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This paper is aimed at presenting application of bootstrap interval estimation methods to the assessment of financial … investment’s effectiveness and risk. At first, we give an overview of various methods of bootstrap confidence interval estimation …, i.e. bootstrap-t interval, percentile interval and BCa interval. Then, bootstrap confidence interval estimation methods …
Persistent link: https://www.econbiz.de/10012887711
method (SPLINE) for estimating risk-neutral distributions (RNDs) from observed option prices. By using a bootstrap technique … Carlo methods. We argue that the bootstrap technique is to be preferred due to the non-normality of the error structure. Our …
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investigated. The methods are based on a bootstrap algorithm that adjusts mean and skewness of the bootstrap distribution of the …
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realized volatility may not cover the optimal two-point distribution wild bootstrap proposed by Gonçalves and Meddahi (2009 …). Then, we propose a new optimal nonlattice distribution which ensures the second-order correctness of the bootstrap. Third …
Persistent link: https://www.econbiz.de/10011274511
We show the importance of a dynamic aggregation bias in accounting for the PPP puzzle. We prove that established time-series and panel methods substantially exaggerate the persistence of real exchange rates because of heterogeneity in the dynamics of disaggregated relative prices. When...
Persistent link: https://www.econbiz.de/10005248142
This paper proposes some changes to the official methodology that is currently in use to measure the state of poverty in Mexico. Among other suggestions, it is recommended the use of bootstrapping to estimate confidence intervals for the poverty statistics, as well as the use of dominance...
Persistent link: https://www.econbiz.de/10005077239