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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
&P 500 index confirms the simulation results. -- covariance estimation ; blocking ; realized kernel ; regularization …
Persistent link: https://www.econbiz.de/10003893144
&P 500 index confirms the simulation results. -- Covariance Estimation ; Blocking ; Realized Kernel ; Regularization …
Persistent link: https://www.econbiz.de/10003909174
We introduce a blocking and regularization approach to estimate high-dimensional covariances using high frequency data. Assets are first grouped according to liquidity. Using the multivariate realized kernel estimator of Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a), the covariance...
Persistent link: https://www.econbiz.de/10013150590
estimation of the covariances if traditional methods for low-frequency data are employed. We propose to model intraday log … microstructure noise is taken into account, (iii) estimation is performed by standard maximum likelihood. Our empirical analysis …
Persistent link: https://www.econbiz.de/10012854692
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence … of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component …-step procedure with detection and estimation. In Step 1, we detect the jump locations by performing wavelet transformation on the …
Persistent link: https://www.econbiz.de/10011568279
This paper introduces a unified multivariate overnight GARCH-Ito model for volatility matrix estimation and prediction … weighted least squares estimation procedure for estimating model parameters with open-to-close high-frequency and close … the proposed estimation and prediction methods.The empirical analysis is carried out to compare the performance of the …
Persistent link: https://www.econbiz.de/10013290653
We construct a parsimonious test of constancy of the correlation matrix in the multivariate conditional correlation GARCH model, where the GARCH equations are time-varying. The alternative to constancy is that the correlations change deterministically as a function of time. The alternative is a...
Persistent link: https://www.econbiz.de/10013459316
We implement multivariate, self-exciting Peaks-over-Threshold (POT) methods to measure extremal losses in high-frequency return series of cryptocurrencies. For that purpose, we implement trivariate Hawkes-POT and the autoregressive conditional intensity ACI-POT models for Bitcoin, Ethereum, and...
Persistent link: https://www.econbiz.de/10014254807
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 asset prices are generally affected by noise...
Persistent link: https://www.econbiz.de/10013084255