Financial modeling with heavy-tailed stable distributions

被引:40
作者
Nolan, John P. [1 ]
机构
[1] Amer Univ, Dept Math & Stat, Washington, DC 20016 USA
关键词
stable distribution; heavy-tailed models; financial mathematics; robust methods;
D O I
10.1002/wics.1286
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The aim of this article was to give an accessible introduction to stable distributions for financial modeling. There is a real need to use better models for financial returns because the normal (or bell curve/Gaussian) model does not capture the large fluctuations seen in real assets. Stable laws are a class of heavy-tailed probability distributions that can model large fluctuations and allow more general dependence structures. (C) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:45 / 55
页数:11
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