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Analysing digits for portfolio formation and index tracking

Author

Listed:
  • Peter N Posch

    (Department of Finance. University of Ulm)

  • Welf A Kreiner

    (Department of Finance. University of Ulm)

Abstract

A general methodology is proposed for using digit distributions as an approach to examining arbitrary datasets. With the Newcomb–Benford law as a starting point, a more general framework for digital analysis is developed. A new measure is proposed based on this framework, namely the Digital-Fit Factor (DFF). The use of index comparison on the S&P500 and the Dow Jones Industrial Average is demonstrated. The DFF is then used to construct portfolios and measure their performance compared with that of the index. The average returns using the measure exceed the index composition by 6–14 percentage points per year by being more stable at the same time. Furthermore, these measures require only a very small proportion of the available information and are thus very efficient.

Suggested Citation

  • Peter N Posch & Welf A Kreiner, 2006. "Analysing digits for portfolio formation and index tracking," Journal of Asset Management, Palgrave Macmillan, vol. 7(1), pages 69-80, May.
    • Handle: RePEc:pal:assmgt:v:7:y:2006:i:1:d:10.1057_palgrave.jam.2240203
    DOI: 10.1057/palgrave.jam.2240203
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