Showing 1 - 10 of 103
This paper introduces a parsimonious and yet flexible semiparametric model to forecast financial volatility. The new …
Persistent link: https://www.econbiz.de/10012863889
The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model …
Persistent link: https://www.econbiz.de/10013309000
This paper contributes to an ongoing debate on volatility dynamics. We introduce a discrete-time fractional stochastic … volatility (FSV) model based on the fractional Gaussian noise. The new model has the same limit as the fractional integrated … stochastic volatility (FISV) model under the in-fill asymptotic scheme. We study the theoretical properties of both models and …
Persistent link: https://www.econbiz.de/10013251601
Right-tailed unit root tests have proved promising for detecting exuberance in economic and financial activities. Like left-tailed tests, the limit theory and test performance are sensitive to the null hypothesis and the model specification used in parameter estimation. This paper aims to...
Persistent link: https://www.econbiz.de/10009144391
Econometric analysis of continuous time models has drawn the attention of Peter Phillips for nearly 40 years, resulting in many important publications by him. In these publications he has dealt with a wide range of continuous time models and econometric problems, from univariate equations to...
Persistent link: https://www.econbiz.de/10009363781
A recursive test procedure is suggested that provides a mechanism for testing explosive behavior, date-stamping the origination and collapse of economic exuberance, and providing valid conOdence intervals for explosive growth rates. The method involves the recursive im- plementation of a...
Persistent link: https://www.econbiz.de/10009363816
This paper overviews maximum likelihood and Gaussian methods of estimating continuous time models used in finance. Since the exact likelihood can be constructed only in special cases, much attention has been devoted to the development of methods designed to approximate the likelihood. These...
Persistent link: https://www.econbiz.de/10009365186
It is well known that for continuous time models with a linear drift standard estimation methods yield biased estimators for the mean reversion parameter both in Onite dis- crete samples and in large in-Oll samples. In this paper, we obtain two expressions to approximate the bias of the least...
Persistent link: https://www.econbiz.de/10009365357
In this paper a Markov chain Monte Carlo (MCMC) technique is developed for the Bayesian analysis of structural credit risk models with microstructure noises. The technique is based on the general Bayesian approach with posterior computations performed by Gibbs sampling. Simulations from the...
Persistent link: https://www.econbiz.de/10009365444
observations. In the first stage we make use of the feasible central limit theory for realized volatility, as developed in Jacod …
Persistent link: https://www.econbiz.de/10009365479