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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. …
Persistent link: https://www.econbiz.de/10011349502
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 …
Persistent link: https://www.econbiz.de/10012854818
Persistent link: https://www.econbiz.de/10003964894
extreme risk modeling based on full distribution modeling and and extreme value theory …
Persistent link: https://www.econbiz.de/10013132046
One of the key components of financial risk management is risk measurement. This typically requires modeling … financial econometrics literature have developed several models based on Extreme Value Theory (EVT) to carry out these tasks …
Persistent link: https://www.econbiz.de/10011866456
the Value at Risk (VaR) and the Expected Short-Fall (ES) at 95% and 99%. One of the results on calculating the maximum …
Persistent link: https://www.econbiz.de/10011689643
estimators of market risk. Despite advances in the theory and practice of evaluating risk, existing measures are notoriously poor … extreme value theory (EVT) to propose a multivariate estimation procedure for value-at-risk (VaR) and expected shortfall (ES …The catastrophic failures of risk management systems in 2008 bring to the forefront the need for accurate and flexible …
Persistent link: https://www.econbiz.de/10013100621
Persistent link: https://www.econbiz.de/10012125354
In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...
Persistent link: https://www.econbiz.de/10011431354
Persistent link: https://www.econbiz.de/10012601997