Forecasting Market Crashes: Does Density Specification Matter?
The current research examines the capacity of the Edgeworth-Sargan density on forecasting market crashes. Focusing on the 1987 stock market crash the performance of this distribution is compared to the Student’s t concluding that the latter overestimates the risk. In contrast, and due to its flexible parametric structure, the Edgeworth-Sargan density is capable of more accurately forecasting the risk of highly volatile scenarios, especially when intraday data is available. We use daily data from the FTSE and Dow Jones indices (continuously compounded returns).
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Volume (Year): 8 (2008)
Issue (Month): 1 ()
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- Tim Bollerslev, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
EERI Research Paper Series
EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
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- Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August.
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