Skip to main content

Persistent Correlations in Major Indices of the World Stock Markets

  • Chapter
  • First Online:
Complex Systems: Solutions and Challenges in Economics, Management and Engineering

Abstract

Time-dependent cross-correlation functions have been calculated between returns of the major indices of the world stock markets. One-, two-, and three-day shifts have been considered. Surprisingly high and persistent-in-time correlations have been found among some of the indices. Part of those correlations can attributed to the geographical factors, for instance, strong correlations between two major Japanese indices have been observed. The reason for other, somewhat exotic correlations, appear to be as much accidental as it is apparent. It seems that the observed correlations may be of practical value in the stock market speculations.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Tables will be properly formatted in the camera-ready version of the paper.

  2. 2.

    References will be properly formatted in the camera-ready version of the paper.

References

  1. Malkiel, B.: A Random Walk Down the Wall Street. Norton, New York (1981)

    Google Scholar 

  2. Fama, E.F., Blume, M.: Filter rules and stock-market trading. J. Bus. 39, 226–241 (1966)

    Article  Google Scholar 

  3. Murphy, J.: Technical Analysis of Financial Markets. New York Institute of Finance, New York (1999)

    Google Scholar 

  4. Kaufman, P.: Trading Systems and Methods. Wiley, New York (2013)

    Google Scholar 

  5. Brock, W., Lakonishok, J., LeBaron, B.: Simple technical trading rules and the stochastic properties of stock returns. J. Finan. 47(5), 1731–1764 (1992)

    Article  Google Scholar 

  6. Lo, A., MacKinley, A.: Stock market prices do not follow random walks: evidence from a simple specification test. Rev. Finan. Stud. 1, 41–66 (1988)

    Article  Google Scholar 

  7. Lo, A., MacKinley, A.: A Non-Random Walk down Wall Street. Princeton University Press, Princeton (1999)

    Google Scholar 

  8. Lo, A., Mamaysky, H., Wang, J.: Foundations of technical analysis: computational algorithms, statistical inference, and empirical implementation. J. Finan. 55(4), 1705–1765 (2000)

    Article  Google Scholar 

  9. Pearson, K.: Notes on regression and inheritance in the case of two parents. Proc. R. Soc. Lond. 58, 240–242 (1895)

    Article  Google Scholar 

  10. Scipy Community: Statistical functions in Python. http://docs.scipy.org/doc/scipy/reference/stats.html (2016)

  11. Bossa.pl. http://bossa.pl/notowania/metastock. Accessed 15 Nov 2016

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maciej Janowicz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Janowicz, M., Chmielewski, L.J., Kaleta, J., Ochnio, L., Orłowski, A., Zembrzuski, A. (2018). Persistent Correlations in Major Indices of the World Stock Markets. In: Berger-Vachon, C., Gil Lafuente, A., Kacprzyk, J., Kondratenko, Y., Merigó, J., Morabito, C. (eds) Complex Systems: Solutions and Challenges in Economics, Management and Engineering. Studies in Systems, Decision and Control, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-319-69989-9_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69989-9_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69988-2

  • Online ISBN: 978-3-319-69989-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics