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Is econophysics a new discipline? The neopositivist argument

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  • Schinckus, Christophe

Abstract

Econophysics is a new approach which applies various models and concepts associated with statistical physics to economic (and financial) phenomena. This field of research is a new step in the history and the evolution of Physics Sciences and the question about the disciplinary characteristics of this field must be asked. At first glance, it might appear that economics and econophysics share the same subject of research (that of analysis of economic reality). In this paper I will use neopositivism to show that econophysics is methodologically very different from economics and that it can be considered as a separate discipline. The neopositivist framework provides econophysics with some arguments for rejecting mainstream economics.

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  • Schinckus, Christophe, 2010. "Is econophysics a new discipline? The neopositivist argument," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3814-3821.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:18:p:3814-3821
    DOI: 10.1016/j.physa.2010.05.016
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    as
    1. David Bourghelle & Olivier Brandouy & Roland Gillet & André Orlean, 2005. "Croyances, représentations collectives et conventions en finance," Post-Print hal-00180060, HAL.
    2. Davis, Douglas D. & Holt, Charles a., 1993. "Experimental economics: Methods, problems and promise," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 8(2), pages 179-212.
    3. J. Doyne Farmer, 2000. "Physicists Attempt To Scale The Ivory Towers Of Finance," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 311-333.
    4. Gallegati, Mauro & Keen, Steve & Lux, Thomas & Ormerod, Paul, 2006. "Worrying trends in econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 1-6.
    5. Stanley, H.E. & Gabaix, Xavier & Gopikrishnan, Parameswaran & Plerou, Vasiliki, 2007. "Economic fluctuations and statistical physics: Quantifying extremely rare and less rare events in finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 286-301.
    6. O. Brandouy, 2005. "Complexité et phénomènes critiques en finance," Post-Print hal-00171608, HAL.
    7. Philippe Mongin, 2006. "L'analytique et le synthétique en économie," Recherches économiques de Louvain, De Boeck Université, vol. 72(4), pages 349-383.
    8. Bouchaud, Jean-Philippe, 2002. "An introduction to statistical finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(1), pages 238-251.
    9. Vandewalle, N. & Boveroux, Ph. & Minguet, A. & Ausloos, M., 1998. "The crash of October 1987 seen as a phase transition: amplitude and universality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 255(1), pages 201-210.
    10. Stanley, H.E. & Afanasyev, V. & Amaral, L.A.N. & Buldyrev, S.V. & Goldberger, A.L. & Havlin, S. & Leschhorn, H. & Maass, P. & Mantegna, R.N. & Peng, C.-K. & Prince, P.A. & Salinger, M.A. & Stanley, M., 1996. "Anomalous fluctuations in the dynamics of complex systems: from DNA and physiology to econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 224(1), pages 302-321.
    11. Keen, Steve, 2003. "Standing on the toes of pygmies:," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 108-116.
    12. Viswanathan, G.M. & Fulco, U.L. & Lyra, M.L. & Serva, M., 2003. "The origin of fat-tailed distributions in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 329(1), pages 273-280.
    13. McCauley, Joseph L., 2006. "Response to worrying trends in econophysics," MPRA Paper 2129, University Library of Munich, Germany.
    14. Jean-Philippe Bouchaud, 2002. "An introduction to statistical finance," Science & Finance (CFM) working paper archive 313238, Science & Finance, Capital Fund Management.
    15. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    16. Sippel, Reinhard, 1997. "An Experiment on the Pure Theory of Consumer's Behaviour," Economic Journal, Royal Economic Society, vol. 107(444), pages 1431-1444, September.
    17. Stanley, H.E & Amaral, L.A.N & Canning, D & Gopikrishnan, P & Lee, Y & Liu, Y, 1999. "Econophysics: Can physicists contribute to the science of economics?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 156-169.
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    7. Jovanovic, Franck & Mantegna, Rosario N. & Schinckus, Christophe, 2019. "When financial economics influences physics: The role of Econophysics," International Review of Financial Analysis, Elsevier, vol. 65(C).
    8. Boris Salazar, 2016. "Mandelbrot, Fama and the emergence of econophysics," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 35(69), pages 637-662, April.
    9. Marco Angelo Marinoni, 2014. "Evoluzioni dottrinali su incertezza e rischio. Da Knight e Sassi alla Teoria del Caos," CONTABILIT? E CULTURA AZIENDALE, FrancoAngeli Editore, vol. 2014(1), pages 33-53.
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