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A note on the coefficient of determination in models with infinite variance variables

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  • Jeong-Ryeol Kurz-Kim
  • Mico Loretan

Abstract

Since the seminal work of Mandelbrot (1963), alpha-stable distributions with infinite variance have been regarded as a more realistic distributional assumption than the normal distribution for some economic variables, especially financial data. After providing a brief survey of theoretical results on estimation and hypothesis testing in regression models with infinite-variance variables, we examine the statistical properties of the coefficient of determination in models with alpha-stable variables. If the regressor and error term share the same index of stability alpha

Suggested Citation

  • Jeong-Ryeol Kurz-Kim & Mico Loretan, 2007. "A note on the coefficient of determination in models with infinite variance variables," International Finance Discussion Papers 895, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgif:895
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    References listed on IDEAS

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    1. Runde, Ralf, 1997. "The asymptotic null distribution of the Box-Pierce Q-statistic for random variables with infinite variance an application to German stock returns," Journal of Econometrics, Elsevier, vol. 78(2), pages 205-216, June.
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    Cited by:

    1. Serttas, Fatma Ozgu, 2010. "Essays on infinite-variance stable errors and robust estimation procedures," ISU General Staff Papers 201001010800002742, Iowa State University, Department of Economics.

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