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Original Articles

Self-weighted recursive estimation of GARCH models

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Pages 315-328 | Received 14 Sep 2014, Accepted 24 Feb 2015, Published online: 18 Dec 2017

References

  • Aknouche, A., Guerbyenne, H. (2006). Recursive estimation of GARCH models. Communications in Statistics - Simulation and Computation 35:925–938.
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 31:307–327.
  • Bose, A., Mukherjee, K. (2003). Estimating the ARCH parameters by solving linear equations. Journal of Time Series Analysis 24:127–136.
  • EViews, (2013). EViews 8 User’s Guide. Irvine, CA: IHS Global Inc.
  • Fan, J., Yao, Q. (2005). Nonlinear Time Series Nonparametric and Parametric Methods. New York: Springer.
  • Franke, J., Härdle, W. K., Hafner, C. M. (2011). Statistics of Financial Markets: An Introduction. Berlin: Springer.
  • Gerencsér, L., Orlovits, Z. (2012). Real time estimation of stochastic volatility process. Annals of Operations Research 200:223–246.
  • Gerencsér, L., Orlovits, Z., Torma, B. (2010). Recursive estimation of GARCH processes. In: Proceedings of the 19th International Symposium on Mathematical Theory and Systems - MTNS. Budapest, Hungary Eötvös Loránd University., pp. 2415–2422.
  • Hendrych, R. (2014). Recursive estimators of GARCH models: Selected problems. In: Proceedings of the 32nd International Conference Mathematical Methods in Economics, Olomouc: Palacký University, pp. 281–286.
  • Kierkegaard, J., Nielsen, J., Jensen, L., Madsen, H. (2000). Estimating GARCH models using recursive methods. Available at: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.40.703.
  • Ljung, L. (1999). System Identification: Theory for the User. Upper Saddle River: Prentice Hall PTR.
  • Ljung, L., Söderström, T. (1983). Theory and Practice of Recursive Identification. Cambridge, MA: MIT Press.
  • Orlovits, Z. (2011). Statistical Analysis of Stochastic Volatility Models. Ph.D. dissertation, Budapest: University of Technology and Economics, Mathematical Institute.
  • Söderström, T., Stoica, P. (1989). System Identification. New York: Prentice Hall.
  • Trapletti, A., Hornik, K. (2013), tseries: Time Series Analysis and Computational Finance [Computer software manual]. Available at: http://CRAN.R-project.org/package=tseries (R Package version 0.10-32).
  • Tsay, R. S. (2013). Analysis of Financial Time Series. Hoboken, NJ: Wiley.

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