useful tool that can be applied for the needs of corporate risk management in the area of the assessment of a firm …’s bankruptcy risk. Using two variants of the division of the research sample into the training and testing sets, it turned out that … variables is necessary for possibly building the most efficient tool for the early warning signs of bankruptcy risk. …

. The tail risk interdependence measurement framework relies on the multivariate Student-t Markov switching (MS) model and …This paper investigates the dynamic evolution of tail risk interdependence among U.S. banks, financial services and … the multiple-conditional value-at-risk (CoVaR) (conditional expected shortfall (CoES)) risk measures introduced in …

The primary purpose of the paper is to enable deeper insight into the measurement of economic forecast accuracy. The …

Portfolio risk management plays an important role in successful investments. Portfolio standard deviation, value-at-risk …, expected shortfall, and maximum absolute deviation are widely used portfolio risk measures. However, the existing portfolio … risk measures are vulnerable to larger skewness and kurtosis of the asset returns. Moreover, the traditional assumption of …

companies that are at risk of bankruptcy using the DEA method. The originality is the selection of key inputs and outputs to the …

calculus is based on various types of economic parameters, which are subject to frequent changes and high risk. A risk …

can be used in risk measurement and forecasting. Value at risk (VaR) is a widely used measure of financial risk, which … assumptions alone in measuring risk. Cushioning against risk has always created a plethora of complexities and challenges; hence …, this paper attempts to analyse statistical properties of various risk measures in a not normal distribution and provide a …

exponential pattern of the general hyperbolic absolute risk aversion (HARA) utility function that satisfies their respective … study is the construction and development of an optimal compensation agency model for risk management, which is derived by … considering the effect of risk aversion utility on revenue. The proposed model can provide a fair and feasible approach within the …

entropy. To measure risk, we use value-at-risk and conditional value-at-risk. The results indicate that, except for Tether …, the analyzed cryptocurrencies’ returns exhibited similar patterns of uncertainty and risk. Levels of uncertainty were … close to the maximum values, but high uncertainty is not always associated with high risk. During the pandemic crisis …