Moment Redundancy Test with Application to Efficiency-Improving Copulas
Field | Value | Language |
dc.contributor.author | Hao, Bowen | |
dc.contributor.author | Prokhorov, Artem | |
dc.contributor.author | Qian, Hailong | |
dc.date.accessioned | 2019-03-28 | |
dc.date.available | 2019-03-28 | |
dc.date.issued | 2019-03-25 | |
dc.identifier.uri | http://hdl.handle.net/2123/20204 | |
dc.description.abstract | Moment redundancy as defined by Breusch et al. (1999) is a testable hypothesis. We propose a simple test of the hypothesis in the context of copula-based pseudo-maximum likelihood estimation considered by Prokhorov and Schmidt (2009b). A robust and efficiency-improving parametric copula permits sizable improvement in precision at no cost in terms of bias and the proposed test can be used to select such copulas. | en_AU |
dc.language.iso | en_US | en_AU |
dc.publisher | Business Analytics. | en_AU |
dc.relation.ispartofseries | BAWP-2019-05 | en_AU |
dc.subject | GMM | en_AU |
dc.subject | moment redundancy | en_AU |
dc.subject | copulas | en_AU |
dc.title | Moment Redundancy Test with Application to Efficiency-Improving Copulas | en_AU |
dc.type | Working Paper | en_AU |
dc.contributor.department | Discipline of Business Analytics, The University of Sydney Business School | en_AU |
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