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Bibliography

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

    Google Scholar 

  • Carr, P., Geman, H., Madan, D. B., and Yor, M. (2002). The fine structure of asset returns: an empirical investigation, Journal of Business 75: 305–332.

    Article  Google Scholar 

  • Chambers, J. M., Mallows, C. L., and Stuck, B. W. (1976). A method for simulating stable random variables, Journal of the American Statistical Association 71: 340–344.

    Article  MathSciNet  Google Scholar 

  • D'Agostino, R. B. and Stephens, M. A. (1986). Goodness-of-Fit Techniques, Marcel Dekker, New York.

    Google Scholar 

  • Embrechts, P., Kluppelberg, C., and Mikosch, T. (1997). Modelling Extremal Events for Insurance and Finance, Springer.

    Google Scholar 

  • Fama, E. F. (1965). The behavior of stock market prices, Journal of Business 38: 34–105.

    Article  Google Scholar 

  • Fama, E. F. and Roll, R. (1971). Parameter estimates for symmetric stable distributions, Journal of the American Statistical Association 66: 331–338.

    Article  Google Scholar 

  • Gopikrishnan, P., Plerou, V., Amaral, L. A. N., Meyer, M. and Stanley, H. E. (1999). Scaling of the distribution of fluctuations of financial market indices, Physical Review E 60(5): 5305–5316.

    Article  Google Scholar 

  • Guillaume, D. M., Dacorogna, M. M., Dave, R. R., Müller, U. A., Olsen, R. B., and Pictet, O. V. (1997). From the birds eye to the microscope: A survey of new stylized facts of the intra-daily foreign exchange markets, Finance & Stochastics 1: 95–129.

    Article  Google Scholar 

  • Härdle, W., Klinke, S., and Müller, M. (2000). XploRe Learning Guide, Springer.

    Google Scholar 

  • Hill, B. M. (1975). A simple general approach to inference about the tail of a distribution, Annals of Statistics 3: 1163–1174.

    MATH  MathSciNet  Google Scholar 

  • Janicki, A. and Weron, A. (1994). Simulation and Chaotic Behavior of α-Stable Stochastic Processes, Marcel Dekker.

    Google Scholar 

  • Kanter, M. (1975). Stable densities under change of scale and total variation inequalities, Annals of Probability 3: 697–707.

    MATH  MathSciNet  Google Scholar 

  • Koutrouvelis, I. A. (1980). Regression-type estimation of the parameters of stable laws, Journal of the American Statistical Association 75: 918–928.

    Article  MATH  MathSciNet  Google Scholar 

  • Kogon, S. M. and Williams, D. B. (1998). Characteristic function based estimation of stable parameters, in R. Adler, R. Feldman, M. Taqqu (eds.), A Practical Guide to Heavy Tails, Birkhauser, pp. 311–335.

    Google Scholar 

  • Levy, P. (1925). Calcul des Probabilites, Gauthier Villars.

    Google Scholar 

  • Mandelbrot, B. B. (1963). The variation of certain speculative prices, Journal of Business 36: 394–419.

    Article  Google Scholar 

  • Mantegna, R. N. and Stanley, H. E. (1995). Scaling behavior in the dynamics of an economic index, Nature 376: 46–49.

    Article  Google Scholar 

  • McCulloch, J. H. (1986). Simple consistent estimators of stable distribution parameters, Communications in Statistics — Simulations 15: 1109–1136.

    MATH  MathSciNet  Google Scholar 

  • McCulloch, J. H. (1996). Financial applications of stable distributions, in G. S. Maddala, C. R. Rao (eds.), Handbook of Statistics, Vol. 14, Elsevier, pp. 393–425.

    Google Scholar 

  • McCulloch, J. H. (1997). Measuring tail thickness to estimate the stable index α: A critique, Journal of Business & Economic Statistics 15: 74–81.

    MathSciNet  Google Scholar 

  • Mittnik, S., Doganoglu, T., and Chenyao, D. (1999). Computing the probability density function of the stable Paretian distribution, Mathematical and Computer Modelling 29: 235–240.

    Article  MathSciNet  Google Scholar 

  • Mittnik, S., Rachev, S. T., Doganoglu, T. and Chenyao, D. (1999). Maximum likelihood estimation of stable Paretian models, Mathematical and Computer Modelling 29: 275–293.

    Article  MathSciNet  Google Scholar 

  • Nolan, J. P. (1997). Numerical calculation of stable densities and distribution functions, Communications in Statistics — Stochastic Models 13: 759–774.

    MATH  MathSciNet  Google Scholar 

  • Nolan, J. P. (1999). An algorithm for evaluating stable densities in Zolotarev's (M) parametrization, Mathematical and Computer Modelling 29: 229–233.

    Article  MATH  Google Scholar 

  • Nolan, J. P. (2001). Maximum likelihood estimation and diagnostics for stable distributions, in O. E. Barndorff-Nielsen, T. Mikosch, S. Resnick (eds.), Lévy Processes, Brikhäuser, Boston.

    Google Scholar 

  • Press, S. J. (1972). Estimation in univariate and multivariate stable distribution, Journal of the American Statistical Association 67: 842–846.

    Article  MATH  MathSciNet  Google Scholar 

  • Rachev, S., ed. (2003). Handbook of Heavy-tailed Distributions in Finance, North Holland.

    Google Scholar 

  • Rachev, S. and Mittnik, S. (2000). Stable Paretian Models in Finance, Wiley.

    Google Scholar 

  • Samorodnitsky, G. and Taqqu, M. S. (1994). Stable Non—Gaussian Random Processes, Chapman & Hall.

    Google Scholar 

  • Stoyanov, S. and Racheva-Iotova, B. (2004). Univariate stable laws in the field of finance — parameter estimation, Journal of Concrete and Applicable Mathematics 2(4), in print.

    Google Scholar 

  • Weron, R. (1996). On the Chambers-Mallows-Stuck method for simulating skewed stable random variables, Statistics and Probability Letters 28: 165–171. See also R. Weron, Correction to: On the Chambers-Mallows-Stuck method for simulating skewed stable random variables, Research Report HSC/96/1, Wrocław University of Technology, 1996, http://www.im.pwr.wroc.pl/~hugo/Publications.html.

    Article  MATH  MathSciNet  Google Scholar 

  • Weron, R. (2001). Levy-stable distributions revisited: Tail index > 2 does not exclude the Levy-stable regime, International Journal of Modern Physics C 12: 209–223.

    Article  Google Scholar 

  • Weron, R. (2004). Computationally intensive Value at Risk calculations, in J. E. Gentle, W. Härdle, Y. Mori (eds.) Handbook of Computational Statistics, Springer, Berlin, 911–950.

    Google Scholar 

  • Zolotarev, V. M. (1986). One-Dimensional Stable Distributions, American Mathematical Society.

    Google Scholar 

Download references

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Borak, S., Härdle, W., Weron, R. (2005). Stable Distributions. In: Statistical Tools for Finance and Insurance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27395-6_1

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