Value at Risk of portfolios using copulas

K Byun, S Song - Communications for Statistical Applications and …, 2021 - koreascience.kr
Abstract Value at Risk (VaR) is one of the most common risk management tools in finance.
Since a portfolio of several assets, rather than one asset portfolio, is advantageous in the …

Wind direction fluctuation analysis for wind turbines

P Guo, S Chen, J Chu, D Infield - Renewable Energy, 2020 - Elsevier
Fluctuations are a key characteristic of the wind resource. It is important to quantitatively
analyze wind direction fluctuation due to its influence on the optimization of wind turbine yaw …

A two-stage general approach to aggregate multiple bank risks

X Zhu, L Wei, J Li - Finance Research Letters, 2021 - Elsevier
There are many types of bank risks and their basic characteristics vary greatly differently,
therefore, how to effectively aggregate three or more risks is still a great challenge. This …

[HTML][HTML] Detection of block-exchangeable structure in large-scale correlation matrices

S Perreault, T Duchesne, JG Nešlehová - Journal of Multivariate Analysis, 2019 - Elsevier
Correlation matrices are omnipresent in multivariate data analysis. When the number d of
variables is large, the sample estimates of correlation matrices are typically noisy and …

Risk measurement of stock markets in BRICS, G7, and G20: Vine copulas versus factor copulas

Q Song, J Liu, S Sriboonchitta - Mathematics, 2019 - mdpi.com
Multivariate copulas have been widely used to handle risk in the financial market. This paper
aimed to adopt two novel multivariate copulas, Vine copulas and Factor copulas, to measure …

[HTML][HTML] Multivariate dynamic mixed-frequency density pooling for financial forecasting

A Virbickaitė, HF Lopes, MD Zaharieva - International Journal of …, 2024 - Elsevier
This article investigates the benefits of combining information available from daily and
intraday data in financial return forecasting. The two data sources are combined via a …

[HTML][HTML] Composite likelihood estimation method for hierarchical Archimedean copulas defined with multivariate compound distributions

H Cossette, SP Gadoury, E Marceau… - Journal of Multivariate …, 2019 - Elsevier
We consider the family of hierarchical Archimedean copulas obtained from multivariate
exponential mixture distribution through compounding, as introduced by Cossette et …

Risk Assessment of Different Maize (Zea mays L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model

X Zan, Z Xing, X Gao, W Liu, X Zhang, Z Liu… - … International Journal of …, 2021 - mdpi.com
Mastering the lodging risk of planting environment is of great significance to the optimal
layout of maize varieties and the breeding of lodging resistant varieties. However, the …

Temporal Models and Their Applications

J Górecki, O Okhrin - Hierarchical Archimedean Copulas, 2024 - Springer
Modeling temporal dependency holds significant importance across diverse domains like
finance, economics, and resource allocation. By capturing the intricate relationships …

Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas

A Barbiero - AStA Advances in Statistical Analysis, 2021 - Springer
Focusing on point-scale random variables, ie variables whose support consists of the first m
positive integers, we discuss how to build a joint distribution with pre-specified marginal …