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    Bootstrap Uniform Confidence Bands for A Local Linear Nonparametric Estimator and Applications to Financial Risk Management

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    Date
    2012
    Author
    Ananda, O. K.
    Mwita, Peter N.
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    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
    URI
    http://ir.mksu.ac.ke/handle/123456780/4731
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    • School of Pure and Applied Sciences [259]

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