## ABSTRACT In this paper, we investigate the performance of a class of M‐estimators for both symmetric and asymmetric conditional heteroscedastic models in the prediction of value‐at‐risk. The class of estimators includes the least absolute deviation (LAD), Huber's, Cauchy and B‐estimator, as well
✦ LIBER ✦
Robust estimation of the conditional median function at elliptical models
✍ Scribed by Christophe Croux; Catherine Dehon; Peter J. Rousseeuw; Stefan Van Aelst
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 100 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0167-7152
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✦ Synopsis
In this note we study the problem of estimating the parameters of the conditional median function at elliptical models. For this we use positive-breakdown estimators of multivariate location and scatter, and obtain in uence functions and asymptotic variances of the resulting slope and intercept. We also consider a technique to gain e ciency by artiÿcially increasing the dimension.
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