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The dynamics of implied volatilities : a common principal components approach

Fengler, Matthias R.; Härdle, Wolfgang; Villa, Christophe - 2001

It is common practice to identify the number and sources of shocks that move implied volatilities across space and time by applying Principal Components Analysis (PCA) to pooled covariance matrices of changes in implied volatilities. This approach, however, is likely to result in a loss of...

Persistent link: https://www.econbiz.de/10009613597

The Cornish-Fisher-Expansion in the context of Delta - Gamma - Normal approximations

Jaschke, Stefan R. - 2001

Qualitative and quantitative properties of the Cornish-Fisher-Expansion in the context of Delta-Gamma-Normal approaches to the computation of Value at Risk are presented. Some qualitative deficiencies of the Cornish-Fisher-Expansion - the monotonicity of the distribution function as well as...

Persistent link: https://www.econbiz.de/10009614287

A nonparametric regression estimator that adapts to error distribution of unknown form

Linton, Oliver; Xiao, Zhijie - 2001

We propose a new estimator for nonparametric regression based on local likelihood estimation using an estimated error score function obtained from the residuals of a preliminary nonparametric regression. We show that our estimator is asymptotically equivalent to the infeasible local maximum...

Persistent link: https://www.econbiz.de/10009613602

Extracting implicit density functions from short term interest rate options

Nielsen, Hannah - 2001

Using option prices the expectations of the market participants concerning the underlying asset can be extracted as well as the uncertainty surrounding these expectations. In this paper a mixture of lognormal density functions will be assumed to analyze options on three-month Euribor futures for...

Persistent link: https://www.econbiz.de/10009614294

Robust estimation in nonlinear regression and limited dependent variable models

Čížek, Pavel - 2001

Classical parametric estimation methods applied to nonlinear regression and limited-dependent-variable models are very sensitive to misspecification and data errors. On the other hand, semiparametric and nonparametric methods, which are not restricted by parametric assumptions, require more data...

Persistent link: https://www.econbiz.de/10009618360

Smoothed influence function : another view at robust nonparametric regression

Tamine, Julien - 2001

In this work, we introduce a smoothed influence function that constitute a theoretical tool for studying the outliers robustness properties of a large class of nonparametric estimators. With this tool, we first show the nonrobustness of the Nadaraya-Watson estimator of regression. Then we show...

Persistent link: https://www.econbiz.de/10009626684

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 obtain if one could accurately measure exposure to environmental lead media will differ in important ways when one measures exposure with error. 2. The effects of measurement...

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

The local power of some unit root tests for panel data

Breitung, Jörg - 1999

(1993) and Im, Pesaran and Shin (1997) suggest bias adjusted t-statistics. Such corrections are necessary to account for the … affected by two different terms. The first term represents the asymptotic effect on the bias due the detrending method and the … do not require a bias correction. The results of a Monte Carlo experiment suggest that avoiding the bias can improve the …

Persistent link: https://www.econbiz.de/10009581103

On the (nonlinear) relationship between exchange rate uncertainty and trade : an investigation of US trade figures in the Group of Seven

Herwartz, Helmut (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001918978

Cai, Zongwu (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001919034

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