IDEAS home Printed from https://ideas.repec.org/p/gla/glaewp/2005_1.html
   My bibliography  Save this paper

An Investigation Into The Linkages Between Euro And Sterling Swap Spreads

Author

Listed:
  • Somnath Chatterjee

Abstract

This paper examines the causal relationship between euro and sterling swap spreads during the period January, 1999 to March, 2003. The absence of any correlation between changes in the two swap spreads would indicate that credit risk factors are country-specific. But euro swap spreads showed some correlation with the interest rate differentials between the two markets. Both spreads follow a GARCH process but sterling swap spreads reacted more intensely to market movements and were more volatile than their euro counterparts. There was evidence of mild volatility transmission from the sterling swap spreads to the euro swap spreads but the causality was one sided.

Suggested Citation

  • Somnath Chatterjee, 2005. "An Investigation Into The Linkages Between Euro And Sterling Swap Spreads," Working Papers 2005_1, Business School - Economics, University of Glasgow.
    • Handle: RePEc:gla:glaewp:2005_1
    as

    Download full text from publisher

    File URL: http://www.gla.ac.uk/media/media_22192_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tse, Yiuman & Booth, G. Geoffrey, 1996. "Common volatility and volatility spillovers between U.S. and Eurodollar interest rates: Evidence from the futures market," Journal of Economics and Business, Elsevier, vol. 48(3), pages 299-312, August.
    2. Neil Cooper & Cedric Scholtes, 2001. "Government bond market valuations in an era of dwindling supply," BIS Papers chapters, in: Bank for International Settlements (ed.), The changing shape of fixed income markets: a collection of studies by central bank economists, volume 5, pages 147-169, Bank for International Settlements.
    3. Mark Grinblatt, 2001. "An Analytic Solution for Interest Rate Swap Spreads," International Review of Finance, International Review of Finance Ltd., vol. 2(3), pages 113-149, September.
    4. Liu, Jun & Longstaff, Francis A. & Mandell, Ravit E., 2000. "The Market Price of Credit Risk: An Empirical Analysis of Interest Rate Swap Spreads," University of California at Los Angeles, Anderson Graduate School of Management qt0zw4f9w6, Anderson Graduate School of Management, UCLA.
    5. Duffie, Darrell & Singleton, Kenneth J, 1997. "An Econometric Model of the Term Structure of Interest-Rate Swap Yields," Journal of Finance, American Finance Association, vol. 52(4), pages 1287-1321, September.
    6. Study group on fixed income markets, 2001. "The changing shape of fixed income markets," BIS Papers chapters, in: Bank for International Settlements (ed.), The changing shape of fixed income markets: a collection of studies by central bank economists, volume 5, pages 1-43, Bank for International Settlements.
    7. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    8. Franklin R. Edward, 1999. "Hedge Funds and the Collapse of Long-Term Capital Management," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 189-210, Spring.
    9. Eli M Remolona & Philip D Wooldridge, 2003. "The euro interest rate swap market," BIS Quarterly Review, Bank for International Settlements, March.
    10. Sun, Tong-sheng & Sundaresan, Suresh & Wang, Ching, 1993. "Interest rate swaps: An empirical investigation," Journal of Financial Economics, Elsevier, vol. 34(1), pages 77-99, August.
    11. the Study group on fixed income markets, 2001. "The changing shape of fixed income markets," BIS Working Papers 104, Bank for International Settlements.
    12. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baum, Christopher F. & Caglayan, Mustafa & Stephan, Andreas & Talavera, Oleksandr, 2008. "Uncertainty determinants of corporate liquidity," Economic Modelling, Elsevier, vol. 25(5), pages 833-849, September.
    2. Joseph Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2007. "Unit Roots in Inflation and Aggregation Bias," Working Papers 2007_07, Business School - Economics, University of Glasgow.
    3. Chung, Hon-Lun & Chan, Wai-Sum, 2010. "Impact of credit spreads, monetary policy and convergence trading on swap spreads," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 118-126, March.
    4. Antulio N. Bomfim, 2003. "Counterparty credit risk in interest rate swaps during times of market stress," Finance and Economics Discussion Series 2003-09, Board of Governors of the Federal Reserve System (U.S.).
    5. Ying Huang & Carl R. Chen, 2007. "The effect of Fed monetary policy regimes on the US interest rate swap spreads," Review of Financial Economics, John Wiley & Sons, vol. 16(4), pages 375-399.
    6. Gómez-Puig, Marta, 2008. "Monetary integration and the cost of borrowing," Journal of International Money and Finance, Elsevier, vol. 27(3), pages 455-479, April.
    7. Marti G. Subrahmanyam & Young Ho Eom & Jun Uno, 2000. "Credit Risk and the Pricing of Japanese Yen Interest Rate Swaps," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-069, New York University, Leonard N. Stern School of Business-.
    8. Huang, Ying & Chen, Carl R., 2007. "The effect of Fed monetary policy regimes on the US interest rate swap spreads," Review of Financial Economics, Elsevier, vol. 16(4), pages 375-399.
    9. Chan, W.S. & Wong, C.S. & Chung, A.H.L., 2009. "Modelling Australian interest rate swap spreads by mixture autoregressive conditional heteroscedastic processes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2779-2786.
    10. Longstaff, Francis A. & Santa-Clara, Pedro & Schwartz, Eduardo S., 2001. "Throwing away a billion dollars: the cost of suboptimal exercise strategies in the swaptions market," Journal of Financial Economics, Elsevier, vol. 62(1), pages 39-66, October.
    11. repec:wyi:journl:002109 is not listed on IDEAS
    12. Augustin, P. & Chernov, M. & Schmid, L. & Song, D., 2021. "Benchmark interest rates when the government is risky," Journal of Financial Economics, Elsevier, vol. 140(1), pages 74-100.
    13. Ilias Lekkos & Costas Milas & Theodore Panagiotidis, 2005. "On the predictability of common risk factors in the US and UK interest rate swap markets: Evidence from non-linear and linear models," Discussion Paper Series 2005_9, Department of Economics, Loughborough University, revised Sep 2005.
    14. Broto, Carmen & Pérez-Quirós, Gabriel, 2015. "Disentangling contagion among sovereign CDS spreads during the European debt crisis," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 165-179.
    15. Adam Kobor & Lishan Shi & Ivan Zelenko, 2005. "What Determines U.S. Swap Spreads?," World Bank Publications - Books, The World Bank Group, number 7272.
    16. Huang, Ying & Neftci, Salih N. & Guo, Feng, 2008. "Swap curve dynamics across markets: Case of US dollar versus HK dollar," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 79-93, February.
    17. Jeannine Bailliu, 2000. "Private Capital Flows, Financial Development, and Economic Growth in Developing Countries," Staff Working Papers 00-16, Bank of Canada.
    18. Kenneth A. Tah, 2022. "Determinants of Interest rate swap spreads: A quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 522-534, July.
    19. Wahyudi, Imam & Robbi, Abdu, 2009. "Exploring Determinant Factors of Bond Trading with Inventory Management Theory (Case Study of Indonesian Capital Market, January – March 2009)," MPRA Paper 59883, University Library of Munich, Germany, revised 16 Jul 2010.
    20. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    21. Jin, Xiaoye, 2015. "Volatility transmission and volatility impulse response functions among the Greater China stock markets," Journal of Asian Economics, Elsevier, vol. 39(C), pages 43-58.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gla:glaewp:2005_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Business School Research Team (email available below). General contact details of provider: https://edirc.repec.org/data/dpglauk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.