IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/33436.html
   My bibliography  Save this paper

Exchange rate determination in Jamaica: A market microstructures and macroeconomic fundamentals approach

Author

Listed:
  • Wright, Allan S
  • Craigwell, Roland C
  • RamjeeSingh, Diaram

Abstract

This paper uses hybrid models that combine economic fundamentals and micro-market variables to investigate the behaviour of US/Jamaica exchange rate. The co-integration analysis applied to post 2000 monthly data indicates, in contrast to previous studies done on Jamaica that these models give a better fit, produce parameter estimates with sensible signs and sizes and allow for long run relationships which are not present when the micro-based variables are excluded.

Suggested Citation

  • Wright, Allan S & Craigwell, Roland C & RamjeeSingh, Diaram, 2011. "Exchange rate determination in Jamaica: A market microstructures and macroeconomic fundamentals approach," MPRA Paper 33436, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:33436
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/33436/1/MPRA_paper_33436.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290 World Scientific Publishing Co. Pte. Ltd..
    2. Kim, Suk-Joong & Sheen, Jeffrey, 2006. "Interventions in the Yen-dollar spot market: A story of price, volatility and volume," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3191-3214, November.
    3. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Rohan Longmore & Wayne Robinson, 2005. "Modelling and Forecasting Exchange Rate Dynamics in Jamaica: an Application of Asymmetric Volatility Models," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 23-56, January-J.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    7. Jonathan Kearns & Roberto Rigobon, 2003. "Identifying the Efficacy of Central Bank Interventions: Evidence from Australia," RBA Research Discussion Papers rdp2003-04, Reserve Bank of Australia.
    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. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.
    2. Works, Richard & Haan, Perry, 2017. "An Empirical Study of Japanese and South Korean Exchange Rates Using the Sticky-Price Monetary Theory," MPRA Paper 77235, University Library of Munich, Germany.
    3. Hina, Hafsa & Qayyum, Abdul, 2015. "Exchange Rate Determination and Out of Sample Forecasting: Cointegration Analysis," MPRA Paper 61997, University Library of Munich, Germany.

    More about this item

    Keywords

    Exchange Rates; Microstructure; Co-integration;

    JEL classification:

    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • F3 - International Economics - - International Finance
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:pra:mprapa:33436. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.