Log in

Spectral analysis of stock data series and evidence of day-of-the-week effects

  • Applied Mathematics And Mechanics
  • Published:
Journal of Shanghai University (English Edition)

Abstract

Daily return series of Dow Jones Industrial Average Index (DJIA) and Shanghai Conposite Index are investigated using spectral analysis methods. The day-of-the-week effect is found in the frequency domain in both stock markets. Time-domain performances of the daily returns are also studied. Although both markets have a clear weekly component in the frequency domain, they show some different behaviors with respect to the day-of-the-week effects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Cross F. The behavior of stock returns and the weekend effect[J]. Financial Analysts Journal, 1973, 29(6): 67–69.

    Article  Google Scholar 

  2. French K. Stock returns and the weekend effect [J]. Journal of Financial Economics, 1980, 8(1): 55–69.

    Article  Google Scholar 

  3. Jaffe J and Westerfield R. The week-end effect in common stock returns: the international evidence[J]. Journal of Finance, 1985,40(2): 433–454.

    Article  Google Scholar 

  4. Connolly R. An examination of the robustness of the weekend effect[J]. Journal of Financial and Quantitative Analysts, 1989,24(2): 133–169.

    Article  MathSciNet  Google Scholar 

  5. Kamath R and Chakornpipat R. Return distributions and the day-of-the-week effects in the stock exchange of thailand[J]. Journal of Economics and Finance, 1998,22 (2–3): 97–106.

    Google Scholar 

  6. Sias R W and Starks L T. The day-of-the-week anomaly: the role of institutional investors [J]. Financial Analysts Journal, 1995,51(3): 58–66.

    Article  Google Scholar 

  7. Osborne M F M. Brownian motion in the stock market [J]. Operations Research, 1959,7: 145–173.

    Article  MathSciNet  Google Scholar 

  8. Dow Jones Industrial Average 30[EB/OL]. http:// www. quotewatch.com/exchanges/dowindu. html

  9. Shanghai Composite Index [DB/OL]. http://quote, stockstar. com/stock/external- history, asp

  10. Wang H. Random Digital Signal Processing [M] Science Press, Bei**g, 1988 (in Chinese).

    Google Scholar 

  11. Wang H. Modern Spectral Estimation [M]. Southeast University Publishing Co., Nan**g 1991 (in Chinese).

    Google Scholar 

  12. Sang H W, Ma T, and Wang S Z. Hurst exponent analysis of financial time series[J]. Journal of Shanghai University, 2001,5(4):269–272.

    MATH  MathSciNet  Google Scholar 

  13. Ma T, Sang H W, and Wang S Z. Studies on compass rose and discreteness in time series of stock price increments[J]. Journal of Shanghai University, 2001,7 (3): 273–277 (in Chinese).

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Li, WH., Wang, SZ. Spectral analysis of stock data series and evidence of day-of-the-week effects. J. of Shanghai Univ. 6, 136–140 (2002). https://doi.org/10.1007/s11741-002-0021-4

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11741-002-0021-4

Key words

MSC 2000

Navigation