Discover how tail risk impacts portfolios, why rare financial events matter, and strategies for safeguarding investments against significant, unexpected losses.

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

Is your feature request related to a problem? Please describe. It doesn't appear that there is an easy way to plot the marginal distribution for multivariate probability distributions. For example, ...

This study presents a method based on Archimedean and Gaussian copulas to simulate the occurrence of hydrological droughts. The droughts were characterized by theory of runs for four threshold levels ...

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China Ecological water replenishment (EWR) via ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

ATLANTA, March 28, 2024-- The Home Depot, the world's largest home improvement retailer, has entered into a definitive agreement to acquire SRS Distribution Inc. (“SRS"), a leading residential ...

Abstract: This paper proposes a nonparametric multivariate density forecast model based on deep learning. It not only offers the whole marginal distribution of each random variable in forecasting ...