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We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high … lower cost in capital reserves. In ES estimation the hybrid model yields the smallest error statistics surpassing even the … ; extreme value theory ; bootstrapping …
Persistent link: https://www.econbiz.de/10003891679
The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness...
Persistent link: https://www.econbiz.de/10011398115
Persistent link: https://www.econbiz.de/10003496561
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parameter without compromising the estimation of the remaining parameters of the model. An empirical illustration of our maximum …
Persistent link: https://www.econbiz.de/10011745280
derived from extreme value theory (EVT). Specifically, in a multi-asset study covering 30 years of stock, bond, commodity and … proposed methods based on the Box-Cox transformation, L-moment estimation and the Johnson system of distributions. We find that …
Persistent link: https://www.econbiz.de/10011587888
We assess the robustness of previous findings on the determinants of terrorism. Using extreme bound analysis, the three most comprehensive terrorism datasets, and focusing on the three most commonly analyzed aspects of terrorist activity, i.e., location, victim, and perpetrator, we re-assess the...
Persistent link: https://www.econbiz.de/10009266761
We introduce archetypal analysis as a tool to describe and categorize scientists. This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientists under...
Persistent link: https://www.econbiz.de/10009682823
We examine how the tail risk of currency returns over the past 20 years were impacted by central bank (monetary and liquidity) measures across the globe with an original and unique dataset that we make publicly available. Using a standard factor model, we derive theoretical measures of tail...
Persistent link: https://www.econbiz.de/10014336426
Kalman-filtering-based maximum-likelihood estimation method. Following the method, we estimate monthly and quarterly VAR(2 … GDP forecasts. The Kalman filter is used to compute the likelihood in estimation and to produce forecasts. Generally, the …
Persistent link: https://www.econbiz.de/10011449243