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Statistical Properties of Fluctuations: A Method to Check Market Behavior

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Econophysics and Economics of Games, Social Choices and Quantitative Techniques

Part of the book series: New Economic Windows ((NEW))

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Abstract

We analyze the Bombay Stock Exchange (BSE) price index over the period of last 12 years. Keeping in mind the large fluctuations in last few years, we carefully find out the transient, non-statistical and locally structured variations. For that purpose, we make use of Daubechies wavelet and characterize the fractal behavior of the returns using a recently developed wavelet based fluctuation analysis method. the returns show a fat-tail distribution as also weak non-statistical behavior. We have also carried out continuous wavelet as well as Fourier power spectral analysis to characterize the periodic nature and correlation properties of the time series.

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References

  1. Plerou V et al (2000), Physica A 279:443

    Article  Google Scholar 

  2. Bachelier L (1900) Ann. Sci. École Norm. Sup. 3:21

    Google Scholar 

  3. Pareto V (1897) Cours d’Économie Politique Lausanne, Paris

    Google Scholar 

  4. Lévy P (1937) Théorie de l’Addition des Variables Alé atoires, Gauthier-Villars, Paris

    Google Scholar 

  5. Mandelbrot B B (1963) J. Bus. 36:394419

    Article  Google Scholar 

  6. Mantegna, R N, Stanley H E (2000), Introduction to Econophysics: Correlations and Complexity in Finance, Cambridge University Press, Cambridge

    Google Scholar 

  7. Bouchaud J P, Potters M (2000) Theory of Financial Risk, Cambridge University Press, Cambridge

    Google Scholar 

  8. Farmer J D (1999) Comput. Sci. Eng. 1:26

    Article  Google Scholar 

  9. Kondor I, Kértesz (eds.) (2000) Econophysics: An Emerging Science, Kluwer, Dordrecht

    Google Scholar 

  10. Mantegna R N, (ed.) (1999) Proceedings of the International Workshop on Econophysics and Statistical Finance, Physica A (special issue) 269:1

    Google Scholar 

  11. Bouchaud J P, Alström P, Lauritsen K B (eds.), (2000) Application of Physics in Financial Analysis, Int. J. Theor. Appl. Finance (special issue) 3

    Google Scholar 

  12. Takayasu H (ed.) (2002), The Application of Econophysics: Proceedings of the Second Nikkei Econophysics Symposium, Springer

    Google Scholar 

  13. Mandelbrot B B (1999), The Fractal Geometry of Nature Freeman, San Francisco

    Google Scholar 

  14. Daubechies I (1992) Ten lectures on wavelets SIAM, Philadelphia

    Book  Google Scholar 

  15. Mallat S (1999) A Wavelet Tour of Signal Processing Academic Press

    Google Scholar 

  16. Burrus C S, Gopinath R A, and Guo H (1998) Introduction to Wavelets and Wavelt Transforms Prentice Hall, New Jersey

    Google Scholar 

  17. Manimaran P, Panigrahi P K, and Parikh J C (2005), Phys. Rev. E 72:046120

    Article  Google Scholar 

  18. Manimaran P, Lakshmi P A, Panigrahi P K (2006), J. Phys. A 39:L599

    Article  Google Scholar 

  19. O’swiecimka P, Kwapién, Drozdz (2006) Phys. Rev. A. 74:016103

    Google Scholar 

  20. Manimaran P, Panigrahi P K, and Parikh J C (2008) Physica A 387:5810

    Article  Google Scholar 

  21. Manimaran P, Panigrahi P K, and Parikh J C (2009) Physica A 388:2306

    Article  Google Scholar 

  22. Hu K, Ivanov P Ch, Chen Z, Carpena P, and Stanley H E (2001) Phys.Rev. E 64:11114

    Article  Google Scholar 

  23. Gopikrishnan et al (1999) Phys. Rev. E 60:5305

    Article  Google Scholar 

  24. Plerou V et al (1999) Phys. Rev. E 60:6519

    Article  Google Scholar 

  25. Chen Z, Ivanov P Ch, Hu K, and Stanley H E (2002) Phys. Rev. E 65:041107

    Article  Google Scholar 

  26. Matia K, Ashkenazy Y, and H. E. Stanley, (2003) Europhys. Lett. 61:422

    Article  Google Scholar 

  27. Hwa R C et al (2005) Phys. Rev. E. 72:066308

    Article  Google Scholar 

  28. Ohashi K, Amaral L A N, Natelson B H, Yamamoto Y (2003) Phys. Rev. E. 68:065204

    Article  Google Scholar 

  29. Xu L et al (2005) Phys. Rev. E. 71:051101

    Article  Google Scholar 

  30. Brodu N, eprint:nlin.CD/0511041

    Google Scholar 

  31. Gu G F, Zhou W X (2006) Phys. Rev. E 74:061104

    Article  Google Scholar 

  32. Mohaved M S, Hermanis E (2008) Physica A 387:915

    Article  Google Scholar 

  33. Farge M, (1992) Annu. Rev. Fluid Mech. 24:395

    Article  Google Scholar 

  34. Stuzik Z R, (2001) Physica A 296:307

    Article  Google Scholar 

  35. Bartolozzi M et al (2005) Physica A 350:451

    Article  Google Scholar 

  36. Bartolozzi M (2007) Eur. Phys. J. B 57:337

    Article  Google Scholar 

  37. Simonsen I, Hansen A, and Nes O-M, Phys. Rev. E 58 (1998) 2779

    Article  Google Scholar 

  38. Connor J and Rossiter R (2005), Studies in Nonlinear Dynamics and Econometrics 9:1

    Google Scholar 

  39. Ahalpara D P et al (2008) Pramana-J. Phys. 71:459

    Article  Google Scholar 

  40. Torrence C and Compo G P (1998) Bull. Amer. Meteorol. Soc. 79:61

    Article  Google Scholar 

  41. Goupillaud P, Grossman A, and Morlet J (1984) Geoexploration 23:85–102

    Article  Google Scholar 

  42. Hurst H E (1951) Trans. Am. Soc. Civ. Eng. 116:770

    Google Scholar 

  43. Feder J (1988) Fractals Plenum Press, New York

    Google Scholar 

  44. Arneodo A et al (1988) Phys. Rev. Lett. 61:2284; Muzy J F et al (1993) Phys. Rev. E 47:875

    Article  Google Scholar 

  45. Peng C K, et al (1994) Phys. Rev. E 49:1685

    Article  Google Scholar 

  46. Kantelhardt J W, et al (2003) Physica A 330:240

    Article  Google Scholar 

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Panigrahi, P.K., Ghosh, S., Manimaran, P., Ahalpara, D.P. (2010). Statistical Properties of Fluctuations: A Method to Check Market Behavior. In: Basu, B., Chakravarty, S.R., Chakrabarti, B.K., Gangopadhyay, K. (eds) Econophysics and Economics of Games, Social Choices and Quantitative Techniques. New Economic Windows. Springer, Milano. https://doi.org/10.1007/978-88-470-1501-2_13

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