Discover how the Cboe SKEW Index assesses market volatility and perceived tail-risk in the S&P 500, despite its limitations ...
Statistical modeling of skew-normal distributions provides a versatile framework for capturing asymmetry in univariate and multivariate data. By introducing a shape parameter to the classical normal ...
Discover normal distribution—a critical concept in finance—and its key properties, formula, and real-world applications.
In this paper the multivariate skew normal distribution, introduced by Azzalini and Dalla Valle (1996), is used as a basis in density expansions. A short summary of main properties of the distribution ...
In this paper we propose a new pricing methodology for European-style multi-asset derivatives based on a family of normal mean–variance mixture copulas. The goal is to develop a copula-based method ...
The protection of private data is a hot research issue in the era of big data. Differential privacy is a strong privacy guarantees in data analysis. In this paper, we propose DP-MSNM, a parametric ...