|
Activity Number:
|
510
- Recent Development in the Assessment and Modeling of Asymmetric Dependence
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
IMS
|
|
Abstract #329575
|
Presentation
|
|
Title:
|
On Multivariate Asymmetric Dependence Using Multivariate Skew-Normal Copula-Based Regression
|
|
Author(s):
|
Zheng Wei*
|
|
Companies:
|
University of Maine
|
|
Keywords:
|
skew-normal copula;
multivariate asymmetric dependence;
copula-based regression
|
|
Abstract:
|
We propose a new procedure to study the asymmetric dependence of the multivariate data by utilizing the skew normal copula-based regression. The proposed procedure comprises methodologies that have not been considered in the analysis of multivariate asymmetric dependence. We first utilize the asymmetric multivariate copula-based regression to capture the asymmetric dependence among multiple variables. We then introduce the multiple asymmetric dependence measure to quantify the asymmetry in the predictive power of the tentative predictors for a tentative response variable. We demonstrate the proposed methods using a class of asymmetric multivariate skew normal copulas. An application example on the asymmetric comovements of financial assets illustrates the benefits of the proposed methods.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2018 program
|
