Showing 1 - 10 of 184
High-frequency data can provide us with a quantity of informa- tion for forecasting, help to calculate and prevent the future risk based on extremes. This tail behaviour is very often driven by ex- ogenous components and may be modelled conditional on other vari- ables. However, many of these...
Persistent link: https://www.econbiz.de/10011963633
Systemic weather risk is a major obstacle for the formation of private (non- subsidized) crop insurance. This paper … explores the possibility of spatial diversification of insurance by estimating the joint occurrence of unfavorable weather … dependencies between multivariate random variables. The estimation procedure is applied to weather data in Germany. Our results …
Persistent link: https://www.econbiz.de/10010263758
It is an undisputed fact that weather risk increases over time due to climate change. However, qualification of this … statement with regard to the type of weather risk and geographical location is needed. We investigate the application of novel … statistical tools for assessing changes in weather risk over time. We apply local t-test, change point tests and Mann-Kendall test …
Persistent link: https://www.econbiz.de/10010281514
The supply of affordable crop insurance is hampered by the existence of systemic weather risk which results in large … risk premiums. In this article, we assess the systemic nature of weather risk for 17 agricultural production regions in … the weather index and the strike level of the insurance. Our findings are relevant for insurers and insurance regulators …
Persistent link: https://www.econbiz.de/10010281554
-stage Heckman procedure. Using 37 years of spatial and temporal information on weather and fire records in Southern California, this …, offering a technique to predict and forecast wildfire occurrences based on weather information that is readily available at low …
Persistent link: https://www.econbiz.de/10010270697
Weather influences our daily lives and choices and has an enormous impact on cooperate revenues and earnings. Weather … derivatives differ from most derivatives in that the underlying weather cannot be traded and their market is relatively illiquid …. The weather derivative market is therefore incomplete. This paper implements a pricing methodology for weather derivatives …
Persistent link: https://www.econbiz.de/10010274151
dynamic behavior of temperatures (further used for pricing weather derivatives), implied volatilities and risk patterns and …
Persistent link: https://www.econbiz.de/10010281515
Recently the topic of global warming has become very popular. The literature has concentrated its attention on the evidence of such effect, either by detecting regime shifts or change points in time series. The majority of these methods are designed to find shifts in mean, but only few can do...
Persistent link: https://www.econbiz.de/10010318774
We consider two semiparametric models for the weight function in a biased sample model. The object of our interest parametrizes the weight function, and it is either Euclidean or non Euclidean. One of the models discussed in this paper is motivated by the estimation the mixing distribution of...
Persistent link: https://www.econbiz.de/10005861031
Normal distribution of the residuals is the traditional assumption in the classicalmultivariate time series models. Nevertheless it is not very often consistent with the real data.Copulae allows for an extension of the classical time series models to nonelliptically distributedresiduals. In this...
Persistent link: https://www.econbiz.de/10005865416