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.
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References
Malkiel, B.: A Random Walk Down the Wall Street. Norton, New York (1981)
Fama, E.F., Blume, M.: Filter rules and stock-market trading. J. Bus. 39, 226–241 (1966)
Murphy, J.: Technical Analysis of Financial Markets. New York Institute of Finance, New York (1999)
Kaufman, P.: Trading Systems and Methods. Wiley, New York (2013)
Brock, W., Lakonishok, J., LeBaron, B.: Simple technical trading rules and the stochastic properties of stock returns. J. Finan. 47(5), 1731–1764 (1992)
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)
Lo, A., MacKinley, A.: A Non-Random Walk down Wall Street. Princeton University Press, Princeton (1999)
Lo, A., Mamaysky, H., Wang, J.: Foundations of technical analysis: computational algorithms, statistical inference, and empirical implementation. J. Finan. 55(4), 1705–1765 (2000)
Pearson, K.: Notes on regression and inheritance in the case of two parents. Proc. R. Soc. Lond. 58, 240–242 (1895)
Scipy Community: Statistical functions in Python. http://docs.scipy.org/doc/scipy/reference/stats.html (2016)
Bossa.pl. http://bossa.pl/notowania/metastock. Accessed 15 Nov 2016
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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
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DOI: https://doi.org/10.1007/978-3-319-69989-9_24
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