The objective of this paper is to investigate the volatility dynamics of the six major digital currencies, Bitcoin, Ethereum, Ripple, Litecoin, Dash, and NEM, using a variety of GARCH models and skewed distributions. Selecting the best GARCH model and distribution fitting better each digital...

We elaborate on the tail conditional expectation, the tail conditional variance, and the tail variance when the residuals follow the standardized Pearson type-IV distribution. If the probability density function describing the data generation process is continuous and the moments are finite,...

The cumulative distribution function of the Pearson type IV distribution is of complex form and includes a complex hypergeometric function. Although the mathematical form is complex, the resulting imaginary part is actually of the order which is attributed to the series summation of the...

Digital currencies and cryptocurrencies have hesitantly started to penetrate the investors, and the next step will be the regulatory risk management framework. We examine the Value-at-Risk and Expected Shortfall properties for Bitcoin and Ethereum, using GARCH methodology and filtered historical...

The majority of stylized facts of financial time series and several Value-at-Risk measures are modeled via univariate or multivariate GARCH processes. It is not rare that advanced GARCH models fail to converge for computational reasons, and a usual parsimonious approach is the GJR-GARCH model....

The public policies implemented in order to contain the spread of COVID-19 in the community have created issues both in the internal and the external environments of the Greek rural healthcare enterprises. This study aimed to investigate the full extent of the issues (internal and external)...

We elaborate on a new distributional scheme resulting from the generalized Pearson distribution with application to financial modelling. As case studies we consider the major historical indices daily returns, DJIA, NASDAQ composite, FTSE100, CAC40, DAX and S&P500, as well as, high-frequency...

We examine the existence of herding and anti-herding (positive herding) behavior in major European benchmarking stock market indices. Following the recent events that unfolded in the Eurozone sovereign debt crisis our analysis is further expanded on two subsamples namely north and south European...

Typical issues of multivariate GARCH models are dimensionality, which is time consuming, both in terms of computations and their programming, and the availability of very few distributional schemes, since linear correlations are a natural dependence measure, only if the joint distribution of the...

The recent financial crisis clearly demonstrated that herding behavior incorporates an unhedgeable systemic risk, exposing investors and financial institutions to market prices and valuations, which cannot be solely explained by fundamentals. We examine the existence of herding behavior of the...