Value-at-risk and Tsallis statistics: risk analysis of the aerospace sector
AbstractIn this study, we analyze the aerospace stocks prices in order to characterize the sector behavior. The data analyzed cover the period from January 1987 to April 1999. We present a new index for the aerospace sector and investigate the statistical characteristics of this index. Our results show that this index is well described by Tsallis distribution. We explore this result and modify the standard value-at-risk (VaR) financial risk assessment methodology in order to reflect an asset which obeys Tsallis non-extensive statistics.
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Bibliographic InfoArticle provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.
Volume (Year): 344 (2004)
Issue (Month): 3 ()
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Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/
Econophysics; Aerospace sector; Tsallis statistics; Value-at-risk;
Other versions of this item:
- Adriana P. Mattedi & Fernando M. Ramos & Reinaldo R. Rosa & Rosario N. Mantegna, 2004. "Value-at-Risk and Tsallis statistics: risk analysis of the aerospace sector," Papers cond-mat/0402654, arXiv.org, revised Mar 2004.
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- Viviana Fernandez & Brian M Lucey, 2006.
"Portfolio management implications of volatility shifts: Evidence from simulated data,"
Documentos de Trabajo, Centro de EconomÃa Aplicada, Universidad de Chile
219, Centro de EconomÃa Aplicada, Universidad de Chile.
- Viviana Fernandez & Brian M. Lucey, 2006. "Portfolio management implications of volatility shifts: Evidence from simulated data," The Institute for International Integration Studies Discussion Paper Series iiisdp131, IIIS.
- Giacomo Bormetti & Maria Elena De Giuli & Danilo Delpini & Claudia Tarantola, 2008. "Bayesian Analysis of Value-at-Risk with Product Partition Models," Papers 0809.0241, arXiv.org, revised May 2009.
- Fernandez, Viviana & Lucey, Brian M., 2007. "Portfolio management under sudden changes in volatility and heterogeneous investment horizons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 375(2), pages 612-624.
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