understanding diversification strategies. It introduces entropic value at risk (EVaR) as a coherent risk measure, which is an upper … bound to the conditional value at risk (CVaR), and explores its generalization, relativistic value at risk (RLVaR), rooted …, particularly in scenarios of heightened risk and increased concentration, crucial for mitigating negative net performances during …

How can risk of a company be allocated to its divisions and attributed to risk factors? The Euler principle allows for … an economically justified allocation of risk to different divisions. We introduce a method that generalizes the Euler … principle to attribute risk to its driving factors when these factors affect losses in a nonlinear way. The method splits loss …

Value-at-risk (VaR) and conditional value-at-risk (CVaR) are popular risk measures from academic, industrial and … investor is faced with a Markowitz type of risk reward problem at the final horizon, where variance as a measure of risk is …

We examine how sensitive the new performance indexes incorporating high moments and disaster risk are to disaster risk …. The new performance indexes incorporating high moments and disaster risk are the Aumann-Serrano performance index and … underlying risk. We show, by numerical examples and empirical examples, how sensitive these indexes are to disaster risk …

findings suggest that machine learning methods provide more accurate models of stock returns based on risk factors than … standard regression-based methods of estimation. They also indicate that certain risk factors and combinations of risk factors …

economic interactions, certain risks are associated with their implementation. Risk factors were given a particular priority … during the secondary and primary research, while determining the most relevant risk factors of investment project processes … in relation to the B2B market. The risk map for investment project processes was created in line with the relevant …

Risk diversification is the basis of insurance and investment. It is thus crucial to study the effects that could limit … it. One of them is the existence of systemic risk that affects all of the policies at the same time. We introduce here a … probabilistic approach to examine the consequences of its presence on the risk loading of the premium of a portfolio of insurance …

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 …

such policies. A typical industry practice consists of using fund mapping regressions to represent basis risk stemming from …

-horizon goal makes it more appealing among practitioners than myopic approaches, like Markowitz's mean-variance or risk parity. The … GOP literature typically considers risk-neutral investors with an infinite investment horizon. In this paper, we compute … the optimal bet sizes in the more realistic setting of risk-averse investors with finite investment horizons. We find that …