree of Convergence among European Business Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 229-259, May.
    11. repec:hal:journl:halshs-00333582 is not listed on IDEAS

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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