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Wavelet Correlation Coefficient of 'strongly correlated' financial time series

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  • Ashok Razdan

Abstract

In this paper we use wavelet concepts to show that correlation coefficient between two financial data's is not constant but varies with scale from high correlation value to strongly anti-correlation value This studies is important because correlation coefficient is used to quantify degree of independence between two variables. In econophysics correlation coefficient forms important input to evolve hierarchial tree and minimum spanning tree of financial data.

Suggested Citation

  • Ashok Razdan, 2003. "Wavelet Correlation Coefficient of 'strongly correlated' financial time series," Papers cond-mat/0303099, arXiv.org, revised Oct 2003.
    • Handle: RePEc:arx:papers:cond-mat/0303099
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    File URL: http://arxiv.org/pdf/cond-mat/0303099
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