Skip to main content
Log in

Characterizing and modelling persistence in the number of lottery winners

  • Regular Article
  • Published:
The European Physical Journal B Aims and scope Submit manuscript

Abstract

Lottery is the most famous branch among all the games of chance. By analysing data from Mega-Sena, the major lottery in Brazil, we investigated the presence of persistent behaviour in the time series of the number of winners. We found that the demand for tickets grew collectively as an exponential driven by the size of the accumulated jackpot. Finally, we identified that a stochastic model grounded on the rolling-over feature of lotteries can generate correlations qualitatively similar to those observed empirically. The model is consistent with the idea that the growth in the number of bets, motivated by the size of the expected jackpot, is a mechanism generator of correlations in an apparently random scenario.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. J.P. Onnela, F. Reed-Tsochas, Proc. Natl. Acad. Sci. USA 107, 18375 (2010)

    Article  ADS  Google Scholar 

  2. C. Wang, B.A. Huberman, Sci. Rep. 2, 633 (2012)

    ADS  Google Scholar 

  3. C. Castellano, D. Vilone, A. Vespignani, Europhys. Lett. 63, 153 (2003)

    Article  ADS  Google Scholar 

  4. K. Suchecki, V.M. Eguíluz, M. San Miguel, Phys. Rev. E 72, 36132 (2005)

    Article  ADS  Google Scholar 

  5. P. Klimek, T. Lambiotte, S. Thurner, Europhys. Lett. 82, 28008 (2008)

    Article  ADS  MathSciNet  Google Scholar 

  6. B. Kozma, A. Barrat, Phys. Rev. E 77, 16102 (2008)

    Article  ADS  Google Scholar 

  7. C. Nardini, B. Kozma, A. Barrat, Phys. Rev. Lett. 100, 158701 (2008)

    Article  ADS  Google Scholar 

  8. C. Hauert, G. Szabó, Am. J. Phys. 73, 405 (2005)

    Article  ADS  MATH  Google Scholar 

  9. M. Buchanan, Nature 6909, 787 (2002)

    Article  ADS  Google Scholar 

  10. H. Coronel-Brizio, A. Hernández-Montoya, F. Rapallo, E. Scalas, Physica A 316, 6385 (2008)

    Article  ADS  Google Scholar 

  11. V. Ariyabuddhiphongs, J. Gambl. Stud. 27, 15 (2011)

    Article  Google Scholar 

  12. R.D. Baker, I.G. McHale, J. R. Statist. Soc. A 172, 813 (2009)

    Article  MathSciNet  Google Scholar 

  13. D. Forrest, O.D. Gulley, R. Simmons, Natl. Tax J. 53, 853 (2000)

    Google Scholar 

  14. M. Beenstock, Y. Haitovsky, J. Econ. Psychol. 22, 721 (2001)

    Article  Google Scholar 

  15. I. McHale, D. Peel, Econ. Lett. 109, 7 (2010)

    Article  Google Scholar 

  16. http://www1.caixa.gov.br/loterias/loterias/megasena/megasena_resultado.asp (Accessed on August 2014)

  17. C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, A.L. Goldberger, Phys. Rev. E 49, 1685 (1994)

    Article  ADS  Google Scholar 

  18. Q. Zhang, Y. Zhou, V.P. Singh, Y.D. Chen, J. Hydrol. 400, 121 (2011)

    Article  ADS  Google Scholar 

  19. L. Zunino, D. Gulich, G. Funes, A. Ziad, Opt. Lett. 39, 3718 (2014)

    Article  Google Scholar 

  20. http://www1.caixa.gov.br/loterias/loterias/megasena/distribuicao.asp (Accessed on August 2014)

  21. http://www1.caixa.gov.br/loterias/loterias/megasena/como_jogar.asp (Accessed on August 2014)

  22. http://usd.fxexchangerate.com/brl-2014_07_30-exchange-rates-history.html (Accessed on August 2014)

  23. http://www.debit.com.br/consulta30.php?acumulado=1&indice=inpc (Accessed on August 2014)

  24. P. Mostardinha, E.J. Durana, F. Vistulo de Abreu, Eur. J. Phys. 27, 675 (2006)

    Article  Google Scholar 

  25. M. Pessiglione, L. Schmidt, B. Draganski, R. Kalisch, R.J. Dolan, C.D. Frith, Science 316, 904 (2007)

    Article  ADS  Google Scholar 

  26. S.M. Tom, C.R. Fox, C. Trepel, R.A. Poldrack, Science 315, 515 (2007)

    Article  ADS  Google Scholar 

  27. K. Doya, Nat. Neurosci. 11, 410 (2008)

    Article  Google Scholar 

  28. G. Loewenstein, S. Rick, J.D. Cohen, Ann. Rev. Psychol. 59, 647 (2008)

    Article  Google Scholar 

  29. A. Rangel, C. Camerer, P.R. Montague, Nat. Rev. Neurosci. 9, 545 (2008)

    Article  Google Scholar 

  30. L. Farrell, E. Morgenroth, I. Walker, Oxford B. Econ. Stat. 61, 513 (1999)

    Article  Google Scholar 

  31. D. Forrest, R. Simmons, N. Chesters, Econ. Inq. 40, 485 (2002)

    Article  Google Scholar 

  32. D. Sornette, F. Deschâtres, T. Gilbert, Y. Ageon, Phys. Rev. Lett. 93, 228701 (2004)

    Article  ADS  Google Scholar 

  33. K.-M. Wang, T.-B.N. Thi, Physica A 376, 422 (2007)

    Article  ADS  Google Scholar 

  34. H. Bonesrønning, J. Socio-Econ. 37, 328 (2008)

    Article  Google Scholar 

  35. R. Crane, D. Sornette, Proc. Natl. Acad. Sci. USA 105, 15649 (2008)

    Article  ADS  Google Scholar 

  36. L.-C. Chi, Econ. Model. 26, 364 (2009)

    Article  Google Scholar 

  37. R. Breuer, M. Brettel, J. Interact. Mark. 26, 155 (2012)

    Article  Google Scholar 

  38. D. Gilden, T. Thornton, M. Mallon, Science 267, 1837 (1995)

    Article  ADS  Google Scholar 

  39. J.M. Hausdorff, C.-K. Peng, Phys. Rev. E 54, 2154 (1996)

    Article  ADS  Google Scholar 

  40. D.J. Aks, G.J. Zelinsky, J.C. Sprott, Nonlinear Dynamics Psychol. Life Sci. 6, 1 (2002)

    Article  Google Scholar 

  41. G.C. Van Orden, J.G. Holden, M.T. Turvey, J. Exp. Psychol. Gen. 134, 117 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fernando J. Antonio.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Antonio, F.J., Mendes, R.S., Itami, A.S. et al. Characterizing and modelling persistence in the number of lottery winners. Eur. Phys. J. B 88, 142 (2015). https://doi.org/10.1140/epjb/e2015-60040-7

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1140/epjb/e2015-60040-7

Keywords

Navigation