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Building multivariate time-varying smooth transition correlation GARCH models, with an application to the four largest Australian banks
Hall, Anthony; Silvennoinen, Annastiina; Teräsvirta, Timo - In: Econometrics : open access journal 11 (2023) 1, pp. 1-37
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 exposition of the systematic, improved modelling cycle required for such nonlinear …
Persistent link: https://www.econbiz.de/10014281494
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High frequency vs. daily resolution : the economic value of forecasting volatility models
Lilla, Francesca - 2016
Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many limitations. HF data feature microstructure problem,...
Persistent link: https://www.econbiz.de/10011730304
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Modelling volatility spillovers, cross-market correlation and co-movements between stock markets in European Union : an empirical case study
Trivedi, Jatin; Spulbăr, Cristi; Birau, Ramona; … - In: Business, mangagement and economics engineering : BMEE 19 (2021) 1, pp. 70-90
Purpose - This article examines volatility spillovers, cross-market correlation, and comovements between selected …
Persistent link: https://www.econbiz.de/10012695346
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High-dimensional Realized Covariance Estimation : a Parametric Approach
Buccheri, Giuseppe - 2020
The estimation of the covariances of high-frequency asset prices is problematic because of asynchronous trading and …
Persistent link: https://www.econbiz.de/10012841029
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Econometric Analysis of Multivariate Realised QML : Estimation of the Covariation of Equity Prices under Asynchronous Trading
Shephard, Neil - 2016
Estimating the covariance between assets using high frequency data is challenging due to market microstructure effects and asynchronous trading. In this paper we develop a multivariate realised quasi maximum likelihood (QML) approach, carrying out inference as if the observations arise from an...
Persistent link: https://www.econbiz.de/10013008145
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A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model
Kang, Jian; Jakobsen, Johan Stax; Silvennoinen, Annastiina - In: Econometrics : open access journal 10 (2022) 3, pp. 1-41
We construct a parsimonious test of constancy of the correlation matrix in the multivariate conditional correlation … deterministically as a function of time. The alternative is a covariance matrix, not a correlation matrix, so the test may be viewed as … a general test of stability of a constant correlation matrix. The size of the test in finite samples is studied by …
Persistent link: https://www.econbiz.de/10013459316
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The contribution of realized covariance models to the economic value of volatility timing
Bauwens, Luc; Xu, Yongdeng - 2023
allow these to differ from the correlation processes (namely, DCC-type models) are more beneficial than the models that …
Persistent link: https://www.econbiz.de/10014434629
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Realized Wishart-GARCH : a score-driven multi-Asset volatility model
Hansen, Peter Reinhard; Janus, Paweł; Koopman, Siem Jan - 2016
the variance matrix. Monte Carlo evidence for parameter estimation based on different small sample sizes is provided. We …
Persistent link: https://www.econbiz.de/10011520881
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DCC- and DECO-HEAVY : multivariate GARCH models based on realized variances and correlations
Bauwens, Luc; Xu, Yongdeng - In: International journal of forecasting 39 (2023) 2, pp. 938-955
Persistent link: https://www.econbiz.de/10014465168
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Fractional integration and fat tails for realized covariance kernels and returns
Lucas, André; Opschoor, Anne - 2016 - This version: September 1, 2016
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