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Moments of the ARMA--EGARCH model

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Author Info
M. Karanasos
J. Kim

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Abstract

This paper considers the moment structure of the general ARMA--EGARCH model. In particular, we derive the autocorrelation function of any positive integer power of the squared errors. In addition, we obtain the autocorrelations of the squares of the observed process and cross correlations between the levels and the squares of the observed process. Finally, the practical implications of the results are illustrated empirically using daily data on four East Asia Stock Indices. Copyright Royal Economic Society, 2003

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/1368-423X.00104
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Publisher Info
Article provided by Royal Economic Society in its journal The Econometrics Journal.

Volume (Year): 6 (2003)
Issue (Month): 1 (06)
Pages: 146-166
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Handle: RePEc:ect:emjrnl:v:6:y:2003:i:1:p:146-166

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Kim, Suk-Joong & Sheen, Jeffrey, 2000. "International linkages and macroeconomic news effects on interest rate volatility -- Australia and the US," Pacific-Basin Finance Journal, Elsevier, vol. 8(1), pages 85-113, March. [Downloadable!] (restricted)
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  2. Hagerud, Gustaf E., 1997. "Modeling Nordic Stock Returns with Asymmetric GARCH models," Working Paper Series in Economics and Finance 164, Stockholm School of Economics. [Downloadable!]
  3. Lobo, Bento J. & Tufte, David, 1998. "Exchange Rate Volatility: Does Politics Matter?," Journal of Macroeconomics, Elsevier, vol. 20(2), pages 351-365, April. [Downloadable!] (restricted)
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  5. Andersen, Torben G. & Lund, Jesper, 1997. "Estimating continuous-time stochastic volatility models of the short-term interest rate," Journal of Econometrics, Elsevier, vol. 77(2), pages 343-377, April. [Downloadable!] (restricted)
  6. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December. [Downloadable!] (restricted)
  7. Fountas, S. & Karanasos, M. & Karanassou, M., 2000. "GARCH Model of Inflation and Inflation Uncertainty with Simultaneous Feedback," Department of Economics 47, National University of Ireland, Galway - Department of Economics.
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  8. Allan D. Brunner & David P. Simon, 1995. "Excess returns and risk at the long end of the Treasury market: an EGARCH-M approach," International Finance Discussion Papers 522, Board of Governors of the Federal Reserve System (U.S.).
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  10. Lee, Jung-Hee & Brorsen, B Wade, 1997. "A Non-nested Test of GARCH vs. EGARCH Models," Applied Economics Letters, Taylor and Francis Journals, vol. 4(12), pages 765-68, December. [Downloadable!] (restricted)
  11. Kim, Dongcheol & Kon, Stanley J, 1994. "Alternative Models for the Conditional Heteroscedasticity of Stock Returns," Journal of Business, University of Chicago Press, vol. 67(4), pages 563-98, October. [Downloadable!] (restricted)
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  15. Menelaos Karanasos & J. Kim, . "Alternative GARCH in Mean Models: An Application to the Korean Stock Market," Discussion Papers 00/25, Department of Economics, University of York. [Downloadable!]
  16. Donaldson, R. Glen & Kamstra, Mark, 1997. "An artificial neural network-GARCH model for international stock return volatility," Journal of Empirical Finance, Elsevier, vol. 4(1), pages 17-46, January. [Downloadable!] (restricted)
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  19. Hu, Michael Y. & Jiang, Christine X. & Tsoukalas, Christos, 1997. "The European exchange rates before and after the establishment of the European Monetary System," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(3), pages 235-253, October. [Downloadable!] (restricted)
  20. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June. [Downloadable!] (restricted)
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  21. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 1(1), pages 41-66. [Downloadable!] (restricted)
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  22. Andersen, Torben G. & Chung, Hyung-Jin & Sorensen, Bent E., 1999. "Efficient method of moments estimation of a stochastic volatility model: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 91(1), pages 61-87, July. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Malmsten, Hans & Teräsvirta, Timo, 2004. "Stylized Facts of Financial Time Series and Three Popular Models of Volatility," Working Paper Series in Economics and Finance 563, Stockholm School of Economics, revised 03 Sep 2004. [Downloadable!]
  2. Liudas Giraitis & Remigijus Leipus & Peter M Robinson & Donatas Surgailis, 2003. "LARCH, Leverage and Long Memory," STICERD - Econometrics Paper Series /2003/460, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
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