Showing 1 - 10 of 671
This paper generalises Boswijk and Zu (2018)'s adaptive unit root test for time series with nonstationary volatility to … resulting likelihood ratio test statistic. We find that under suitable conditions, adaptation with respect to the volatility … process is possible, in the sense that nonparametric volatility matrix estimation does not lead to a loss of asymptotic local …
Persistent link: https://www.econbiz.de/10012026102
When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on … parametric analog at high frequency for it, allowing simultaneously for microstructure effects, jumps, missing observations and … stochastic volatility. Estimation of the model delivers measures of daily variation outperforming their non …
Persistent link: https://www.econbiz.de/10011374428
mutual information is estimated using the correlation integral from chaos theory. The signi[tanceof the test statistics is …
Persistent link: https://www.econbiz.de/10011317443
-varying volatility. In this paper we consider estimation and hypothesis testing on the coefficients of the co-integrating relations and … model for volatility, or to assume that the pattern of volatility is common to, or independent across, the vector of series …
Persistent link: https://www.econbiz.de/10010225789
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...
Persistent link: https://www.econbiz.de/10011520881
This paper investigates the merits of high-frequency intraday data when forming minimum variance portfolios and minimum tracking error portfolios with daily rebalancing from the individual constituents of the S&P 100 index. We focus on the issue of determining the optimal sampling frequency,...
Persistent link: https://www.econbiz.de/10011346450
Often socio-economic variables are measured on a discrete scale or rounded to protect confidentiality. Nevertheless, when exploring the effect of a relevant covariate on the whole outcome distribution of a discrete response variable, virtually all common quantile regression methods require the...
Persistent link: https://www.econbiz.de/10011382707
A novel simulation-based methodology is proposed to test the validity of a set of marginal time series models, where the dependence structure between the time series is taken "directly" from the observed data. The procedure is useful when one wants to summarize the test results for several time...
Persistent link: https://www.econbiz.de/10010250513
We propose two robust bootstrap-based simultaneous inference methods for time series models featuring time-varying coefficients and conduct an extensive simulation study to assess their performance. Our exploration covers a wide range of scenarios, encompassing serially correlated,...
Persistent link: https://www.econbiz.de/10014335549