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Modeling the volatility of the US SαP 500 index using an LSTGARCH model

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Listed:
  • Gilles Dufrénot
  • Velayoudom Marimoutou
  • Anne Péguin-Feissolle

Abstract

This paper uses the logistic smooth transition GARCH model to study the time-varying volatility of the USS?P 500 index. In the LSTGARCH specification, the parameters are function of some information variables that help capturing the conditional return volatility. Tests of standard GARCH models are provided. Forecast comparisons with the GJR model are proposed, showing an overwhelming predominance of the LSTGARCH model.

Suggested Citation

  • Gilles Dufrénot & Velayoudom Marimoutou & Anne Péguin-Feissolle, 2004. "Modeling the volatility of the US SαP 500 index using an LSTGARCH model," Revue d'économie politique, Dalloz, vol. 114(4), pages 453-465.
    • Handle: RePEc:cai:repdal:redp_144_0453
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    References listed on IDEAS

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    1. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    2. Peguin-Feissolle, Anne, 1999. "A comparison of the power of some tests for conditional heteroscedasticity," Economics Letters, Elsevier, vol. 63(1), pages 5-17, April.
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