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Distribution-invariant dynamic risk measures

Weber, Stefan (contributor) - 2003 - [Elektronische Ressource], rev

Persistent link: https://www.econbiz.de/10001917139

Coherent risk measures, valuation bounds, and (my,p)-portfolio optimization

Jaschke, Stefan R.; Küchler, Uwe - 1999

This paper presents a general theory that works out the relation between coherent risk measures, valuation bounds, and certain classes of portfolio optimization problems. It is economically general in the sense that it works for any cash stream spaces, be it in dynamic trading settings, one-step...

Persistent link: https://www.econbiz.de/10009581108

Measurement error, biases, and the validation of complex models

Carroll, Raymond J.; Galindo, Christian D. - 1997

There are three major points to this article: 1. Measurement error causes biases in regression fits. The line one would … exposure with error. 2. The effects of measurement error vary from study-to-study. It is dangerous to take measurement error … corrections derived from one study and apply them to data from entirely different studies or populations. 3. Measurement error can …

Persistent link: https://www.econbiz.de/10009631751

Convex measures of risk and trading constraints

Föllmer, Hans; Schied, Alexander - 2001

We introduce the notion of a convex measure of risk, an extension of the concept of a coherent risk measure defined in Artzner et aL (1999), and we prove a corresponding extension of the representation theorem in terms of probability measures on the underlying space of scenarios. As a case...

Persistent link: https://www.econbiz.de/10009615426

On adaptive smoothing in partial linear models

Golubev, Georgi; Härdle, Wolfgang - 2001

We consider a problem of estimation of parametric components in a partial linear model. Suppose that a finite set E of linear estimators is given. Our goal is to mimic the estimator in E that has the smallest risk. Using a second order expansion of the risk of linear estimators we propose a...

Persistent link: https://www.econbiz.de/10009614293

Regression quantiles with errors-in-variables

Ioannides, D. A. (contributor); … - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001916755

Asymptotic properties of model selection procedures in linear regression

Droge, Bernd (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001919491

Nonparametric estimation and testing of interaction in additive models

Sperlich, Stefan; Tjostheim, Dag; Yang, Lijian - 1998

We consider an additive model with second order interaction terms. It is shown how the components of this model can be estimated using marginal integration, and the asymptotic distribution of the estimators is derived. Moreover, two test statistics for testing the presence of interactions are...

Persistent link: https://www.econbiz.de/10009574875

Projection pursuit regression and neural networks

Klinke, Sigbert; Grassmann, J. - 1998

Persistent link: https://www.econbiz.de/10009576213

Regression and contrast estimated based on adaptive regressograms depending on qualitative explanatory variables

Bunke, Olaf; Castell, Ernestina - 1998

This methodological paper discusses the application of "adaptive" non-parametric procedures for estimating regression functions or contrasts in situations with quantitative regressands and qualitative regressors. We propose to apply an adaptive regressogram, that is the selection of a...

Persistent link: https://www.econbiz.de/10009577458