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Linkages among Interest Rates in the United States, Germany and Norway

Author

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  • Helge Bremnes
  • Oystein Gjerde
  • Frode Sattem

Abstract

The Johansen multivariate cointegration methodology is used to analyze relationships among short‐term and long‐term interest rates in the United States, Germany and Norway. A variance decomposition approach is applied to estimate the proportion of each interest rate's forecast error variance attributable to innovations in the other interest rates. Impulse response functions are plotted to illustrate the speed with which interest rate events are transmitted between capital markets. The analyses illustrate that US interest rates have a significant influence on both German and Norwegian interest rates, while the reverse effect is modest. Norway is also strongly exposed to German interest rate movements, which reflects the consequences of a small country linking its currency to the value of European currencies.

Suggested Citation

  • Helge Bremnes & Oystein Gjerde & Frode Sattem, 2001. "Linkages among Interest Rates in the United States, Germany and Norway," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(1), pages 127-145, March.
    • Handle: RePEc:bla:scandj:v:103:y:2001:i:1:p:127-145
    DOI: 10.1111/1467-9442.00234
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    Cited by:

    1. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    2. Kiryoung LEE & Chanik JO, 2018. "Forecasting Chinese Business Cycle Using Long-term Interest Rate Comovements," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 118-134, December.
    3. Lindenberg, Nannette & Westermann, Frank, 2012. "Common trends and common cycles among interest rates of the G7-countries," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1125-1140.
    4. Han‐Min Hsing, 2008. "International Capital Mobility in the Short Run and the Long Run: A Daily Data Study for Japan, Singapore and Taiwan," Asian Economic Journal, East Asian Economic Association, vol. 22(1), pages 67-82, March.
    5. Kemal Eyuboglu & Sinem Eyuboglu, 2017. "Examining the Developed and Emerging Bond Market Interactions: A VAR Analysis," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(2), pages 139-156, April.
    6. Beechey, Meredith & Hjalmarsson, Erik & sterholm, Pr, 2009. "Testing the expectations hypothesis when interest rates are near integrated," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 934-943, May.
    7. Tamim Bayoumi & Andrew Swiston, 2010. "The Ties that Bind: Measuring International Bond Spillovers Using Inflation-Indexed Bond Yields," IMF Staff Papers, Palgrave Macmillan, vol. 57(2), pages 366-406, June.
    8. Kenneth A. Tah & Geoffrey Ngene, 2021. "Dynamic linkages between US and Eurodollar interest rates: new evidence from causality in quantiles," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(1), pages 200-210, January.
    9. Vuyyuri, S., 2004. "Linkages of Indian Interest Rates with US and Japanese Rates," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(2).
    10. David Knezevic & Martin Nordström & Pär Österholm, 2021. "The relation between municipal and government bond yields in an era of unconventional monetary policy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(1), February.
    11. Steven B. Kamin, 2010. "Financial globalization and monetary policy," International Finance Discussion Papers 1002, Board of Governors of the Federal Reserve System (U.S.).

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