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Asymmetric GARCH and the financial crisis: a preliminary study

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  • Výrost, Tomáš
  • Baumöhl, Eduard

Abstract

The paper deals with estimation of both general GARCH as well as asymmetric EGARCH and TGARCH models, used to model the leverage effect of good news and bad news on market volatility. We estimate the models using daily returns of S&P 500 stock index and describe the news impact curves (NICs) for these models. When estimating the crisis series, we show the possibility of using a news impact surface to describe the results from models of higher orders.

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File URL: http://mpra.ub.uni-muenchen.de/27939/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 27939.

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Date of creation: 03 Nov 2009
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Handle: RePEc:pra:mprapa:27939

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Keywords: volatility modeling; financial crisis; asymmetric GARCH class models; news impact curve;

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  1. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, American Finance Association, vol. 48(5), pages 1749-78, December.
  2. 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, Elsevier, vol. 1(1), pages 83-106, June.
  3. Dima Alberg & Haim Shalit & Rami Yosef, 2008. "Estimating stock market volatility using asymmetric GARCH models," Applied Financial Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 18(15), pages 1201-1208.
  4. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, Econometric Society, vol. 50(4), pages 987-1007, July.
  5. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 18(5), pages 931-955, September.
  6. Sébastien Laurent, 2004. "Analytical Derivates of the APARCH Model," Computational Economics, Society for Computational Economics, Society for Computational Economics, vol. 24(1), pages 51-57, 08.
  7. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  8. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, Econometric Society, vol. 59(2), pages 347-70, March.
  9. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc.
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