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A detrended cross correlation analysis for stock markets of the United States, Japan, and the Europe

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  • Ikeda, Taro

Abstract

This paper investigates the long range cross covariances among the stock price returns for the United States, Japan, and the Europe. Empirical results suggest that the stock price returns of these regions have cross covariances of slow moving fluctuations.

Suggested Citation

  • Ikeda, Taro, 2017. "A detrended cross correlation analysis for stock markets of the United States, Japan, and the Europe," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 194-198.
    • Handle: RePEc:eee:phsmap:v:484:y:2017:i:c:p:194-198
    DOI: 10.1016/j.physa.2017.05.004
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    References listed on IDEAS

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    1. Robin Brooks & Marco Del Negro, 2006. "Firm-Level Evidence on International Stock Market Comovement," Review of Finance, European Finance Association, vol. 10(1), pages 69-98.
    2. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    3. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    4. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    5. Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-538.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Dongwei, Chen & Fei, Hu & Jingjing, Xu & lei, Liu, 2019. "Long-range correlation analysis among non-stationary passive scalar series in the turbulent boundary layer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 290-296.

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    More about this item

    Keywords

    Long range dependence; Stock price returns; Power-law distributions;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • E39 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Other
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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