Results 31 to 40 of about 3,920 (236)

Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas

open access: yesApplied 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

Vine copulas structures modeling on Russian stock market

open access: yesDiscrete and Continuous Models and Applied Computational Science, 2019
Pair-copula constructions have proven to be a useful tool in statistical modeling, particularly in the field of finance. The copula-based approach can be used to choose a model that describes the dependence structure and marginal behaviour of the data in
Eugeny Yu. Shchetinin
doaj   +1 more source

Copulas and Vines

open access: green, 2017
Copulas and vines allow us to model the distribution of multivariate random variables in a flexible way. This article introduces copulas via Sklar's theorem, explains how pair copula constructions are built by decomposing multivariate copula densities, and illustrates vine graphical representations.
Luciana Dalla Valle
openalex   +4 more sources

Statistical arbitrage with vine copulas [PDF]

open access: yesQuantitative Finance, 2018
We develop a multivariate statistical arbitrage strategy based on vine copulas—a highly flexible instrument for linear and nonlinear multivariate dependence modeling.
Stübinger, Johannes   +2 more
openaire   +2 more sources

Extreme risk spillovers between China and major international stock markets

open access: yesModern Finance, 2023
We examine the complex dependence structure and risk spillovers between the Chinese stock market and twelve major international markets. To this end, we employ three types of vine copulas and tests for the Granger causality in risk of Hong et al. (2009).
Lingling Qian   +2 more
doaj   +1 more source

Nonparametric C- and D-vine-based quantile regression

open access: yesDependence Modeling, 2022
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional quantile functions provides more accurate modeling of the stochastic ...
Tepegjozova Marija   +3 more
doaj   +1 more source

Dependence structure across equity sectors: Evidence from vine copulas

open access: yesBorsa Istanbul Review, 2023
Understanding sectoral dynamic dependence across equity indexes is crucial for investment decisions and designing economic policy. This study examines the sectoral dependence among 82 Pakistani companies using a vine copula approach and daily data from ...
Faheem Aslam   +4 more
doaj   +1 more source

Bayesian Model Selection of Regular Vine Copulas [PDF]

open access: yesBayesian Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gruber, Lutz F., Czado, Claudia
openaire   +3 more sources

Correlation modeling of multiple wind farms based on piecewise cloud representation and regular vine copulas

open access: yesEnergy Reports, 2020
The accuracy of correlation modeling for multiple wind farms will directly affect the assessment results of absorption capacity in electric utilities. Due to the rapid increase in installed capacity of wind power in recent years, there are often multiple
Kai Qu   +4 more
doaj   +1 more source

Vine copula based dependence modeling in sustainable finance

open access: yesJournal of Finance and Data Science, 2022
Climate change and sustainability have become societal focal points in the last decade. Consequently, companies have been increasingly characterized by non-financial information, such as environmental, social, and governance (ESG) scores, based on which ...
Claudia Czado   +5 more
doaj   +1 more source

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