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We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for … problems. Second, we apply nonlinear-nonstationary parametric and non-parametric estimation techniques to estimate the pairwise …
Persistent link: https://www.econbiz.de/10011447524
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence … of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component …-step procedure with detection and estimation. In Step 1, we detect the jump locations by performing wavelet transformation on the …
Persistent link: https://www.econbiz.de/10011568279
We provide a new framework for modeling trends and periodic patterns in high-frequency financial data. Seeking adaptivity to ever-changing market conditions, we enlarge the Fourier flexible form into a richer functional class: both our smooth trend and the seasonality are non-parametrically...
Persistent link: https://www.econbiz.de/10013007161
Persistent link: https://www.econbiz.de/10010255469
This note presents a nonparametric Bayesian approach to fitting a distribution to the survey data provided in Kilian and Zha (2002) regarding the prior for the half-life of deviations from purchasing power parity (PPP). A point mass at infinity is included. The unknown density is represented as...
Persistent link: https://www.econbiz.de/10011403123
Persistent link: https://www.econbiz.de/10001751669
We introduce a simple nonparametric approach to compute impulse response functions. We first search for clusters of recurrent patterns of observations resembling two sets of given initial conditions, one of which contains the impact effect of the structural shock of interest. Then, to trace out...
Persistent link: https://www.econbiz.de/10013216683
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011524214
of asymptotic theory and the estimation of standard errors. The proposed robust confidence interval estimators permit a …
Persistent link: https://www.econbiz.de/10015095127
The estimation and the analysis of long memory parameters have mainly focused on the analysis of long-range dependence … memory requires major revisions in the standard estimation procedures without which the estimated results can be seriously …
Persistent link: https://www.econbiz.de/10012920334