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

Author

Listed:
  • Prasert Chaitip

    (Chiang Mai University, Thailand)

  • Songsak Sriboonchitta

    (Chiang Mai University, Thailand)

  • Peter Balogh

    (University of Debrecen, Hungary)

  • Chukiat Chaiboonsri

    () (Chiang Mai University, Thailand)

Abstract

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
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    File URL: http://upet.ro/annals/economics/pdf/2010/20100309.pdf
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    References listed on IDEAS

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    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.
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    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

    Keywords

    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

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