The University of Southampton
University of Southampton Institutional Repository

A new multivariate nonlinear time series model for portfolio risk measurement: the threshold copula-based TAR approach

A new multivariate nonlinear time series model for portfolio risk measurement: the threshold copula-based TAR approach
A new multivariate nonlinear time series model for portfolio risk measurement: the threshold copula-based TAR approach
1-20
Wong, Shiu Fung
67b73428-3de8-41e5-a269-b603e45a902f
Tong, Howell
3f381673-88ff-4a1c-a310-4ada1d9e4153
Siu, Tak Kuen
dd22714d-a7ba-4b0a-8dd2-3059c1cab2b7
Lu, Zudi
4aa7d988-ac2b-4150-a586-ca92b8adda95
Wong, Shiu Fung
67b73428-3de8-41e5-a269-b603e45a902f
Tong, Howell
3f381673-88ff-4a1c-a310-4ada1d9e4153
Siu, Tak Kuen
dd22714d-a7ba-4b0a-8dd2-3059c1cab2b7
Lu, Zudi
4aa7d988-ac2b-4150-a586-ca92b8adda95

Wong, Shiu Fung, Tong, Howell, Siu, Tak Kuen and Lu, Zudi (2016) A new multivariate nonlinear time series model for portfolio risk measurement: the threshold copula-based TAR approach. Journal of Time Series Analysis, 1-20. (In Press)

Record type: Article
Text
JTSA-WTSL-TARCopula20160707.pdf - Accepted Manuscript
Download (751kB)

More information

Accepted/In Press date: 4 July 2016
Organisations: Statistics

Identifiers

Local EPrints ID: 397899
URI: http://eprints.soton.ac.uk/id/eprint/397899
PURE UUID: f623f93d-21a1-4e0a-81ce-0c4334791846
ORCID for Zudi Lu: ORCID iD orcid.org/0000-0003-0893-832X

Catalogue record

Date deposited: 11 Jul 2016 08:13
Last modified: 15 Mar 2024 05:43

Export record

Contributors

Author: Shiu Fung Wong
Author: Howell Tong
Author: Tak Kuen Siu
Author: Zudi Lu ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×