Canegrati, Emanuele (2008): New Evidence on the Normality of Market Returns: The Dow Jones Industrial Average Case.
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Abstract
In this paper I test the normality of returns of the 30 components of the Dow Jones Industrial Average (DJIA) from January 1st 1990 to December 5th 2008. Results obtained by Kolmogorov - Smirnov, Shapiro - Wilk and Skewness - Kurtosis tests are robust in demonstrating that the hypothesis of normality can always be rejected.
Item Type: | MPRA Paper |
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Original Title: | New Evidence on the Normality of Market Returns: The Dow Jones Industrial Average Case |
Language: | English |
Keywords: | Kolmogorov - Smirnov, Shapiro - Wilk, Skewness - Kurtosis, Normality tests |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 12166 |
Depositing User: | Emanuele Canegrati |
Date Deposited: | 15 Dec 2008 02:40 |
Last Modified: | 28 Sep 2019 16:49 |
References: | [1] D'Agostino, R. B. et al. (1990): A Suggestion for Using Powerful and Informative Tests of Normality, American Statistician, 44(4): 316-321 [2] Esch, L. et al. (2005): Asset and Risk Management - Risk Oriented Finance, John Wiley & Sons Ltd. [3] J. P. Morgan (1996): RiskMetricsTM - Technical Document, 4th edition, Morgan Guaranty Trust Company [4] Park, H. M. (2008): Univariate Analysis and Normality Test Using SAS, Stata, and SPSS, The Trustees of Indiana University, http://www.indiana.edu/statmath [5] Shapiro, S. S. and Wilk, M. B. (1965): An Analysis of Variance Test for Normality (Complete Samples), Biometrika, 52(3/4): 591-611 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/12166 |