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Über die Anwendbarkeit eines neuen Fluktuationstests für Korrelationen auf Finanzzeitreihen

Author

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  • Dominik Wied
  • Matthias Arnold
  • Nicolai Bissantz
  • Daniel Ziggel

Abstract

We analyze a new fluctuation test for constant correlation with respect to its properties and possible applications in finance. On the one hand, a simulation study examines the properties particularly with regard to a comparison with a previous standard method. On the other hand, we apply the test on real financial time series, evaluate the results with respect to their plausibility and reveal potential fields for further applications. The results indicate that the test is useful for practical applications in finance. Copyright Springer 2013

Suggested Citation

  • Dominik Wied & Matthias Arnold & Nicolai Bissantz & Daniel Ziggel, 2013. "Über die Anwendbarkeit eines neuen Fluktuationstests für Korrelationen auf Finanzzeitreihen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(3), pages 87-103, March.
    • Handle: RePEc:spr:astaws:v:6:y:2013:i:3:p:87-103
    DOI: 10.1007/s11943-012-0115-9
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    References listed on IDEAS

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    1. Alessio Sancetta & Steve E. Satchell, 2007. "Changing Correlation and Equity Portfolio Diversification Failure for Linear Factor Models during Market Declines," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(3), pages 227-242.
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    4. Kaplanis, Evi C., 1988. "Stability and forecasting of the comovement measures of international stock market returns," Journal of International Money and Finance, Elsevier, vol. 7(1), pages 63-75, March.
    5. Wied, Dominik & Dehling, Herold & van Kampen, Maarten & Vogel, Daniel, 2014. "A fluctuation test for constant Spearman’s rho with nuisance-free limit distribution," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 723-736.
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    8. Galeano, Pedro & Wied, Dominik, 2014. "Multiple break detection in the correlation structure of random variables," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 262-282.
    9. Wied, Dominik & Krämer, Walter & Dehling, Herold, 2012. "Testing For A Change In Correlation At An Unknown Point In Time Using An Extended Functional Delta Method," Econometric Theory, Cambridge University Press, vol. 28(3), pages 570-589, June.
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    Cited by:

    1. Tobias Berens & Dominik Wied & Daniel Ziggel, 2014. "Automated Portfolio Optimization Based on a New Test for Structural Breaks," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 2(2), pages 243-264, April.
    2. Robert Garthoff, 2014. "Sequentielle Überwachung von Finanzzeitreihen anhand von Residuenkarten," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(3), pages 91-113, September.
    3. Ralf Münnich, 2013. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(3), pages 83-85, March.
    4. Ralf Thomas Münnich, 2014. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(3), pages 89-90, September.

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    More about this item

    Keywords

    Korrelation; Strukturbrüche; Portfoliooptimierung; C12; C14; G01; G11; Correlation; Structural break; Portfolio optimization;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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