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The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data or …
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Many postulated relations in finance imply that expected asset returns strictly increase in an underlying characteristic. To examine the validity of such a claim, one needs to take the entire range of the characteristic into account, as is done in the recent proposal of Patton and Timmermann...
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Many postulated relations in finance imply that expected asset returns should monotonically increase in a certain characteristic. To examine the validity of such a claim, one typically considers a finite number of return categories, ordered according to the underlying characteristic. A standard...
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This paper considers the problem of testing a finite number of moment inequalities. We propose a two-step approach. In the first step, a confidence region for the moments is constructed. In the second step, this set is used to provide information about which moments are "negative." A...
Persistent link: https://www.econbiz.de/10009743164
The accuracy of particle filters for nonlinear state-space models crucially depends on the proposal distribution that mutates time t-1 particle values into time t values. In the widely-used bootstrap particle filter this distribution is generated by the state-transition equation. While...
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observations are weighted through a raking procedure. We apply bootstrap resampling methods to estimate the variance, allowing for … bootstrap resampling method than through the naive linearization method, where the latter does not take into account the …
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