IDEAS home Printed from https://ideas.repec.org/a/bla/jtsera/v23y2002i3p333-339.html
   My bibliography  Save this article

Cointegration in frequency domain

Author

Abstract

Existence of a cointegration relationship between two time series in the time domain imposes restrictions on the series zero‐frequency behaviour in terms of their squared coherence, phase and gain, in the frequency domain. I derive these restrictions by studying cross‐spectral properties of a cointegrated bivariate system. Specifically, I demonstrate that if two difference stationary series, Xt and Yt, are cointegrated with a cointegrating vector [1 b] and thus share a common stochastic trend, then at the zero frequency, the squared coherence of (1‐L)Xt and (1‐L)Yt will equal one, their phase will equal zero, and their gain will equal |b|.

Suggested Citation

  • D. Levy, 2002. "Cointegration in frequency domain," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(3), pages 333-339, May.
  • Handle: RePEc:bla:jtsera:v:23:y:2002:i:3:p:333-339
    DOI: 10.1111/1467-9892.00267
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9892.00267
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1467-9892.00267?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Daniel Levy, 2000. "Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(1), pages 100-137, January.
    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. E. E. Ioannidis & G. A. Chronis, 2005. "Extreme Spectra of Var Models and Orders of Near‐Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(3), pages 399-421, May.
    2. Nielsen, Morten Orregaard, 2004. "Spectral analysis of fractionally cointegrated systems," Economics Letters, Elsevier, vol. 83(2), pages 225-231, May.
    3. Burak Eroglu, 2017. "Wavelet Variance Ratio Test And Wavestrapping For The Determination Of The Cointegration Rank," Working Papers 1706, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    4. Claudio Morana, 2004. "Frequency domain principal components estimation of fractionally cointegrated processes," Applied Economics Letters, Taylor & Francis Journals, vol. 11(13), pages 837-842.
    5. Claudio Morana, 2004. "Some frequency domain properties of fractionally cointegrated processes," Applied Economics Letters, Taylor & Francis Journals, vol. 11(14), pages 891-894.
    6. Torre Cepeda Leonardo E. & Flores Segovia Miguel A., 2020. "Private Banking Credit and Economic Growth in Mexico: A State Level Panel Data Analysis 2005-2018," Working Papers 2020-17, Banco de México.
    7. Chiquiar Daniel & Ramos Francia Manuel, 2004. "Bilateral Trade and Business Cycle Synchronization: Evidence from Mexico and United States Manufacturing Industries," Working Papers 2004-05, Banco de México.
    8. Eroğlu, Burak Alparslan, 2019. "Wavelet variance ratio cointegration test and wavestrapping," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 298-319.
    9. Javier Fernandez-Macho, 2013. "A wavelet approach to multiple cointegration testing," Economics Series Working Papers 668, University of Oxford, Department of Economics.
    10. Nuno Alves, 2007. "Is the euro area M3 abandoning us?," Working Papers w200720, Banco de Portugal, Economics and Research Department.
    11. Patrick J. Wilson & L.J. Perry, 2004. "Forecasting Australian Unemployment Rates using Spectral Analysis," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(4), pages 459-480, December.
    12. Burak Eroglu & Kemal Caglar Gogebakan & Mirza Trokic, 2017. "Fractional Seasonal Variance Ratio Unit Root Tests," Working Papers 1707, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    13. Ramos Francia Manuel & Noriega Antonio E. & Rodríguez-Pérez Cid Alonso, 2015. "The Use of Monetary Aggregates as Indicators of the Future Evolution of Consumer Prices: Monetary Growth and Inflation Target," Working Papers 2015-14, Banco de México.
    14. Garcés Díaz Daniel, 2020. "On the Drivers of Inflation in Different Monetary Regimes," Working Papers 2020-16, Banco de México.

    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. Óscar Penagos Gómez & Héctor Rojas Serrano & Jacobo Campo Robledo, 2013. "La paradoja Feldstein – Horioka: Evidencia para Colombia (1925 – 2011)," Documentos de Trabajo 12393, Universidad Católica de Colombia.
    2. Levy, Daniel, 2004. "Is the Feldstein-Horioka Puzzle Really a Puzzle?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 49-66.
    3. Erdal Ozmen & Kağan Parmaksiz, 2003. "Exchange rate regimes and the Feldstein-Horioka puzzle: the French evidence," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 217-222.
    4. Phiri, Andrew, 2019. "The Feldstein-Horioka Puzzle and the Global Financial Crisis: Evidence from South Africa using Asymmetric Cointegration Analysis," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(2), pages 139-170.
    5. Hoffmann, Mathias, 2004. "International capital mobility in the long run and the short run: can we still learn from saving-investment data?," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 113-131, February.
    6. Óscar Penagos Gómez & Héctor Rojas Serrano & Jacobo Campo Robledo, 2015. "La Paradoja de Feldstein-Horioka – Evidencia para Colombia durante 1925-2011," Revista Ecos de Economía, Universidad EAFIT, vol. 19(40), pages 4-24, June.
    7. Phiri, Andrew, 2017. "The Feldstein-Horioka puzzle and the global recession period: Evidence from South Africa using asymmetric cointegration analysis," MPRA Paper 79096, University Library of Munich, Germany.
    8. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Antzoulatos, Angelos A., 1998. "Macroeconomic forecasts under the prism of error-correction models," Journal of Economics and Business, Elsevier, vol. 50(6), pages 535-550, November.
    10. Burton Hollifield & Robert A. Miller & Patrik Sandås, 2004. "Empirical Analysis of Limit Order Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(4), pages 1027-1063.
    11. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    12. Farmer, Roger E.A. & Nicolò, Giovanni, 2018. "Keynesian economics without the Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 137-150.
    13. Judith Giles & Cara Williams, 2001. "Export-led growth: a survey of the empirical literature and some non-causality results. Part 2," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 9(4), pages 445-470.
    14. Tyrväinen, Timo, 1991. "Unions, wages and employment: evidence from Finland," Bank of Finland Research Discussion Papers 16/1991, Bank of Finland.
    15. Flavio Vilela Vieira & Cleomar Gomes Da Silva, 2018. "Brics Export Performance: An Ardl Bounds Testing Empirical Investigation," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 101, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    16. K. Aleks Schaefer & Daniel Scheitrum, 2020. "Sewing terror: price dynamics of the strawberry needle crisis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), pages 229-243, April.
    17. Anatoly A. Peresetsky & Ruslan I. Yakubov, 2017. "Autocorrelation in an unobservable global trend: does it help to forecast market returns?," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 152-169.
    18. Muhammad AJMAIR & Khadim HUSSAIN & Sabahat AKRAM & Ambreen ZEB, 2017. "What determines the growth of services sector in Pakistan? A comparison of ARDL bound testing and time varying parametric estimation with general to specific approach," Turkish Economic Review, KSP Journals, vol. 4(3), pages 308-319, September.
    19. Santos, João & Domingos, Tiago & Sousa, Tânia & St. Aubyn, Miguel, 2016. "Does a small cost share reflect a negligible role for energy in economic production? Testing for aggregate production functions including capital, labor, and useful exergy through a cointegration-base," MPRA Paper 70850, University Library of Munich, Germany.
    20. Law, Siong Hook & Tan, Hui & baharumshah, ahmad, 1999. "Financial Liberalization in ASEAN and the Fisher Hypothesis," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 33, pages 65-86.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:bla:jtsera:v:23:y:2002:i:3:p:333-339. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0143-9782 .

    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.