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Hierarchical forecasting based on AR-GARCH model in a coherent structure

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  • Sohn, So Young
  • Lim, Michael

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  • Sohn, So Young & Lim, Michael, 2007. "Hierarchical forecasting based on AR-GARCH model in a coherent structure," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1033-1040, January.
    • Handle: RePEc:eee:ejores:v:176:y:2007:i:2:p:1033-1040
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    References listed on IDEAS

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    1. Brooks, Robert D. & Faff, Robert W. & Fry, Tim R. L., 2001. "GARCH modelling of individual stock data: the impact of censoring, firm size and trading volume," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 215-222, June.
    2. Brooks, Chris & Burke, Simon P., 1998. "Forecasting exchange rate volatility using conditional variance models selected by information criteria," Economics Letters, Elsevier, vol. 61(3), pages 273-278, December.
    3. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Pennings, Clint L.P. & van Dalen, Jan, 2017. "Integrated hierarchical forecasting," European Journal of Operational Research, Elsevier, vol. 263(2), pages 412-418.
    2. AlShelahi, Abdullah & Wang, Jingxing & You, Mingdi & Byon, Eunshin & Saigal, Romesh, 2020. "Data-driven prediction for volatile processes based on real option theories," International Journal of Production Economics, Elsevier, vol. 226(C).
    3. Leandro Maciel & Fernando Gomide & Rosangela Ballini, 2016. "Evolving Fuzzy-GARCH Approach for Financial Volatility Modeling and Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 379-398, October.

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