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Seasonal Integration For Daily Data

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  • Akira Tokihisa
  • Shigeyuki Hamori

Abstract

This paper has two purposes: it introduces the econometric methods used to analyze time series data with general frequency and presents a framework for analyzing economic variables that are measured daily; this special case is then applied to the trading volume of stock markets.

Suggested Citation

  • Akira Tokihisa & Shigeyuki Hamori, 2001. "Seasonal Integration For Daily Data," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 187-200.
    • Handle: RePEc:taf:emetrv:v:20:y:2001:i:2:p:187-200
    DOI: 10.1081/ETC-100103822
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    References listed on IDEAS

    as
    1. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    2. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    3. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
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    Cited by:

    1. Méndez Parra, Maximiliano, 2015. "Futures prices, trade and domestic supply of agricultural commodities," Economics PhD Theses 0115, Department of Economics, University of Sussex Business School.

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    More about this item

    Keywords

    Seasonal unit roots; Asymptotic distribution; Stock markets; JEL Classifcation Number: C12; C15; and C22;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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