Showing 51 - 60 of 118,985
We consider a nonparametric Bayesian approach to estimate the diffusion coefficient of a stochastic differential equation given discrete time observations over a fixed time interval. As a prior on the diffusion coefficient, we employ a histogram-type prior with piecewise constant realisations on...
Persistent link: https://www.econbiz.de/10014117474
We propose a jump robust positive semidefinite rank-based estimator for the daily covariance matrix based on high-frequency intraday returns. It disentangles covariance estimation into variance and correlation components. This allows to estimate correlations over lower sampling frequencies, to...
Persistent link: https://www.econbiz.de/10013115577
volatility and realized R-Squared. Because the residual process is latent in the high frequency regression, the estimation of … idiosyncratic volatility is notoriously difficult and complex, especially in the presence of jumps, microstructure noise and … features of the idiosyncratic volatility estimate and the realized R-Squared estimate …
Persistent link: https://www.econbiz.de/10014355250
High-frequency financial data allow us to estimate large volatility matrices with relatively short time horizon. Many … novel statistical methods have been introduced to address large volatility matrix estimation problems from a high … Huber loss function with a diverging threshold to develop a robust realized volatility estimation. We show that it has the …
Persistent link: https://www.econbiz.de/10012941604
Several novel statistical methods have been developed to estimate large integrated volatility matrices based on high …-tailed distributions, we develop an adaptive robust integrated volatility estimator that employs pre-averaging and truncation schemes based … on jump-diffusion processes. We call this an adaptive robust pre-averaging realized volatility (ARP) estimator. We show …
Persistent link: https://www.econbiz.de/10013236780
The identification of asymmetric conditional heteroscedasticity is often based on sample cross-correlations between past and squared observations. In this paper we analyse the effects of outliers on these cross-correlations and, consequently, on the identification of asymmetric volatilities.We...
Persistent link: https://www.econbiz.de/10011458810
This paper proposes an ex post volatility estimator, called mixed interval realized variance (MIRV), that uses high … theoretical properties of the new volatility estimator are illustrated and compared with those of the two currently dominant … realized measures: realized volatility and realized range. A simulation study adds to this comparison and highlights some …
Persistent link: https://www.econbiz.de/10012971871
We introduce a class of nonparametric spot volatility estimators based on delta sequences and conceived to include many …
Persistent link: https://www.econbiz.de/10013116947
unstable volatility functions. Breaks in the structure of the conditional mean and/or the volatility functions are common in … where the volatility function has a break and it may even report negative values for finite samples. The estimator presented … and the boundary estimation, it estimates the breaks consistently and it ensures that the volatility estimates are always …
Persistent link: https://www.econbiz.de/10013155274
high-frequency data better and produce more accurate forecasts than competing realized volatility and option …
Persistent link: https://www.econbiz.de/10012855793