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Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation

Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation Asymmetric dependence in equities markets has been shown to have detrimental effects on portfolio diversification as assets within the portfolio exhibit greater correlations during market downturns compared to market upturns. By applying the Clayton canonical vine copula (CVC) to model asymmetric dependence, we produce a measure of systemic risk across a portfolio of assets. In addition, we use the Clayton CVC to produce estimates of expected returns in an application to higher‐moment portfolio optimisation and find evidence of an improvement in performance across a range of risk‐adjusted return measures and the indices of acceptability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Accounting & Finance Wiley

Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation

Accounting & Finance , Volume 58 – Nov 1, 2018

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References (93)

Publisher
Wiley
Copyright
Accounting and Finance © 2018 AFAANZ
ISSN
0810-5391
eISSN
1467-629X
DOI
10.1111/acfi.12274
Publisher site
See Article on Publisher Site

Abstract

Asymmetric dependence in equities markets has been shown to have detrimental effects on portfolio diversification as assets within the portfolio exhibit greater correlations during market downturns compared to market upturns. By applying the Clayton canonical vine copula (CVC) to model asymmetric dependence, we produce a measure of systemic risk across a portfolio of assets. In addition, we use the Clayton CVC to produce estimates of expected returns in an application to higher‐moment portfolio optimisation and find evidence of an improvement in performance across a range of risk‐adjusted return measures and the indices of acceptability.

Journal

Accounting & FinanceWiley

Published: Nov 1, 2018

Keywords: ; ; ; ;

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