In risk assessment, numerous subfactors influence the probabilities of the main factors. These main factors reflect … adverse outcomes, which are essential in risk assessment. A Bayesian network can model the entire set of subfactors and their …, in many practical problems, including environmental risk assessment, it is not possible to assign crisp probabilities for …

interdependence in the sensitivity of assets to the downside risk of other financial assets under severe firm-level and market … the "transmitters" and "receivers" of downside risk. We study the return series of 11 companies and the Food Industry … Mahram Manufacturing is the safest to hedge equity risk, and Glucosan and Behshahr Industries are the riskiest, while Gorji …

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 the context of stochastic uncertainty and the increasing complexity of logistics processes in the retail sector … purpose of the present work is to assess the impact of risk events and unstable conditions on the level of quality of supply … occurrence of a man-made risk event and the shutdown of production of one of the suppliers on the financial, customer, and …

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 …

An accurate assessment of the risk of extreme environmental events is of great importance for populations, authorities … and the banking/insurance/reinsurance industry. Koch (2017) introduced a notion of spatial risk measure and a … corresponding set of axioms which are well suited to analyze the risk due to events having a spatial extent, precisely such as …

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 …

flow and economy. This paper aims to review the existing literature on risk factors in supply chain management in an … uncertain and competitive business environment. Papers that contained the word "risk" in their titles, keywords, or abstracts … were selected for conducting the theoretical analyses. Supply chain risk management is an integral function of the supply …