Canonical vine copulas in the context of modern portfolio management: Are they worth it?

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Pair-Copula Constructions for Financial Applications: A Review (2016, methodology): “In [99], individual asset returns are assumed to be distributed according to the skewed Student t -distribution of [100], while a canonical vine copula is used to model their dependency structure.”
Statistical Dependence: Beyond Pearson’s ρ (2018, background): “The model is able to reduce the eﬀects of extreme downside correlations and produces improved statistical and economical performance compared to elliptical type copulas such as the Gaussian copula (9) and the t -copula, see Low et al. (2013).”
The profitability of pairs trading strategies: distance, cointegration and copula methods (2016, unknown): “Exploiting this relationship should allow us to accurately model the co-movement of the pair and use that to implement a high-performance PTS. Equities are shown to exhibit asymmetric dependence (Longin and Solnik 1995, Patton 2004, Low et al. 2013).”
Multivariate dependence risk and portfolio optimization: An application to mining stock portfolios (2015, methodology): “…recently been proposed to more accurately estimate the dependence matrix of financial variables (e.g., Chollete et al., 2009; Aloui et al., 2011; Low et al., 2013).2 It overcomes the restrictive and deterministic features of the bilateral correlation coefficient approach, traditionally used in…”