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Simulation-Based Exact Tests with Unidentified Nuisance Parameters under the Null Hypothesis : the Case of Jumps Tests in Model with Conditional Heteroskedasticity Author info | Abstract | Publisher info | Download info | Related research | Statistics Khalaf, Lynda
Saphores, Jean-Daniel
Bilodeau, Jean-François
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We use the Monte-Carlo (MC) test technique to find valid p-values when testing for discontinuities in jump-diffusion models. While the distribution of the LR statistic for this test is typically non-standard, we show that the MC p-value is finite sample exact if no other (identified) nuisance parameter is present. Otherwise, we derive nuisance-parameter free bounds and obtain exact bounds p-values. We illustrate our approach on four classes of jump-diffusion models we use to model spot prices of copper, nickel, gold, and crude oil. We find significant jumps in all weekly time series and in a few monthly time series.
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Paper provided by Université Laval - Département d'économique in its series Cahiers de recherche with number
0004.
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Date of creation: 2000Date of revision:
Handle: RePEc:lvl:laeccr:0004Contact details of provider: Postal: Pavillon J.A. De S�ve, Qu�bec, Qu�bec, G1K 7P4 Phone: (418) 656-5122 Fax: (418) 656-2707 Email: Web page: http://www.ecn.ulaval.ca More information through EDIRC
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Keywords: Monte-Carlo test ; bounds test ; discontinuous process ; conditional heteroscedasticity ; Other versions of this item:
Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
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