measures of risk. Furthermore, Qα(X ; p) is the optimal value in a certain minimization problem, the minimizers in which are … problems. In finance, Q0(X;p) and Q1(X ; p) are known as the value at risk (VaR) and the conditional value at risk (CVaR). The … sensitivity to risk. The problems of the effective computation of the bounds are considered. Various other related results are …

We explore a multi-asset jump-diffusion pricing model, combining a systemic risk asset with several conditionally … assets that works even if the data are incomplete and asynchronous. Alternatively, to find risk-neutral parameters, the least … propose a Laplace-transform-based approach to computing Value at Risk (VaR) and conditional VaR (also known as the expected …

that Lévy process-based models provide a better fit to the US statutory accounting data, and identifies how parameter risk … insurance parameter risk. …

measure for risk. The sensitivity of MaxVaR with respect to option characteristics like moneyness, time to maturity and risk …This paper investigates the risk exposure for options and proposes MaxVaR as an alternative risk measure which captures … the risk better than Value-at-Risk especially. While VaR is a measure of end-of-horizon risk, MaxVaR captures the interim …

Evaluating risk measures, premiums, and capital allocation based on dependent multi-losses is a notoriously difficult … by a heavy-tailed background risk. A particular attention is given to the distortion and weighted risk measures and … allocations, as well as their special cases such as the conditional layer expectation, tail value at risk, and the truncated tail …

risk measure and expected utility. …

This paper proposes a new method to introduce coherent risk measures for risks with infinite expectation, such as those … characterized by some Pareto distributions. Extensions of the conditional value at risk, the weighted conditional value at risk and …

future exchanges. Therefore, this paper uses a Value at Risk (VaR) model to measure the risk of investment in Bitcoin. In …

In this paper, the generalized Pareto distribution (GPD) copula approach is utilized to solve the conditional value-at-risk …-parametric kernel-smoothed interior and the parametric Pareto upper tail and (iii) Value-at-Risk (VaR) to quantify risk measure. The … minimizing CVaR measure and simulated copula returns combined outperforms the risk/return of domestic portfolios, such as the US …

The aim of this paper is to provide several examples of convex risk measures necessary for the application of the … classical portfolio risk measures such as the standard deviation, we, in particular, construct risk measures related to the … and Mahmoud (2017), and Zabarankin, Pavlikov, and Uryasev (2014), who used the absolute drawdown, our risk measure is …