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Locally adaptive estimation methods with application to univariate time series

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  • Mstislav Elagin
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    Abstract

    The paper offers a unified approach to the study of three locally adaptive estimation methods in the context of univariate time series from both theoretical and empirical points of view. A general procedure for the computation of critical values is given. The underlying model encompasses all distributions from the exponential family providing for great flexibility. The procedures are applied to simulated and real financial data distributed according to the Gaussian, volatility, Poisson, exponential and Bernoulli models. Numerical results exhibit a very reasonable performance of the methods.

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    File URL: http://arxiv.org/pdf/0812.0449
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    Paper provided by arXiv.org in its series Papers with number 0812.0449.

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    Date of creation: Dec 2008
    Handle: RePEc:arx:papers:0812.0449
    Contact details of provider: Web page: http://arxiv.org/

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