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Autocorrelation

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Trading Systems

Part of the book series: Perspectives in Business Culture ((PEPIBC))

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Abstract

We are back again confronted with a major issue: can we really infer from the past prices something about the future prices? Is there some insurance policy we may subscribe on this subject?

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Notes

  1. 1.

    In the two worksheets, the correlation coefficient is first calculated using an Excel formula, then it is tested using the formula \( \rho = {{{{\sigma_{XY}}}} \left/ {{\left( {{\sigma_X}{\sigma_Y}} \right)}} \right.} \).

  2. 2.

    We have used the test already used for the same purpose.

Reference

  • Spiegel MR (1975) Probability and statistics. McGraw-Hill, New York

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Correspondence to Renato Di Lorenzo .

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© 2013 Springer-Verlag Italia

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Di Lorenzo, R. (2013). Autocorrelation. In: Trading Systems. Perspectives in Business Culture. Springer, Milano. https://doi.org/10.1007/978-88-470-2706-0_7

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