(Translated by https://www.hiragana.jp/)
Modeling nonlinear and heterogeneous dynamic linkages in international monetary markets
IDEAS home Printed from https://ideas.repec.org/p/dpc/wpaper/1410.html
   My bibliography  Save this paper

Modeling nonlinear and heterogeneous dynamic linkages in international monetary markets

Author

Listed:
  • Mohamed El Hedi Arouri

    (LEO, University of Orleans and EDHEC Business School Rue de Blois - BP 6739, 45067 Orléans Cedex 2, France)

  • Fredj Jawadi

    (Amiens School of Management and EconomiX-CNRS 18, place Saint Michel, 80000 Amiens cedex, France)

  • Khuong Nguyen Duc

    (Professor of Finance, ISC Paris School of Management 22 Boulevard du Fort de Vaux, 75848 Paris cedex 17, France)

Abstract

In this paper we examine the dynamic linkages of international monetary markets over the 2004 - 2009 period using daily short-term interbank interest rates of three of the most advanced countries (France, United Kingdom and United States). Empirical results from vector error-correction models (VECM) and smooth transition error-correction models (STECM) indicate strong evidence of nonlinear and heterogeneous causalities between the three interest rates considered. We also find that exogenous shifts in the US short-term interest rate led those in France and in the UK within a horizon of one to two days. Finally, the national interest rate nexus appears to nonlinearly converge towards a steady state or a common long-run equilibrium because it is subject to structural change beyond a certain interest rate threshold. Our findings have important implications for the actions of leading central banks (ECB, Bank of England, and US Fed) since the behavior of short-term interest rates can be viewed as an indicator of the degree of central banks’ policy interdependence.

Suggested Citation

  • Mohamed El Hedi Arouri & Fredj Jawadi & Khuong Nguyen Duc, 2010. "Modeling nonlinear and heterogeneous dynamic linkages in international monetary markets," Working Papers 14, Development and Policies Research Center (DEPOCEN), Vietnam.
    • Handle: RePEc:dpc:wpaper:1410
    as

    Download full text from publisher

    File URL: http://www.depocenwp.org/upload/pubs/NguyenDucKhuong/Dynamic%20linkages%20in%20monetary%20markets_WP.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:ipg:wpaper:2014-553 is not listed 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. Bel, K. & Paap, R., 2013. "Modeling the impact of forecast-based regime switches on macroeconomic time series," Econometric Institute Research Papers EI 2013-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.
    3. Jawadi, Fredj & Soparnot, Richard & Sousa, Ricardo M., 2017. "Assessing financial and housing wealth effects through the lens of a nonlinear framework," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 840-850.
    4. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
    5. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2015. "The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US," Applied Economics, Taylor & Francis Journals, vol. 47(22), pages 2259-2277, May.
    6. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    7. Milas Costas & Legrenzi Gabriella, 2006. "Non-linear Real Exchange Rate Effects in the UK Labour Market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(1), pages 1-34, March.
    8. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    9. Pontines, Victor, 2015. "How useful is an Asian Currency Unit (ACU) index for surveillance in East Asia?," Economic Systems, Elsevier, vol. 39(2), pages 269-287.
    10. Wang, Rudan & Morley, Bruce & Stamatogiannis, Michalis P., 2019. "Forecasting the exchange rate using nonlinear Taylor rule based models," International Journal of Forecasting, Elsevier, vol. 35(2), pages 429-442.
    11. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    12. Saglio, Sophie & López-Villavicencio, Antonia, 2012. "Introducing price-setting behaviour in the Phillips Curve: the role of nonlinearities," MPRA Paper 46646, University Library of Munich, Germany.
    13. Libman, Emiliano, 2017. "Asymmetric Monetary and Exchange Rate Policies in Latin America," MPRA Paper 78864, University Library of Munich, Germany.
    14. Param Silvapulle & Titi Kanti Lestari & Jae Kim, 2004. "Nonlinear Modelling of Purchasing Power Parity in Indonesia," Econometric Society 2004 Australasian Meetings 316, Econometric Society.
    15. Menzie Chinn & Laurent Ferrara & Valérie Mignon, 2013. "Post-recession US employment through the lens of a non-linear Okun’s law," Working Papers hal-04141207, HAL.
    16. Kim, Sei-wan & Lee, Kihoon & Nam, Kiseok, 2010. "The relationship between CO2 emissions and economic growth: The case of Korea with nonlinear evidence," Energy Policy, Elsevier, vol. 38(10), pages 5938-5946, October.
    17. NIDHALEDDINE BEN CHEIKH & SAMI BEN NACEUR & OUSSAMA KANAAN & Christophe RAULT, 2019. "Oil Prices and GCC Stock Markets: New Evidence from Vector Smooth Transition Models," LEO Working Papers / DR LEO 2697, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    18. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.
    19. Chen, XiaoHua & Maringer, Dietmar, 2011. "Detecting time-variation in corporate bond index returns: A smooth transition regression model," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 95-103, January.
    20. JAWADI Fredj, 2008. "Does nonlinear econometrics confirm the macroeconomic models of consumption?," Economics Bulletin, AccessEcon, vol. 5(17), pages 1-11.

    More about this item

    Keywords

    international monetary market relationships; short-term interest rates; VECMs and STECMs;
    All these keywords.

    JEL classification:

    • B22 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Macroeconomics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy

    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:dpc:wpaper:1410. 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: Doan Quang Hung (email available below). General contact details of provider: https://edirc.repec.org/data/depocvn.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.