IDEAS home Printed from
   My bibliography  Save this article

On Tests For Long-Term Dependence: India’s International Tourism Market


  • Prasert Chaitip

    (Chiang Mai University, Thailand)

  • Songsak Sriboonchitta

    (Chiang Mai University, Thailand)

  • Peter Balogh

    (University of Debrecen, Hungary)

  • Chukiat Chaiboonsri

    () (Chiang Mai University, Thailand)


There has been growing interest in studying behaviour of long memory process in tourism market. In this research examine the behaviour of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries. For example, tourists from USA, tourists from UK, tourists from Canada, tourists from Germany, tourists from France, tourists from Japan, tourists from Malaysia, tourists from Australia and tourists form Sri Lanka. Moreover, three statistical test for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to test in these markets. The empirical findings in general provide more support for no long memory process or no long-term dependence in international tourism market of India.

Suggested Citation

  • Prasert Chaitip & Songsak Sriboonchitta & Peter Balogh & Chukiat Chaiboonsri, 2010. "On Tests For Long-Term Dependence: India’s International Tourism Market," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 87-94.
  • Handle: RePEc:pet:annals:v:10:y:2010:i:3:p:87-94

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2002. "Fractional integration and mean reversion in stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(3), pages 599-609.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. María Ramos, 2014. "Context fractal market price policy," REVISTA DE ECONOMÍA Y ADMINISTRACIÓN, UNIVERSIDAD AUTÓNOMA DE OCCIDENTE, September.

    More about this item


    India; Long-memory process; Long-term dependence; International; Tourism Market;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism


    Access and download statistics


    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:pet:annals:v:10:y:2010:i:3:p:87-94. 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: (Imola Driga). General contact details of provider: .

    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.