IDEAS home Printed from https://ideas.repec.org/a/nye/nyervw/v40y2009i1p3-12.html
   My bibliography  Save this article

The Slope of the U.S. Nominal Treasury Yield Curve and the Exchange Rate

Author

Listed:
  • Matiur Rahman
  • Muhammad Mustafa

Abstract

This paper examines the role of the exchange rate in the determination of the slope of the nominal Treasury yield curve in the context of the U.S.A. Monthly data from June 1976 through June 2005 are utilized. This paper concludes that changes in the U.S. dollar value index significantly influence the changes in the slope of the U.S. nominal Treasury yield curve. As a result, the exchange rate should be included as one of the explanatory variables in the yield curve empirics.

Suggested Citation

  • Matiur Rahman & Muhammad Mustafa, 2009. "The Slope of the U.S. Nominal Treasury Yield Curve and the Exchange Rate," New York Economic Review, New York State Economics Association (NYSEA), vol. 40(1), pages 3-12.
  • Handle: RePEc:nye:nyervw:v:40:y:2009:i:1:p:3-12
    as

    Download full text from publisher

    File URL: http://www.nyecon.net/nysea/publications/nyer/2009/NYER_2009_p003.pdf
    Download Restriction: no

    File URL: http://www.nyecon.net/nysea/publications/nyer/2009/NYER_2009_p003.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hordahl, Peter & Tristani, Oreste & Vestin, David, 2006. "A joint econometric model of macroeconomic and term-structure dynamics," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 405-444.
    2. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July.
    3. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    4. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    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. Fousseni Chabi-Yo & Jun Yang, 2007. "A No-Arbitrage Analysis of Macroeconomic Determinants of Term Structures and the Exchange Rate," Staff Working Papers 07-21, Bank of Canada.
    2. Vázquez, Jesús & María-Dolores, Ramón & Londoño, Juan-Miguel, 2013. "On the informational role of term structure in the US monetary policy rule," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1852-1871.
    3. Ramón María-Dolores & Jesús Vázquez, 2008. "Term structure and the estimated monetary policy rule in the Eurozone," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(4), pages 251-277, December.
    4. Luciano Vereda & Hélio Lopes & Jessica Kubrusly & Adrian Pizzinga & Taofik Mohammed Ibrahim, 2014. "Yield Curve Forecasts and the Predictive Power of Macro Variables in a VAR Framework," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 377-393.
    5. Andrea Ajello & Luca Benzoni & Olena Chyruk & Stijn Van Nieuwerburgh, 2020. "Core and ‘Crust’: Consumer Prices and the Term Structure of Interest Rates," The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3719-3765.
    6. Kaya, Huseyin, 2013. "The yield curve and the macroeconomy: Evidence from Turkey," Economic Modelling, Elsevier, vol. 32(C), pages 100-107.
    7. Argyropoulos, Efthymios & Tzavalis, Elias, 2016. "Forecasting economic activity from yield curve factors," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 293-311.
    8. Ramón Maria-Dolores & Jesus Vazquez, 2006. "The relative importance of Term Spread, Policy Inertia and Persistent Monetary Policy Shocks in Monetary Policy Rules," Computing in Economics and Finance 2006 6, Society for Computational Economics.
    9. Matteo Modena, 2008. "An Empirical Analysis of the Curvature Factor of the Term Structure of Interest Rates," Working Papers 2008_35, Business School - Economics, University of Glasgow.
    10. Jun Yang, 2008. "Macroeconomic Determinants of the Term Structure of Corporate Spreads," Staff Working Papers 08-29, Bank of Canada.
    11. Matsumura, Marco & Moreira, Ajax & Vicente, José, 2011. "Forecasting the yield curve with linear factor models," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 237-243.
    12. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2017. "Anchoring the yield curve using survey expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1055-1068, September.
    13. Evangelos Salachas & Georgios P. Kouretas & Nikiforos T. Laopodis, 2024. "The term structure of interest rates and economic activity: Evidence from the COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1018-1041, July.
    14. Pericoli, Marcello & Taboga, Marco, 2012. "Bond risk premia, macroeconomic fundamentals and the exchange rate," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 42-65.
    15. Niels Haldrup & Carsten P. T. Rosenskjold, 2019. "A Parametric Factor Model of the Term Structure of Mortality," Econometrics, MDPI, vol. 7(1), pages 1-22, March.
    16. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2010. "New Keynesian Macroeconomics and the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 33-62, February.
    17. Adam Traczyk, 2013. "Financial integration and the term structure of interest rates," Empirical Economics, Springer, vol. 45(3), pages 1267-1305, December.
    18. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    19. Glenn D. Rudebusch & Eric T. Swanson & Tao Wu, 2006. "The Bond Yield "Conundrum" from a Macro-Finance Perspective," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 24(S1), pages 83-109, December.
    20. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.

    More about this item

    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:nye:nyervw:v:40:y:2009:i:1:p:3-12. 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: Eryk Wdowiak (email available below). General contact details of provider: https://edirc.repec.org/data/nyseaea.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.