4.2 Article

Financial modeling with heavy-tailed stable distributions

Journal

Publisher

WILEY
DOI: 10.1002/wics.1286

Keywords

stable distribution; heavy-tailed models; financial mathematics; robust methods

Funding

  1. Cornell University, Operations Research & Information Engineering from the Army Research Development and Engineering Command [W911NF-12-1-0385]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available