IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04926600.html
   My bibliography  Save this paper

Identifying extreme values of exchange market pressure

Author

Listed:
  • Mohammad Karimi

    (Carleton University)

  • Marcel Voia

    (UO - Université d'Orléans, UniBuc - University of Bucharest)

Abstract

This paper contributes to the existing literature of currency crisis dating in a number of areas. Firstly, we combine the Monte Carlo simulation with a modified version of the Hill’s estimator to obtain robust results and deal with the bias–variance tradeoff in identifying extreme values. Secondly, to avoid sample- specific thresholds, we construct our results upon stationary series with the help of the Hill’s estimator. We also report the whole identified crisis episodes while disregarding the exclusion window technique, which may induce identification problems. To select the reference country when building the exchange market pressure, a statistical search between two exogenously given options is employed. Thirdly, different data frequencies are applied and the results are evaluated. Our findings suggest that higher frequency data are more appropriate when applying extreme value theory (EVT). Our results recommend researchers to be more cautious when applying EVT and interpreting tail incidences that are obtained from lower frequency data. Copyright Springer-Verlag Berlin Heidelberg 2015
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mohammad Karimi & Marcel Voia, 2014. "Identifying extreme values of exchange market pressure," Post-Print hal-04926600, HAL.
  • Handle: RePEc:hal:journl:hal-04926600
    DOI: 10.1007/s00181-014-0851-5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • G01 - Financial Economics - - General - - - Financial Crises

    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:hal:journl:hal-04926600. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.