Modelling skewness and kurtosis with the skewed Gauss-Laplace sum distribution

被引:3
作者
Haas, Markus [1 ]
机构
[1] Univ Munich, Dept Stat, D-80799 Munich, Germany
关键词
RISK;
D O I
10.1080/17446540802400441
中图分类号
F [经济];
学科分类号
02 ;
摘要
An asymmetric extension of the recently proposed (symmetric) Gauss-Laplace sum distribution for stock returns is developed, motivated by the fact that many stock return distributions display significant asymmetries. The properties of the new distribution, insofar as relevant for estimation, testing, and the modelling of skewness and kurtosis, are derived. An application to three major US stock return indices shows an excellent fit of the model, which outperforms many popular alternatives.
引用
收藏
页码:1277 / 1283
页数:7
相关论文
共 15 条
[11]   Asymmetric Laplace laws and modeling financial data [J].
Kozubowski, TJ ;
Podgórski, K .
MATHEMATICAL AND COMPUTER MODELLING, 2001, 34 (9-11) :1003-1021
[12]  
Kucukozmen C., 2004, Applied Financial Economics, V14, P195, DOI DOI 10.1080/0960310042000187379
[13]   Entropy densities with an application to autoregressive conditional skewness and kurtosis [J].
Rockinger, M ;
Jondeau, E .
JOURNAL OF ECONOMETRICS, 2002, 106 (01) :119-142
[14]   Approximating the distributions of estimators of financial risk under an asymmetric Laplace law [J].
Trindade, A. Alexandre ;
Zhu, Yun .
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 51 (07) :3433-3447
[15]  
[No title captured]