Showing 1 - 10 of 19,292
-based estimation procedures for the parametric and nonparametric components, and derive the asymptotic properties thereof. For the …
Persistent link: https://www.econbiz.de/10013148178
When estimating integrated volatilities based on high-frequency data, simplifying assumptions are usually imposed on the relationship between the observation times and the price process. In this paper, we establish a central limit theorem for the Realized Volatility in a general endogenous time...
Persistent link: https://www.econbiz.de/10013095254
This work develops change-point methods for statistics of high-frequency data. The main interest is the volatility of an Itô semi-martingale, which is discretely observed over a fixed time horizon. We construct a minimax-optimal test to discriminate different smoothness classes of the...
Persistent link: https://www.econbiz.de/10010477582
with in-fill asymptotic arguments for uniquely identifying the \large" jumps from the data. The estimation allows for very … variation in the stochastic volatility. On implementing the new estimation procedure with actual high-frequency data for the S …
Persistent link: https://www.econbiz.de/10013133664
with in-fill asymptotic arguments for uniquely identifying the "large" jumps from the data. The estimation allows for very … variation in the stochastic volatility. On implementing the new estimation procedure with actual high-frequency data for the S …
Persistent link: https://www.econbiz.de/10013144212
Understanding the jump dynamics of market prices is important for asset pricing and risk management. Despite their analytical tractability, parametric models may impose unrealistic restrictions on the temporal dependence structure of jumps. In this paper, we introduce a nonparametric inference...
Persistent link: https://www.econbiz.de/10012824843
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...
Persistent link: https://www.econbiz.de/10014052487
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...
Persistent link: https://www.econbiz.de/10009130720
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...
Persistent link: https://www.econbiz.de/10003698497
We propose a semiparametric multivariate estimator and a multivariate score-type testing procedure under a perturbed multivariate fractional process. The estimator is based on the periodogram and uses a local Whittle criterion function which is generalised by an additional constant to capture...
Persistent link: https://www.econbiz.de/10014247836