The study highlights that while modern states have developed concrete strategies to respond to potential threats, the resemblance of these strategies to one another could create unexpected challenges. The dynamic nature of the internet and the multitude of actors and sources of risk could put conventional wisdom to the test at a stage where the scope for response is limited. This highlights the need for states to continually adapt their strategies to address emerging risks and avoid relying solely on common knowledge or uniform thinking.
"Shocks to disaster costs seem to decrease all type of emissions significantly and also increase renewable energy use significantly. The occurrence of natural disasters increases the political disagreement among U.S. politicians, as well as, the climate policy uncertainty, highlighting the need for efficient policymaking and regulations. "
"... studies in various findings suggests a positive link between ESG and the financial performance of an organization."
"Our model yields richer separating Nash equilibria than pure moral hazard and pure adverse selection models, although separating Nash equilibria may not exist in some cases. It also retains some properties, for example, no full insurance and the positive correlation between insurance coverage and risk type, in those benchmark models. Our study on comparative statics indicates that, under some conditions and with some exceptions, the optimal indemnity and premium decrease with disutility from effort, increase with potential loss, and decrease with the initial wealth of the insured."
This article offers a #riskmanagement framework specifically designed for the #insurance and #reinsurance industries to analyze the #capitalallocation of risk, capital budgeting, and capital structure decisions.
"After reviewing the main characteristics of cyber risk, we consider the three layers of cyber space: hardware, software and psycho-cognitive layer."
"... model uncertainty is a vital component of the current challenges in risk measurement, and therefore the regulator should design risk measures encouraging well-understood prudent decisions over (less understood) risky ones. From this perspective robust regulation should be a desirable goal. To achieve such an objective, simple – but not simpler – rules are needed."
"We present a novel approach to quantify the uncertainty and sensitivity of risk estimates, using the CLIMADA open-source climate risk assessment platform. This work builds upon a recently developed extension of CLIMADA, which uses statistical modelling techniques to better quantify climate model ensemble uncertainty. Here, we further analyse the propagation of hazard, exposure and vulnerability uncertainties by varying a number of input factors based on a discrete, scientifically justified set of options."
"We address the problem of sharing risk among agents with preferences modelled by a general class of comonotonic additive and law-based functionals that need not be either monotone or convex. Such functionals are called distortion riskmetrics, which include many statistical measures of risk and variability used in portfolio optimization and insurance."
"We address the problem of sharing risk among agents with preferences modelled by a general class of comonotonic additive and law-based functionals that need not be either monotone or convex. Such functionals are called distortion riskmetrics, which include many statistical measures of risk and variability used in portfolio optimization and insurance."