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dc.contributor.authorAnanda, O. K.
dc.contributor.authorMwita, Peter N.
dc.date.accessioned2019-08-15T07:47:13Z
dc.date.available2019-08-15T07:47:13Z
dc.date.issued2012
dc.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/4731
dc.description.abstractThis paper considers the problem of bootstrapping a local linear estimator in conditional quantile estimation of a financial time series assuming independent and identically distributed errors. A nonparametric regression bootstrap generating process is estimated, then bootstrap confidence bands fitted to the quantile estimates. Under appropriate assumptions, the local linear bootstrap estimator is known to be consistenten_US
dc.language.isoen_USen_US
dc.subjectQuantile estimationen_US
dc.subjectBootstrapen_US
dc.subjectLocal linearen_US
dc.subjectConsistencyen_US
dc.titleBootstrap Uniform Confidence Bands for A Local Linear Nonparametric Estimator and Applications to Financial Risk Managementen_US
dc.typeArticleen_US


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