look at the problem of calibrating financial models, measuring the model uncertainty of a claim and choosing an optimal … uncertainty. Using the framework for market risk measures we propose axioms for new classes of model uncertainty measures. Similar … to the market risk case, we prove representation theorems for coherent and convex model uncertainty measures. Example …

evaluations due to uncertainty in future oil prices. Conventionalprice forecasting methods used in the industry typically … can improve the assessment of price uncertainty they can also be tedious toimplement. The inverted hockey stick method is … economicuncertainty.Although we cannot eliminate uncertainty from investment evaluations, we canbetter quantify the uncertainty by …

risk, andinformation uncertainty.An integrated economic/epidemic evaluation is done to examine the impact of variouscontrol … reducing strategy.Another issue related to risk and uncertainty is the response of consumers and domesticmarkets to the … of information uncertainty infutures market response. Results suggest that livestock futures markets respond toadverse …

impact of uncertainty and failed expectations induced by money leads to specific patterns of economic disruption. These …

investments and make business model calculable. Likewise demand side faces uncertainty: evaluation of suppliers and whose outputs … then. Therefore, repeating transactions with same counterparty can be seen as instrument reducing uncertainty and imperfect …

datas and poverty data as well as the uncertainty of respective models demand implications for implementation, concepts and … for the formulation of policy objectives. The implicit uncertainty in distributional policies is more pronounced than the … respective uncertainty of allocational or stabilizational policies. Concluding, the author derives generell implications for …