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Fractional integration and the volatility of UK interest rates

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  • Simeon Coleman

  • Kavita Sirichand

Abstract

Using fractional integration and GARCH modeling techniques, this paper investigates the dynamic properties of UK interest rates. We find evidence that, contrary to previous studies for the US and Canada, short rates are more nonstationary compared to longer rates. Further, differences in conditional volatility exist between rates of different maturities. We posit that the dynamics of interest rates may be both maturity-specific and country-specific and any a priori generalizing assumptions may be misleading.

Suggested Citation

  • Simeon Coleman & Kavita Sirichand, 2011. "Fractional integration and the volatility of UK interest rates," Discussion Papers in Economics 11/29, Division of Economics, School of Business, University of Leicester, revised May 2011.
  • Handle: RePEc:lec:leecon:11/29
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    Cited by:

    1. Otavio Ribeiro de Medeiros and Vitor Leone, 2012. "Multiple Changes in Persistence vs. Explosive Behaviour: The Dotcom Bubble," NBS Discussion Papers in Economics 2012/02, Economics, Nottingham Business School, Nottingham Trent University.
    2. Fredrik N. G. Andersson & Yushu Li, 2020. "Are Central Bankers Inflation Nutters? An MCMC Estimator of the Long-Memory Parameter in a State Space Model," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 529-549, February.
    3. Andrew Atherton & João R. Faria & Dongxu Wu & Zhongmin Wu, 2015. "Human Capital, Entrepreneurial Entry and Survival," NBS Discussion Papers in Economics 2015/01, Economics, Nottingham Business School, Nottingham Trent University.
    4. Al-Shboul, Mohammad & Anwar, Sajid, 2016. "Fractional integration in daily stock market indices at Jordan's Amman stock exchange," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 16-37.
    5. Simeon Coleman Author name: Vitor Leone, 2012. "Time-series characteristics of UK commercial property returns: Testing for multiple changes in persistence," NBS Discussion Papers in Economics 2012/03, Economics, Nottingham Business School, Nottingham Trent University.
    6. Robert Mullings, 2017. "Do institutions moderate globalization’s effect on growth?," NBS Discussion Papers in Economics 2017/02, Economics, Nottingham Business School, Nottingham Trent University.
    7. Kavita Sirichand & Simeon Coleman, 2015. "International yield curve comovements: impact of the recent financial crisis," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4561-4573, September.
    8. Andersson, Fredrik N. G. & Li, Yushu, 2014. "Are Central Bankers Inflation Nutters? - A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model," Discussion Papers 2014/38, Norwegian School of Economics, Department of Business and Management Science.
    9. Andersson, Fredrik N.G. & Li, Yushu, 2013. "How Flexible are the Inflation Targets? A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model," Working Papers 2013:38, Lund University, Department of Economics.
    10. Rob Ackrill and Simeon Coleman, 2012. "Inflation dynamics in central and eastern European countries," NBS Discussion Papers in Economics 2012/01, Economics, Nottingham Business School, Nottingham Trent University.
    11. Robert Mullings & Aruneema Mahabir, 2016. "Growth by Destination: The Role of Trade in Africa’s Recent Growth Episode," NBS Discussion Papers in Economics 2016/01, Economics, Nottingham Business School, Nottingham Trent University.

    More about this item

    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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