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2010, vol. 3, núm. 1 >

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Citació: Kumar, Manish. Improving the accuracy: volatility modeling and forecasting using high-frequency data and the variational component. "Journal of Industrial Engineering and Management", Juny 2010, vol. 3, núm. 1, p. 199-220.
Títol: Improving the accuracy: volatility modeling and forecasting using high-frequency data and the variational component
Autor: Kumar, Manish
Editorial: School of Industrial and Aeronautic Engineering of Terrassa (ETSEIAT). Universitat Politècnica de Catalunya (UPC)
Tipus de document: Article
Resum: In this study, we predict the daily volatility of the S&P CNX NIFTY market index of India using the basic ‘heterogeneous autoregressive’ (HAR) and its variant. In doing so, we estimated several HAR and Log form of HAR models using different regressor. The different regressors were obtained by extracting the jump and continuous component and the threshold jump and continuous component from the realized volatility. We also tried to investigate whether dividing volatility into simple and threshold jumps and continuous variation yields a substantial improvement in volatility forecasting or not. The results provide the evidence that inclusion of realized bipower variance in the HAR models helps in predicting future volatility.
ISSN: 2013-0953
Dipòsit legal: B-28744-2008
URI: http://hdl.handle.net/2099/9220
Apareix a les col·leccions:2010, vol. 3, núm. 1
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