Modelling Different Volatility Components
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- He, Changli & Teräsvirta, Timo, 1999.
"FOURTH MOMENT STRUCTURE OF THE GARCH(p,q) PROCESS,"
Econometric Theory, Cambridge University Press, vol. 15(6), pages 824-846, December.
- He, Changli & Teräsvirta, Timo, 1997. "Fourth Moment Structure of the GARCH (p, q) Process," SSE/EFI Working Paper Series in Economics and Finance 168, Stockholm School of Economics.
- Beran, Jan, 1999. "SEMIFAR Models - A Semiparametric Framework for Modelling Trends, Long Range Dependence and Nonstationarity," CoFE Discussion Papers 99/16, University of Konstanz, Center of Finance and Econometrics (CoFE).
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Beran, Jan & Ocker, Dirk, 2001. "Volatility of Stock-Market Indexes--An Analysis Based on SEMIFAR Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 103-116, January.
- Feng, Yuanhua, 2004.
"Simultaneously Modeling Conditional Heteroskedasticity And Scale Change,"
Econometric Theory, Cambridge University Press, vol. 20(3), pages 563-596, June.
- Feng, Yuanhua, 2002. "Simultaneously Modelling Conditional Heteroskedasticity and Scale Change," CoFE Discussion Papers 02/12, University of Konstanz, Center of Finance and Econometrics (CoFE).
- 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.
- Mercurio, Danilo & Spokoiny, Vladimir G., 2002. "Statistical inference for time-inhomogeneous volatility models," SFB 373 Discussion Papers 2002,61, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Gençay, Ramazan & Dacorogna, Michel & Muller, Ulrich A. & Pictet, Olivier & Olsen, Richard, 2001. "An Introduction to High-Frequency Finance," Elsevier Monographs, Elsevier, edition 1, number 9780122796715.
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- Ling, Shiqing & McAleer, Michael, 2002.
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Keywords
High-frequency financial data; nonparametric regression; seasonality in volatility; semiparametric GARCH model; trend in volatility;All these keywords.
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