Results 101 to 110 of about 493 (178)
Understanding the lagged correlations between regional precipitation and large scale climate indicators (LCI) is crucial for water management and drought risk assessment.
Tianyan Zhang +8 more
doaj +1 more source
An econometric Study for Vine Copulas
We present a new recursive algorithm to construct vine copulas based on an underlying tree structure. This new structure is interesting to compute multivariate distributions for dependent random variables. We proove the asymptotic normality of the vine copula parameter estimator and show that all vine copula parameter estimators have comparable ...
Guegan, Dominique, Maugis, Pierre-André
openaire +2 more sources
Typhoons and their associated disaster chains pose serious threats to the lives and property of coastal residents, and they remain a focal point for research and response.
Zhou Ziying +4 more
doaj +1 more source
Tail Risk in Weather Derivatives
Weather derivative markets, particularly Chicago Mercantile Exchange (CME) Heating Degree Day (HDD) and Cooling Degree Day (CDD) futures, face challenges from complex temperature dynamics and spatially heterogeneous co-extremes that standard Gaussian ...
Tuoyuan Cheng +2 more
doaj +1 more source
Factor Copula through a vine structure
Copula functions have been widely used in actuarial science, finance and econometrics. Though multivariate copulas allow for a flexible specification of the dependence structure of economic variables, they are not particularly tempting in high dimensional contexts.
openaire +3 more sources
Modeling Asymmetric Dependence Structure of Air Pollution Characteristics: A Vine Copula Approach
Contaminated air is unhealthy for people to breathe and live in. To maintain the sustainability of clean air, air pollution must be analyzed and controlled, especially after unhealthy events.
Mohd Sabri Ismail +3 more
doaj +1 more source
Assessing portfolio vulnerability to systemic risk: a vine copula and APARCH-DCC approach
This study evaluates the sensitivity and robustness of the systemic risk measure, Conditional Value-at-Risk (CoVaR), estimated using the vine copula and APARCH-DCC models. We compute the CoVaR for the two portfolios across five allocation strategies. The
Jules Clement Mba
doaj +1 more source
Dependence structure analysis of multisite river inflow data using vine copula-CEEMDAN based hybrid model. [PDF]
Nazir HM +6 more
europepmc +1 more source
A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects. [PDF]
Nikoloulopoulos AK.
europepmc +1 more source

