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estimator, and the wavelet estimator, when a typical sample of high-frequency data is observed. We employ several different … volatility process. However, bid-ask bounce effects render realized volatility and especially the wavelet estimator less useful …
Persistent link: https://www.econbiz.de/10010290394
differencing parameter, d. This involves frequency domain, time domain, and wavelet based approaches and we consider both …-periodogram regression estimators are shown to be more robust to short-run dynamics than other semiparametric (frequency domain and wavelet … wavelet based estimators are heavily biased. …
Persistent link: https://www.econbiz.de/10010290342
differencing parameter, d. This involves frequency domain, time domain, and wavelet based approaches and we consider both …-periodogram regression estimators are shown to be more robust to short-run dynamics than other semiparametric (frequency domain and wavelet … wavelet based estimators are heavily biased. …
Persistent link: https://www.econbiz.de/10005688402
-step procedure with detection and estimation. In Step 1, we detect the jump locations by performing wavelet transformation on the … observed noisy price processes. Since wavelet coefficients are significantly larger at the jump locations than the others, we … calibrate the wavelet coefficients through a threshold and declare jump points if the absolute wavelet coefficients exceed the …
Persistent link: https://www.econbiz.de/10011568279
We propose two new jump-robust estimators of integrated variance based on highfrequency return observations. These MinRV and MedRV estimators provide an attractive alternative to the prevailing bipower and multipower variation measures. Specifically, the MedRV estimator has better theoretical...
Persistent link: https://www.econbiz.de/10010283530
estimation and an upper-and-lower scale trimming strategy for the wavelet domain estimation from a practical stand-point. The …
Persistent link: https://www.econbiz.de/10009492765
The main contribution of this paper is to propose a bootstrap method for inference on integrated volatility based on the pre-averaging approach of Jacod et al. (2009), where the pre-averaging is done over all possible overlapping blocks of consecutive observations. The overlapping nature of the...
Persistent link: https://www.econbiz.de/10010851203
The main contribution of this paper is to propose a new bootstrap method for statistics based on high frequency returns. The new method exploits the local Gaussianity and the local constancy of volatility of high frequency returns, two assumptions that can simplify inference in the high...
Persistent link: https://www.econbiz.de/10010851268
The main contribution of this paper is to establish the formal validity of Edgeworth expansions for realized volatility estimators. First, in the context of no microstructure effects, our results rigorously justify the Edgeworth expansions for realized volatility derived in Gonalves and Meddahi...
Persistent link: https://www.econbiz.de/10011274511
We propose two new jump-robust estimators of integrated variance based on highfrequency return observations. These MinRV and MedRV estimators provide an attractive alternative to the prevailing bipower and multipower variation measures. Specifically, the MedRV estimator has better theoretical...
Persistent link: https://www.econbiz.de/10008472103