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Normality

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Trading Systems

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

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Abstract

It makes a lot of difference if the stochastic process that governs the time series of prices can be worked out in an analytical form or not.

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Notes

  1. 1.

    In reality what follows applies in much more general hypotheses. The η must all have the same probability distribution, even a probability distribution more general than that we are talking about, one that does not necessarily imply that each value is equally likely.

  2. 2.

    Very few stable distributions are known in closed form.

  3. 3.

    Remember that these functions are available in any worksheet.

  4. 4.

    The formula is exact only for a number of bins greater than 35, but the response, using a special table (Kanji 1993), would not be different.

References

  • Di Lorenzo R (2011) Cassandra non era un’idiota. Springer, Milano

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  • Feller W (1968) An introduction to probability theory and its applications, vol 1 and 2. Wiley, New York

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  • Kanji GK (1993) 100 Statistical tests. Sage, London

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  • Pancini E (1965) Misureedapparecchi di fisica. Veschi, Roma

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  • Von Mises R (1957) Probability, statistics and truth. Dover, 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). Normality. In: Trading Systems. Perspectives in Business Culture. Springer, Milano. https://doi.org/10.1007/978-88-470-2706-0_5

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