Showing 1 - 10 of 22
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...
Persistent link: https://www.econbiz.de/10009379509
-in estimation. We apply the empirical likelihood based test to a discretised diffusion model which has been recently considered in …
Persistent link: https://www.econbiz.de/10009612573
This paper analyzes empirical market utility functions and pricing kernels derived from the DAX and DAX option data for three market regimes. A consistent parametric framework of stochastic volatility is used. All empirical market utility functions show a region of risk proclivity that is...
Persistent link: https://www.econbiz.de/10003633572
portfolio (Bayer, Siemens and Volkswagen). Classical V aR estimation methodology such as exponential moving average (EMA) as …
Persistent link: https://www.econbiz.de/10003636008
In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...
Persistent link: https://www.econbiz.de/10003636113
with the estimation from the simulated process, though the BC method shows smaller deviations in case of high interest rate …
Persistent link: https://www.econbiz.de/10003727608
Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management.The recent availability of high-frequency data allows for refined methods in this field.In particular, more precise measures for the daily or lower frequency volatility can be...
Persistent link: https://www.econbiz.de/10003727640
With the recent availability of high-frequency Financial data the long range dependence of volatility regained researchers' interest and has lead to the consideration of long memory models for realized volatility. The long range diagnosis of volatility, however, is usually stated for long sample...
Persistent link: https://www.econbiz.de/10003796151
The dynamics of hourly electricity prices in day-ahead markets is an important element of competitive power markets that were only established in the last decade. In electricity markets, the market microstructure does not allow for continuous trading, since operators require advance notice in...
Persistent link: https://www.econbiz.de/10003952964
-Gaussian dependency structures with a small number of parameters. In this paper we develop a novel adaptive estimation technique of the … ; Archimedean copula ; adaptive estimation …
Persistent link: https://www.econbiz.de/10003953027