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Causal Variation: Exploring the Non-Random in Stock Price, Stock Index, Sales, and Accounting Time Series

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  • Keith I. Taylor
  • Halil Kiymaz

Abstract

We show two methods for measuring non-random observations using statistical control software, specifically SigmaXL, across diverse time series. First, we use an error counting method based on eight non-random rules of statistical control charts, and subsequently we assign a dollar value to each of those non-random observations to evaluate non-random to random rates. The computed error rates are also compared to a randomly generated sample of 100K and the corresponding probably of occurrence. Finally, these methods, coupled with a new indicator, the Taylor-Kiymaz multiple, allow for the comparison of stock prices, market indexes, sales metrics, chart of accounts across many time periods.

Suggested Citation

  • Keith I. Taylor & Halil Kiymaz, 2023. "Causal Variation: Exploring the Non-Random in Stock Price, Stock Index, Sales, and Accounting Time Series," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 12(1), pages 39-49, April.
    • Handle: RePEc:jfr:jbar11:v:12:y:2023:i:1:p:39-49
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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