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This paper proposes a methodology for building Multivariate Time-Varying STCC-GARCH models. The novel contributions in this area are the specification tests related to the correlation component, the extension of the general model to allow for additional correlation regimes, and a detailed...
Persistent link: https://www.econbiz.de/10014281494
Persistent link: https://www.econbiz.de/10011299266
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011823308
volatility estimation in terms of volatility jumps being examined and modeled for the international equity market, using such a … properties of jumps. These volatility-estimation and jump properties are also evident in jump modeling based on statistical and …Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six …
Persistent link: https://www.econbiz.de/10013029279
outperforms the other models in model estimation and daily out-of-sample volatility forecasting of the two indices. This study is … for forecasting the volatility of both the TASI and the TIPISI in the context of petrochemical industries, as this model …
Persistent link: https://www.econbiz.de/10011960525
Availability of high frequency data has improved the capability of computing volatility in an efficient way …. Nevertheless, measuring volatility/covariance from the observation of the asset price is challenging for two main reasons: observed … multivariate volatility, with particular focus on using high frequency data. Exploiting the fact that the method allows to compute …
Persistent link: https://www.econbiz.de/10013084255
subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of … the observed time series. We develop a simulated maximum likelihood estimation method based on importance sampling and … increased during the 2008 financial crisis while it has recently returned to its pre-crisis level. The extracted volatility …
Persistent link: https://www.econbiz.de/10012924242
market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …
Persistent link: https://www.econbiz.de/10014382180
, and the Deutschmark-US dollar. The estimation results for both models show: (i) that the unrestricted model outperforms …
Persistent link: https://www.econbiz.de/10009579181
A two-step estimation method of stochastic volatility models is proposed. In the first step, we nonparametrically … estimate the (unobserved) instantaneous volatility process. In the second step, standard estimation methods for fully observed … estimation strategy is applicable to both parametric and nonparametric stochastic volatility models, and can handle both jumps …
Persistent link: https://www.econbiz.de/10010487528