Appropriate modeling of time-varying dependencies is very important for quantifying financial risk, such as the risk associated with a portfolio of financial assets. Most of the papers analyzing ...

Abstract: The heavy-tailed Multivariate Normal Inverse Gaussian (MNIG) distribution is a recent variance-mean mixture of a multivariate Gaussian with a univariate inverse Gaussian distribution. Due to ...

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James Chen, CMT is an expert trader, investment adviser, and global market strategist. Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance ...

Abstract: SUMMARY & CONCLUSIONSInverse Gaussian distribution is one of the most important distributions in reliability evaluation. The relevance between parameters is neglected in traditional ...

The scale parameter is 1 for Poisson and binomial distributions. SAS/INSIGHT software provides different scale parameter estimates for normal, inverse Gaussian, and gamma distributions: Note You can ...

The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...