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...

Modern computing equipment is present at schools and universities at all levelsof education. 4 In the statistical sciences computers offer great opportunities toenrich the learning process by the means of e.g. animations, software integrationor on-the-fly computations. A personal review of...

With the increase of e-learning by universities and educational institutes in the worldthrough more electronic platforms, come the questions to researchers, educators anddesigners of electronic platforms about feasibility and using this method of learning.Are we achieving the desired goals and...

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...

As a function of strike and time to maturity the implied volatilityestimation is a challenging task in nancial econometrics. DynamicSemiparametric Factor Models (DSFM) are a model class that allowsfor the estimation of the implied volatility surface (IVS) in a dynamiccontext, employing...

Modeling the portfolio credit risk is one of the crucial issues of the last yearsin the financial problems. We propose the valuation model of Collateralized DebtObligations based on a one- and two-parameter copula and default intensities estimatedfrom market data. The presented method is used to...

Supported by several recent investigations the empirical pricing kernel paradox might beconsidered as a stylized fact. In Chabi-Yo et al. (2008) simulation studies have been presentedwhich suggest that this paradox might be caused by regime switching of stock prices in financialmarkets....

In this paper we propose the GHADA risk management model that is based on the generalizedhyperbolic (GH) distribution and on a nonparametric adaptive methodology. Comparedto the normal distribution...

Recently, Diebold and Li (2003) obtained good forecasting results foryield curves in a reparametrized Nelson-Siegel framework. We analyze similarmodeling approaches for price curves of variance swaps that serve nowadaysas hedging instruments for options on realized variance. We consider the...

The first stages of any data analysis are to get to know the aims of the studyand to get to know the data. In this study the main goal is to predict acompany´s chances of going bankrupt based on its recent financial returns...