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In all areas of human knowledge, datasets are increasing in both size and complexity, creating the need for richer statistical models. This trend is also true for economic data, where high-dimensional and nonlinear/noparametric inference is the norm in several fields of applied econometric work....
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In all areas of human knowledge, datasets are increasing in both size and complexity, creating the need for richer statistical models. This trend is also true for economic data, where high-dimensional and nonlinear/nonparametric inference is the norm in several fields of applied econometric...
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Summary This paper demonstrates the cases where bootstrap does not work for heteroscedastic time series models. We construct prediction intervals for the ARMA-GARCH models using bootstrap and see how a wrong application of bootstrap could lead to a false conclusion
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