A Test for Symmetry with Leptokurtic Financial Data
Most of the tests for symmetry are developed under the (implicit or explicit) null hypothesis of normal distribution. As is well known, many financial data exhibit fat tails, and therefore commonly used tests for symmetry (such as the standard b-sub-1 test based on sample skewness) are not valid for testing the symmetry of leptokurtic financial data. In particular, the b-sub-1 test uses third moment, which may not be robust in presence of gross outliers. In this article we propose a simple test for symmetry based on the Pearson type IV family of distributions, which take account of leptokurtosis explicitly. Our test is based on a function that is bounded over the real line, and we expect it to be more well behaved than the test based on sample skewness (third moment). Results from our Monte Carlo study reveal that the suggested test performs very well in finite samples both in terms of size and power. Simulation results also support our conjecture of the tests to be well behaved and robust to excess kurtosis. We apply the test to some selected individual stock return data to illustrate its usefulness. Copyright 2005, Oxford University Press.
Year of publication: |
2005
|
---|---|
Authors: | Premaratne, Gamini |
Published in: |
Journal of Financial Econometrics. - Society for Financial Econometrics - SoFiE, ISSN 1479-8409. - Vol. 3.2005, 2, p. 169-187
|
Publisher: |
Society for Financial Econometrics - SoFiE |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Exploring Diversification Benefits in Asia-Pacific Equity Markets
Mensah, Jones Odei, (2014)
-
Dependence patterns among Banking Sectors in Asia: A Copula Approach
Mensah, Jones Odei, (2014)
-
Intellectual capital performance and its long-run behavior: The US banking industry case
Kehelwalatenna, Sampath, (2014)
- More ...