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In this paper we introduce various set inference problems as they appear in finance and propose practical and powerful … discount factors and the admissible mean-variance sets of asset portfolios. We propose to make inference on such sets using … inference on sets. …
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The bootstrap is a popular and useful tool for estimating the asymptotic variance of complicated estimators. Ironically, the fact that the estimators are complicated can make the standard bootstrap computationally burdensome because it requires repeated re-calculation of the estimator. In...
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In this paper we consider the problem of inference on a class of sets describing a collection of admissible models as … especially appealing in the target applications. Moreover, the resulting inference procedures are also more powerful than the …
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unstable. Here, we provide a rigorous likelihood inference approach to determine t<sub>c</sub>, which takes into account the …
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The bootstrap is a convenient tool for calculating standard errors of the parameters of complicated econometric models. Unfortunately, the fact that these models are complicated often makes the bootstrap extremely slow or even practically infeasible. This paper proposes an alternative to the...
Persistent link: https://www.econbiz.de/10010490878