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completely new sequential importance sampling estimator of the desired tail probability. Numerical experiments suggest that the … sequential importance sampling estimator can be significantly more efficient than its competitor …
Persistent link: https://www.econbiz.de/10013010233
This paper studies the approximation of extreme quantiles of random sums of heavy-tailed random variables, or more specifically, subexponential random variables. A key application of this approximation is the calculation of operational VaR (value at risk) for financial institutions, to determine...
Persistent link: https://www.econbiz.de/10013031755
Governments should embrace randomized trials to estimate the efficacy of different laws and regulations. Just as random assignment of treatments is the most powerful method of testing for the causal impact of pharmaceuticals, randomly assigning individuals or firms to different legal rules can...
Persistent link: https://www.econbiz.de/10014191559
completely new sequential importance sampling estimator of the desired tail probability. Numerical experiments suggest that the … sequential importance sampling estimator can be significantly more efficient than its competitor. …
Persistent link: https://www.econbiz.de/10011431354
This paper seeks to identify computationally efficient importance sampling (IS) algorithms for estimating large … importance sampling to estimate large deviation probabilities in those models. Numerical evidence indicates that the proposed …
Persistent link: https://www.econbiz.de/10012203783
Elasticity is a very popular concept in economics and physics, recently exported and reinterpreted in the statistical field, where it has given form to the so-called elasticity function. This function has proved to be a very useful tool for quantifying and evaluating risks, with applications in...
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