On the modelling and forecasting multivariate realized volatility: Generalized Heterogeneous Autoregressive (GHAR) model
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- František Čech & Jozef Baruník, 2017. "On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 181-206, March.
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- Xin Jin & John M. Maheu & Qiao Yang, 2019.
"Bayesian parametric and semiparametric factor models for large realized covariance matrices,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 641-660, August.
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- Xin Jin & John M. Maheu & Qiao Yang, 2018. "Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices," Working Paper series 18-02, Rimini Centre for Economic Analysis.
- Luo, Jiawen & Chen, Langnan, 2020. "Realized volatility forecast with the Bayesian random compressed multivariate HAR model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 781-799.
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- Symitsi, Efthymia & Symeonidis, Lazaros & Kourtis, Apostolos & Markellos, Raphael, 2018. "Covariance forecasting in equity markets," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 153-168.
More about this item
KeywordsGHAR; portfolio optimisation; economic evaluation;
All these keywords.
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ECM-2014-12-03 (Econometrics)
- NEP-ETS-2014-12-03 (Econometric Time Series)
- NEP-FOR-2014-12-03 (Forecasting)
- NEP-ORE-2014-12-03 (Operations Research)
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