Pair-copulas modeling in finance
By Beatriz Vaz de Melo Mendes, M. Semeraro, R. Leal. 2010
61 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/733b5f134a81ca5c6da5126a1ae3c77cb2a6d292
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Eike C. Brechmann
- Claudia Czado
- Lutz F. Gruber
- Dorota Kurowicka
- Jeffrey F. Dißmann
- Kjersti Aas
- Ulf Schepsmeier
- David Lopez-Paz
In Finance
- Eike C. Brechmann
- Claudia Czado
- Lutz F. Gruber
- Kjersti Aas
- Jeffrey F. Dißmann
- Dorota Kurowicka
- Ulf Schepsmeier
- David Lopez-Paz
Citations in the corpus
- Selecting and estimating regular vine copulae and application to financial returns (2012, methodology): “Mendes et al. (2010) however suggested that there should more research on how to choose D-vines including both the choice of the order of the nodes as well as how to choose the pair-copula families.”
- Selection of Vine Copulas (2013, background): “Third, the strategy proposed by [47] concentrates on tail dependence, since the algorithm will select pairs with estimated small degrees of freedom corresponding to a stronger deviation from Gaussianity with no tail dependence.”
- Risk management with high-dimensional vine copulas: An analysis of the Euro Stoxx 50 (2013, methodology): “A first step to compensate this deficiency was taken by Mendes et al. (2010), who employ a D-vine copula (a specific sub-class of R-vine copulas) with only four different bivariate copula families for a six-dimensional data set and discuss its use for portfolio management.”