
 SSRNModeling and Predicting Market Risk With LaplaceGaussian Mixture Distributions by Markus Haas, Stefan Mittnik, ... (Site not responding. Last check: 20071106) 
  While much of classical statistical analysis is based on Gaussian distributional assumptions, statistical modeling with the Laplace distribution has gained importance in many applied fields. 
  This phenomenon is rooted in the fact that, like the Gaussian, the Laplace distribution has many attractive properties. 
  They are also shown to be competitive with, or superior to, use of the hyperbolic distribution, which has gained some popularity in assetreturn modeling and, in fact, also nests the Gaussian and Laplace. 
 papers.ssrn.com /sol3/papers.cfm?abstract_id=701203 (343 words) 
