risk measures for portfolios with infrequently traded securities have not been explored in the literature. We propose a … methodology to calculate market risk measures based on the Kalman filter which can be used on incomplete datasets. We implement … applied to other markets with thinly traded securities. Our methodology provides reliable market risk measures in portfolios …

quantile and expectile estimation, a platform for risk assessment is provided. ES and implications for tail events under … different distributional scenarios are investigated, particularly we discuss the implications of increased tail risk for mixture … can be successfully estimated on a daily basis using a one-year time horizon across different risk levels. …

risk measures for portfolios with infrequently traded securities have not been explored in the literature. We propose a … methodology to calculate market risk measures based on the Kalman filter which can be used on incomplete datasets. We implement … applied to other markets with thinly traded securities. Our methodology provides reliable market risk measures in portfolios …

climate change. The risk of uncertain and potentially irreversible catastrophes is an important issue related to the latter … benchmark integrated assessment model. This study moves beyond recent catastrophe or tipping point studies with arbitrary risk … introduced here informs risk management strategies that balance uncertain future climate change impacts with the costs of …

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 … retailer, which is 3% of the expected revenue. We believe that risk management in supply chains is becoming increasingly …

with risk measured by CVaR and additional sophisticated constraints. The cash outflow shortages are penalized in the …