IDEAS home Printed from https://ideas.repec.org/a/bcr/ensayo/v1y2014i71p40-71.html
   My bibliography  Save this article

An Analysis of Real Exchange Rate Misalignments under Regime Shifts in Argentina

Author

Listed:
  • Daniel Aromí

    (IIEP UBA-Conicet)

  • Marcos Dal Bianco

    (BBVA Research)

Abstract

We analyzed the presence of different mean and variance regimens for the misalignment of the real exchange rate of Argentina using a switching regimen Markov model with time-varying transition probabilities. Our estimates identified two states in the mean of the real exchange rate misalignment associated with real appreciations and depreciations, being the latter more persistent than the former. On the other hand, we only found one state for the variance of those imbalances. Besides, a close temporal correlation between the mayor stabilization plans and the appreciated state is verified. Finally, we showed that using time-varying transition probabilities is proper approach, being those probabilities explained by domestic variables, like the inflation rate, and international variables, like the US interest rate.

Suggested Citation

  • Daniel Aromí & Marcos Dal Bianco, 2014. "An Analysis of Real Exchange Rate Misalignments under Regime Shifts in Argentina," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(71), pages 40-71, December.
  • Handle: RePEc:bcr:ensayo:v:1:y:2014:i:71:p:40-71
    as

    Download full text from publisher

    File URL: http://www.bcra.gov.ar/Pdfs/Investigaciones/71_Aromi.pdf
    File Function: Spanish version (versión en Español)
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Argentina; real exchange rate; real imbalances; regime switching models;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:bcr:ensayo:v:1:y:2014:i:71:p:40-71. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Federico Grillo (email available below). General contact details of provider: https://edirc.repec.org/data/bcraaar.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.