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robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility … run volatility function. Our estimation is based on a two-step LAD procedure. We establish the relevant asymptotic theory …We investigate a model in which we connect slowly time varying unconditional long-run volatility with short …
Persistent link: https://www.econbiz.de/10009719116
A two-step estimation method of stochastic volatility models is proposed. In the first step, we nonparametrically … estimate the (unobserved) instantaneous volatility process. In the second step, standard estimation methods for fully observed … estimation strategy is applicable to both parametric and nonparametric stochastic volatility models, and can handle both jumps …
Persistent link: https://www.econbiz.de/10010487528
This paper applies a novel bootstrap method, the kernel block bootstrap, to quasi-maximum likelihood estimation of … model illustrates the efficacy of the kernel block bootstrap for quasi-maximum likelihood estimation. …
Persistent link: https://www.econbiz.de/10012115888
when estimating error quantiles. In order to prevent this efficiency loss in quantile estimation, we propose a quantile …. At the same time, the efficiency gain in error quantile estimation hinges on the efficiency of estimators of the variance … parameters. We show that the same conclusion applies to the estimation of conditional Expected Shortfall. Our comparison also …
Persistent link: https://www.econbiz.de/10009620388
We propose a solution to the measurement error problem that plagues the estimation of the relation between the expected …
Persistent link: https://www.econbiz.de/10012128650
We introduce econometric methods to perform estimation and inference on the permanent and transitory components of the …
Persistent link: https://www.econbiz.de/10010532537
The so-called leverage hypothesis is that negative shocks to prices/ returns affect volatility more than equal positive … a general parametric or semiparametric model to conditional volatility and then testing the implied restrictions on … parameters or curves. We propose an alternative way of testing this hypothesis using realised volatility as an alternative direct …
Persistent link: https://www.econbiz.de/10009759803
This article introduces and investigates the properties of a new bootstrap method for time-series data, the kernel block bootstrap. The bootstrap method, although akin to, offers an improvement over the tapered block bootstrap of Paparoditis and Politis (2001), admitting kernels with unbounded...
Persistent link: https://www.econbiz.de/10011878210
provide a comprehensive treatment of its use for GMM estimation and inference in time-series models formulated in terms of …
Persistent link: https://www.econbiz.de/10014520806
In this paper, we propose a general method for testing inequality restrictions on nonparametric functions. Our framework includes many nonparametric testing problems in a uni ed framework, with a number of possible applications in auction models, game theoretic models, wage inequality, and...
Persistent link: https://www.econbiz.de/10010254852