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The main contribution of this paper is a proof of the asymptotic validity of the application of the bootstrap to AR … establishing that a suitably constructed bootstrap estimator will have the same limit distribution as the least-squares estimator … robust standard errors or the bootstrap approximation of the distribution of autoregressive parameters. A simulation study …
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A puzzling characteristic of asset returns for various frequencies is the often observed positive autocorrelation at lag one. To some extent this can be explained by standard asset pricing models when assuming time-varying risk premia. However, one often finds better results when directly...
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different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …
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This paper applies a novel bootstrap method, the kernel block bootstrap, to quasi-maximum likelihood estimation of …" bootstrap. We investigate the first order asymptotic properties of the kernel block bootstrap method for quasi …-maximum likelihood demonstrating, in particular, its consistency and the first-order asymptotic validity of the bootstrap approximation …
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