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If the intensity parameter in a jump diffusion model is identically zero, then parameters characterizing the jump size density cannot be identified. In general, this lack of identification precludes consistent estimation of identified parameters. Hence, it should be standard practice to...
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associated with these extensions are outlined. -- block bootstrap ; density and conditional distribution ; forecast accuracy …
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, both under vanishing and non-vanishing parameter estimation error, with focus on the construction of valid bootstrap …
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This Chapter discusses estimation, specification testing, and model selection of predictive density models. In particular, predictive density estimation is briefly discussed. And a variety of different specifications and model evaluation tests due to various authors including Christoffersen and...
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This chapter discusses estimation, specification testing, and model selection of predictive density models. In particular, predictive density estimation is briefly discussed, and a variety of different specification and model evaluation tests due to various authors including Christoffersen and...
Persistent link: https://www.econbiz.de/10014052432
This chapter discusses estimation, specification testing, and model selection of predictive density models. In particular, predictive density estimation is briefly discussed, and a variety of different specification and model evaluation tests due to various authors including Christoffersen and...
Persistent link: https://www.econbiz.de/10014062171
function. Our objectives in this paper are twofold. First, we introduce block bootstrap techniques that are (first order) valid … operational using our new bootstrap procedures. One of the applications outlines a consistent test for out-of-sample nonlinear … both of these examples, it is shown that appropriate re-centering of the bootstrap score is required in order to ensure …
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