Vine copula based modeling
With the availability of massive multivariate data comes a need to develop flexible
multivariate distribution classes. The copula approach allows marginal models to be …
multivariate distribution classes. The copula approach allows marginal models to be …
Implicit copulas: An overview
MS Smith - Econometrics and Statistics, 2023 - Elsevier
Implicit copulas are the most common copula choice for modeling dependence in high
dimensions. This broad class of copulas is introduced and surveyed, including elliptical …
dimensions. This broad class of copulas is introduced and surveyed, including elliptical …
Stock market returns and oil price shocks: A CoVaR analysis based on dynamic vine copula models
Crude oil plays a significant role in economic developments in the world. Understanding the
relationship between oil price changes and stock market returns helps to improve portfolio …
relationship between oil price changes and stock market returns helps to improve portfolio …
Volatility and Herding Bias on ESG Leaders' Portfolios Performance
We here analyze the factor loadings given by the CAPM, the Fama–French three (FF3), and
the five-factor model (FF5), and test the performance and the validity of adding two more …
the five-factor model (FF5), and test the performance and the validity of adding two more …
Moving Vision Zero programs forward: What pedestrian-focused countermeasure combinations work best and where? A dynamic copula-based time-series approach
Vision Zero stands out as one of the most promising systemic safety action plans. A crucial
step to ensure the successful implementation of Vision Zero is to continuously assess the …
step to ensure the successful implementation of Vision Zero is to continuously assess the …
[HTML][HTML] Vine copula based dependence modeling in sustainable finance
Climate change and sustainability have become societal focal points in the last decade.
Consequently, companies have been increasingly characterized by non-financial …
Consequently, companies have been increasingly characterized by non-financial …
A multivariate model to estimate environmental load on an offshore structure
Offshore structures such as oil platforms are subjected to significant environmental loads
caused by wind, waves, and current. The complexity of offshore environment requires robust …
caused by wind, waves, and current. The complexity of offshore environment requires robust …
Vine copula Granger causality in mean
Ever since the Granger causality test was proposed in 1969, financial market researchers
have used it heavily to determine whether the past of a one-time series facilitates the future …
have used it heavily to determine whether the past of a one-time series facilitates the future …
Multivariate stochastic generation of meteorological data for building simulation through interdependent meteorological processes
In recent years, the uncertainty of weather conditions and the impact of future climate
change on building energy assessment has received increasing attention. As an important …
change on building energy assessment has received increasing attention. As an important …
Probabilistic time series forecasts with autoregressive transformation models
Probabilistic forecasting of time series is an important matter in many applications and
research fields. In order to draw conclusions from a probabilistic forecast, we must ensure …
research fields. In order to draw conclusions from a probabilistic forecast, we must ensure …