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Some International Evidence on the Seasonality of Stock Prices

Author

Listed:
  • Shigeyuki Hamori

    (Faculty of Economics, Kobe University, Japan)

  • Akira Tokihisa

    (Faculty of Economics, Kobe University, Japan)

Abstract

This paper performs seasonal integration tests based on stock price indices for the G7 countries. Nonseasonal unit roots were found in all countries. This implies that the (1-B) filter is all that is needed to obtain the stationarity of stock prices, and the inclusion of dummy variables is all that is needed to consider seasonality in stock prices.

Suggested Citation

  • Shigeyuki Hamori & Akira Tokihisa, 2002. "Some International Evidence on the Seasonality of Stock Prices," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 1(1), pages 79-86, April.
  • Handle: RePEc:ijb:journl:v:1:y:2002:i:1:p:79-86
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    References listed on IDEAS

    as
    1. Shin, Dong Wan & So, Beong Soo, 2000. "Gaussian tests for seasonal unit roots based on Cauchy estimation and recursive mean adjustments," Journal of Econometrics, Elsevier, vol. 99(1), pages 107-137, November.
    2. Peiro, Amado, 1994. "Daily seasonality in stock returns : Further international evidence," Economics Letters, Elsevier, vol. 45(2), pages 227-232, June.
    3. Canova, Fabio & Hansen, Bruce E, 1995. "Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 237-252, July.
    4. Lee, Hahn Shik & Siklos, Pierre L., 1991. "Unit roots and seasonal unit roots in macroeconomic time series : Canadian evidence," Economics Letters, Elsevier, vol. 35(3), pages 273-277, March.
    5. 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.
    6. Taylor, A M Robert & Leybourne, Stephen J, 1999. "Detecting Seasonal Unit Roots: An Approach Based on the Sample Autocorrelation Function," Manchester School, University of Manchester, vol. 67(3), pages 261-286, June.
    7. Caner, Mehmet, 1998. "A Locally Optimal Seaosnal Unit-Root Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 349-356, July.
    8. Ariel, Robert A., 1987. "A monthly effect in stock returns," Journal of Financial Economics, Elsevier, vol. 18(1), pages 161-174, March.
    9. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
    10. Ghysels, Eric & Lee, Hahn S. & Noh, Jaesum, 1994. "Testing for unit roots in seasonal time series : Some theoretical extensions and a Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 62(2), pages 415-442, June.
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    Citations

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    Cited by:

    1. Jeffrey E. Jarrett, 2008. "Predicting Daily Stock Returns: A Lengthy Study of the Hong Kong and Tokyo Stock Exchanges," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 7(1), pages 37-51, April.

    More about this item

    Keywords

    seasonal integration; stock prices; monthly effects;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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