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This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of … that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel …
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This paper shows how to bootstrap hypothesis tests in the context of the Parks’s (1967) Feasible Generalized Least … Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)’s top competitor. The FGLS(Parks) estimator …
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This paper gives a computer-intensive approach to multi-step-ahead prediction of volatility in financial returns series under an ARCH/GARCH model and also under a model-free setting, namely employing the NoVaS transformation. Our model-based approach only assumes i..id innovations without...
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This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new theory-based predictions for how information risk and market stress influence aggregate herding intensity. We test these predictions empirically using a comprehensive data set of highfrequency and...
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