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Hiquest;gh, Linton and Nielsen (2006) showed that the famous result in the reward winning paper of Froot and Stein (1998) is not correct in the sense that their result does not follow from their assumptions. In this paper we show that the economic intuition behind the paper of Froot and Stein...
Persistent link: https://www.econbiz.de/10012726790
This paper presents an analysis of motor vehicle insurance claims relating to vehicle damage and to associated medical expenses. We use univariate severity distributions estimated with parametric and non-parametric methods. The methods are implemented using the statistical package R. Parametric...
Persistent link: https://www.econbiz.de/10010903511
This paper presents an analysis of motor vehicle insurance claims relating to vehicle damage and to associated medical expenses. We use univariate severity distributions esti- mated with non-parametric methods. The methods are implemented using the statistical package R. The nonparametric...
Persistent link: https://www.econbiz.de/10010908100
This paper questions the equidistribution assumption for the random effects in a frequency risk model. Two models are presented, which use parametric and nonparametric links between the variance of the random effect and frequency risk. They are estimated on a Spanish automobile insurance...
Persistent link: https://www.econbiz.de/10005375488
Two speed management policies were implemented in the metropolitan area of Barcelona aimed at reducing air pollution concentration levels. In 2008, the maximum speed limit was reduced to 80 km/h and, in 2009, a variable speed system was introduced on some metropolitan motorways. This paper...
Persistent link: https://www.econbiz.de/10011093295
A method to estimate an extreme quantile that requires no distributional assumptions is presented. The approach is based on transformed kernel estimation of the cumulative distribution function (cdf). The proposed method consists of a double transformation kernel estimation. We derive optimal...
Persistent link: https://www.econbiz.de/10010583547
Persistent link: https://www.econbiz.de/10006885594
Here is an example on how to calculate the risk of a portfolio using bivariate parametric copulas and Monte Carlo simulation. First, the parameter of the copula are estimated, then marginal distributions are fitted and value at risk (VaR) and tail value at risk (TVaR) are calculated.
Persistent link: https://www.econbiz.de/10011170419
A transformation kernel density estimator that is suitable for heavy-tailed distributions is presented. Using a double transformation, the choice of the bandwidth parameter becomes straightforward. An illustration and simulation results are presented.
Persistent link: https://www.econbiz.de/10005138143
Se analiza la distribución individual del coste acumulado a lo largo de la vida de los cuidados de larga duración relacionados con la dependencia. A partir de la encuesta EDAD (INE, 2008), la tabla de mortalidad para la población española, el coste económico de los servicios de cuidados y...
Persistent link: https://www.econbiz.de/10010659444