Bootstrap Uniform Confidence Bands for A Local Linear Nonparametric Estimator and Applications to Financial Risk Management
dc.contributor.author | Ananda, O. K. | |
dc.contributor.author | Mwita, Peter N. | |
dc.date.accessioned | 2019-08-15T07:47:13Z | |
dc.date.available | 2019-08-15T07:47:13Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://ir.mksu.ac.ke/handle/123456780/4731 | |
dc.description.abstract | This 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 consistent | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Quantile estimation | en_US |
dc.subject | Bootstrap | en_US |
dc.subject | Local linear | en_US |
dc.subject | Consistency | en_US |
dc.title | Bootstrap Uniform Confidence Bands for A Local Linear Nonparametric Estimator and Applications to Financial Risk Management | en_US |
dc.type | Article | en_US |
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School of Pure and Applied Sciences [259]
Scholarly Articles by Faculty & Students in the School of Pure and Applied Sciences