Mathematical and Statistical Methods for Actuarial Sciences and Finance

(Nora) #1
Checking financial markets via Benford’s law: the S&P 500 case 101

5 Conclusions


To the best of our knowledge, several aspects concerning the use of Benford’s law-
based analyses in financial markets have not yet been investigated. Among the various
ones, we consider the following:



  • Given the few studies on this topic, the actual capability of this kind of approach
    to detect anomalous behaviours in financial markets has to be carefully checked
    and measured. To this end, the systematic applications of these approaches to a
    large number of different financial markets is needed;

  • From a methodological point of view, we guess that restricting the analysis we
    performed in this paper to the different sectors compounding the financial market
    could be useful for detecting, in the case of anomalous behaviours of the market
    as a whole, which sectors are the most reliable;

  • We guess also that, in order to make this analysis more careful, we should at
    least take into account the probability distribution of the second significant digit
    (see [6]), i.e.,


Pr(second significant digit=d)=log 10

∑^9

k= 1

(

1 +

1

10 k+d

)

, d= 0 ,..., 9 ;^6


  • Finally, the results we presented in this paper areex post. Currently, we are be-
    ginning to develop and apply a new Benford’s law-based approach in order to
    check some predictive capabilities. The first very preliminary results seem to be
    encouraging.


References



  1. Adhikari, A., Sarkar, B.: Distribution of most significant digit in certain functions whose
    arguments are random variables. Sankhya, Series B 30, 47–58 (1968)

  2. Benford, F.: The law of anomalous numbers. Proc. Am. Phil. Soc. 78, 551–572 (1938)

  3. De Ceuster, M.J.K., Dhaene, G., Schatteman T.: On the hypothesis of psychological
    barriers in stock markets and Benford’s law. J. Emp. Finan. 5, 263–279 (1998)

  4. Diekmann, A.: Note the first digit! Using Benford’s law to detect fraudulent scientific
    data. J. Appl. Stat. 34, 321–329 (2007)

  5. G ̈unnel, S., Todter, K-H.: Does Benford’s law hold in economic research and forecasting? ̈
    Discussion Paper, Series 1: Economic Studies, Deutsche Bundesbank 32/2007, (2007)

  6. Hill, T.P.: A statistical derivation of the significant-digit law. Stat. Sci. 10,354–363 (1995)

  7. Janvresse,E., de la Rue, T.: From uniform distributions to Benford’s law. J. Appl. Prob. ́
    41, 1203–1210 (2004)

  8. Ley, E.: On the peculiar distribution of the U.S. stock indexes’ digits. Am. Stat. 50, 311–
    313 (1996)


(^6) We remark that zero is significant as a second digit.

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