Similar Search Results

The stochastic fluctuation of the quantile regression curve

Härdle, Wolfgang (contributor); Song, Song (contributor) - 2008

Persistent link: https://www.econbiz.de/10003693057

Increasing weather risk : fact of fiction?

Wang, Weining; Bobojonov, Ihtiyor B.; Härdle, Wolfgang; … - 2011

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

Estimation and testing for varying coefficients in additive models with marginal integration

Yang, Lijian; Härdle, Wolfgang; Park, Byeong U. - 2002

We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate … regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …

Persistent link: https://www.econbiz.de/10009627286

Common factors in credit defaults swaps markets

Chen, Yi-Hsuan; Härdle, Wolfgang - 2012

We examine what are common factors that determine systematic credit risk and estimate and interpret the common risk factors. We also compare the contributions of common factors in explaining the changes of credit default swap (CDS) spreads during the pre-crisis, crisis and post-crisis period....

Persistent link: https://www.econbiz.de/10009634306

Network quantile autoregression

Zhu, Xuening; Wang, Weining; Wang, Hangsheng; Härdle, … - 2016

connected nodes and node spe- ci c characteristics in a quantile autoregression process. A minimum contrast estimation approach …

Persistent link: https://www.econbiz.de/10011572028

Empirical pricing kernels and investor preferences

Detlefsen, Kai (contributor); Härdle, Wolfgang (contributor) - 2007

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

Statistics of risk aversion

Giacomini, Enzo (contributor); Härdle, Wolfgang (contributor) - 2007

Persistent link: https://www.econbiz.de/10003633711

Value-at-risk and expected shortfall when there is long range dependence

Härdle, Wolfgang (contributor); Mungo, Julius (contributor) - 2008

portfolio (Bayer, Siemens and Volkswagen). Classical V aR estimation methodology such as exponential moving average (EMA) as …

Persistent link: https://www.econbiz.de/10003636008

Support vector regression based GARCH model with application to forecasting volatility of financial returns

Chen, Shiyi (contributor); Jeong, Kiho (contributor); … - 2008

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

Dynamic semiparametric factor models in risk neutral density estimation

Giacomini, Enzo (contributor); Härdle, Wolfgang (contributor) - 2008

Dimension reduction techniques for functional data analysis model and approximate smooth random functions by lower dimensional objects. In many applications the focus of interest lies not only in dimension reduction but also in the dynamic behaviour of the lower dimensional objects. The most...

Persistent link: https://www.econbiz.de/10003727490