Abstract
We propose a distribution-free test of symmetry. Monte Carlo results show the new test usually outperforms the nonnormality robust version of the Jarque–Bera test. Empirical results indicate that the tail of the distribution is too heavy to apply the latter test, while the former is always valid.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.