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An Alternative Conditional Asymmetry Specification for Stock Returns

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Author Info
Brännäs, Kurt () (Department of Economics, Umeå University)
Nordman, Niklas () (Department of Economics, Umeå University)

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Abstract

The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness and almost symmetry. The conditional variance and skewness measures are negatively correlated.

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Publisher Info
Paper provided by Umeå University, Department of Economics in its series Umeå Economic Studies with number 556.

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Length: 9 pages
Date of creation: 23 Apr 2001
Date of revision:
Publication status: Published in Applied Financial Economics , 2003, pages 537-541.
Handle: RePEc:hhs:umnees:0556

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Postal: Department of Economics, Umeå University, S-901 87 Umeå, Sweden
Phone: 090 - 786 61 42
Fax: 090 - 77 23 02
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Web page: http://www.econ.umu.se/
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Related research
Keywords: Time series finance nonlinearity skewness gamma estimation NYSE

Other versions of this item:

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Kurt Brännäs & Jan G. de Gooijer, 2000. "Asymmetries in Conditional Mean and Variance: Modelling Stock Returns by asMA-asQGARCH," Tinbergen Institute Discussion Papers 00-049/4, Tinbergen Institute. [Downloadable!]
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  2. Brunner, Allan D, 1992. "Conditional Asymmetries in Real GNP: A Seminonparametric Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 65-72, January.
    Other versions:
  3. Joseph Chen & Harrison Hong & Jeremy C. Stein, 2000. "Forecasting Crashes: Trading Volume, Past Returns and Conditional Skewness in Stock Prices," NBER Working Papers 7687, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Brännäs, Kurt, 2003. "Temporal Aggregation of the Returns of a Stock Index Series," UmeÃ¥ Economic Studies 614, Umeå University, Department of Economics. [Downloadable!]
  2. Kurt Brännäs & Niklas Nordman, 2003. "Conditional skewness modelling for stock returns," Applied Economics Letters, Taylor and Francis Journals, vol. 10(11), pages 725-728, September. [Downloadable!] (restricted)
    Other versions:
  3. Brännäs, Kurt & Soultanaeva, Albina, 2006. "Influence of News in Moscow and New York on Returns and Risks on Baltic State Stock Indices," UmeÃ¥ Economic Studies 696, Umeå University, Department of Economics. [Downloadable!]
  4. Nunzio Cappuccio & Diego Lubian & Davide Raggi, 2006. "Investigating asymmetry in US stock market indexes: evidence from a stochastic volatility model," Applied Financial Economics, Taylor and Francis Journals, vol. 16(6), pages 479-490, March. [Downloadable!] (restricted)
  5. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2005. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Research Paper Series 169, Quantitative Finance Research Centre, University of Technology, Sydney. [Downloadable!]
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