A multivariate HAR-RV model with heteroscedastic errors and its WLS estimation
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DOI: 10.1016/j.econlet.2021.109855
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- Nicholas Taylor, 2015. "Realized volatility forecasting in an international context," Applied Economics Letters, Taylor & Francis Journals, vol. 22(6), pages 503-509, April.
- Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011.
"Volatility transmission in emerging European foreign exchange markets,"
Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
- Vít Bubák & Evžen Kocenda & Filip Zikes, 2010. "Volatility Transmission in Emerging European Foreign Exchange Markets," CESifo Working Paper Series 3063, CESifo.
- Evzen Kocenda & Vit Bubak & Filip Zikes, 2011. "Volatility Transmission in Emerging European Foreign Exchange Markets," William Davidson Institute Working Papers Series wp1020, William Davidson Institute at the University of Michigan.
- Basrak, Bojan & Davis, Richard A. & Mikosch, Thomas, 2002. "Regular variation of GARCH processes," Stochastic Processes and their Applications, Elsevier, vol. 99(1), pages 95-115, May.
- Fulvio Corsi & Stefan Mittnik & Christian Pigorsch & Uta Pigorsch, 2008.
"The Volatility of Realized Volatility,"
Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 46-78.
- Corsi, Fulvio & Kretschmer, Uta & Mittnik, Stefan & Pigorsch, Christian, 2005. "The volatility of realized volatility," CFS Working Paper Series 2005/33, Center for Financial Studies (CFS).
- Cipollini, Fabrizio & Gallo, Giampiero M. & Otranto, Edoardo, 2021.
"Realized volatility forecasting: Robustness to measurement errors,"
International Journal of Forecasting, Elsevier, vol. 37(1), pages 44-57.
- Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Linton, Oliver & Xiao, Zhijie, 2019.
"Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 213(2), pages 608-631.
- Linton, O. & Xiao, Z., 2019. "Efficient Estimation of Nonparametric Regression in The Presence of Dynamic Heteroskedasticity," Cambridge Working Papers in Economics 1907, Faculty of Economics, University of Cambridge.
- Zhang, Erhua & Wu, Jilin, 2020. "Adaptive estimation of AR∞ models with time-varying variances," Economics Letters, Elsevier, vol. 197(C).
- Zhang, Rong-Mao & Sin, Chor-yiu (CY) & Ling, Shiqing, 2015. "On functional limits of short- and long-memory linear processes with GARCH(1,1) noises," Stochastic Processes and their Applications, Elsevier, vol. 125(2), pages 482-512.
- Zhang, Rongmao & Ling, Shiqing, 2015. "Asymptotic Inference For Ar Models With Heavy-Tailed G-Garch Noises," Econometric Theory, Cambridge University Press, vol. 31(4), pages 880-890, August.
- Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
- 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.
- Jozef Baruník & Frantisek Cech, 2014. "On the modelling and forecasting multivariate realized volatility: Generalized Heterogeneous Autoregressive (GHAR) model," Working Papers IES 2014/23, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2014.
- Chan, Ngai Hang & Zhang, Rong-Mao, 2013. "Limit theory of quadratic forms of long-memory linear processes with heavy-tailed GARCH innovations," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 18-33.
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Cited by:
- Hwang, Eunju, 2022. "Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
- Hwang, Eunju & Jeon, ChanHyeok, 2024. "Nonnegative GARCH-type models with conditional Gamma distributions and their applications," Computational Statistics & Data Analysis, Elsevier, vol. 198(C).
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- David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," Documentos de Trabajo del ICAE 2014-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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Keywords
Multivariate HAR-RV model; GARCH(1; 1) model; Weighted least squares estimation; Asymptotic normality;All these keywords.
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