Results 31 to 40 of about 1,223 (165)
Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas
Applied Water Science, 2022 Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin.
Mohammad Nazeri Tahroudi +3 more
doaj +1 more source
A Mixture of Regular Vines for Multiple Dependencies
Journal of Probability and Statistics, 2021 To uncover complex hidden dependency structures among variables, researchers have used a mixture of vine copula constructions. To date, these have been limited to a subclass of regular vine models, the so-called drawable vine, fitting only one type of ...
Fadhah Amer Alanazi
doaj +1 more source
Novel pruning and truncating of the mixture of vine copula clustering models
Scientific Reports, 2022 The mixture of the vine copula densities allows selecting the vine structure, the most appropriate type of parametric marginal distributions, and the pair-copulas individually for each cluster. Therefore, complex hidden dependence structures can be fully
Fadhah Amer Alanazi
doaj +1 more source
ESTIMASI CVAR PADA PORTOFOLIO SAHAM MENGGUNAKAN METODE GJR-EVT DENGAN PENDEKATAN D-VINE COPULA
E-Jurnal Matematika, 2022 Risk measure using Conditional Value at Risk can be calculate if values that exceeds the p-quantile is known in VaR. The models used to accommodate characteristics of the stock portfolio in this research are EVT-GARCH-D-vine copula and EVT-GJR-D-vine ...
DERY MAULANA +2 more
doaj +1 more source
covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
Journal of Statistical Software, 2022 In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix.
Steffen Grønneberg +2 more
doaj +1 more source
Smooth nonparametric Bernstein vine copulas [PDF]
Quantitative Finance, 2012 We propose to use nonparametric Bernstein copulas as bivariate pair-copulas in high-dimensional vine models. The resulting smooth and nonparametric vine copulas completely obviate the error-prone need for choosing the pair-copulas from parametric copula families. By means of a simulation study and an empirical analysis of financial market data, we show
Weiß, Gregor, Scheffer, Marcus
openaire +2 more sources
Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]
, 2013 The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula.
Parham, Gholamali +10 more
core +1 more source
A geometric investigation into the tail dependence of vine copulas [PDF]
Journal of Multivariate Analysis, 2021 Vine copulas are a type of multivariate dependence model, composed of a collection of bivariate copulas that are combined according to a specific underlying graphical structure. Their flexibility and practicality in moderate and high dimensions have contributed to the popularity of vine copulas, but relatively little attention has been paid to their ...
Emma S. Simpson +2 more
openaire +2 more sources
International Journal of Financial Studies, 2022 This paper attempted to apply an EVT-based pairwise copula method for modelling risk interaction between foreign exchange rates and equity indices of the Johannesburg Stock Exchange (JSE) and to model the dependence structure of the underlying assets ...
Joel Hinaunye Eita +1 more
doaj +1 more source
Pair-copula constructions of multiple dependence [PDF]
, 2006 Building on the work of Bedford, Cooke and Joe, we show how multivariate data, which exhibit complex patterns of dependence in the tails, can be modelled using a cascade of pair-copulae, acting on two variables at a time.
Aas, Kjersti +3 more
core +1 more source