Showing 1 - 10 of 106
extant literature, the both methods give the U-shaped news impact curves comparable to the GARCH models. They also capture …
Persistent link: https://www.econbiz.de/10010665672
Using GARCH models for density prediction of stock index returns, a comparison is provided between frequentist and …
Persistent link: https://www.econbiz.de/10010594118
A Lagrangian multiplier test is proposed for testing market microstructure noise (MMN) in financial asset prices. The test is very simple and is asymptotically chi-squared with 1-degree of freedom. The test is applied to sampling interval determination for realized volatilities (RVs) which...
Persistent link: https://www.econbiz.de/10011263403
A CUSUM test is proposed for testing structural breaks in a long-memory heterogeneous autoregressive model. The limiting distribution of the CUSUM test is shown to be a simple function of a standard Brownian bridge, contrasting with the nuisance parameter dependent asymptotics of other CUSUM...
Persistent link: https://www.econbiz.de/10010729455
This article tests the linearity assumption underlying the popular heterogeneous autoregressive model for realized volatility (HAR-RV). We implement a consistent model specification test that is robust to both distributional and model misspecification. We find that, using a nonparametric HAR-RV...
Persistent link: https://www.econbiz.de/10010939493
In this paper, we study the functional central limit theorem for ARMA–GARCH processes. We prove that, under the finite … second moment assumption, the stationary ARMA–GARCH process is geometricallyL2-NED and that the functional central limit …
Persistent link: https://www.econbiz.de/10010729477
We show that the (Baillie and Chung, 2001) minimum distance estimates of the GARCH (1,1) model induce spurious …
Persistent link: https://www.econbiz.de/10011041785
The expected value of the log of a Bayesian’s posterior assessment of the true state of nature, computed under the probability law of the true state, is always at least as large as the log of the prior.
Persistent link: https://www.econbiz.de/10011116198
We propose to model endogeneity bias using prior distributions of moment conditions. The estimator can be obtained both as a method-of-moments estimator and in a Ridge penalized regression framework. We show the estimator’s relation to a Bayesian estimator.
Persistent link: https://www.econbiz.de/10010729448
In this paper we propose new estimation techniques in connection with regression models whose errors have distributions which are members of the celebrated Pearson’s system. Efficient MCMC procedures are proposed in the context of likelihood—based inference. The new techniques are applied to...
Persistent link: https://www.econbiz.de/10011041585