Are combination forecasts of S&P 500 volatility statistically superior?



Gourieroux C. and Jasiak J. (2001). Financial Econometrics. Princeton Uni-
versity Press: Princeton.

Hansen, P.R., Lunde, A. and Nason, J.M. (2003) “Choosing the best volatility
models: the model confidence set appraoch”,
Oxford Bulletin of Economics
and Statistics,
65, 839-861.

Hansen, P.R., Lunde, A. and Nason, J.M. (2005) “Model confidence sets for
forecasting models appraoch”,
Working Paper 2005-7, Brown University.

JorionP. (1995). “Predicting volatility in the foreign exchange market.”, Jour-
nal of Finance,
50, 507-528.

Koopman, S.J., Jungbacker, B,.Hol, E., 2005. Forecasting daily variability
of the SfcP 100 stock index using historical, realised and implied volatility
measurements. Journal of Empirical Finance, 12, 445-475.

Patton, A.J. (2005) “Volatility forecast comparison using imperfect volatility
proxies”, Unpublised

Poon S-H. and Granger C.W.J. (2003). “Forecasting volatility in financial
markets: a review.”
Journal of Economic Literature, 41, 478-539.

Poon S-H. and Granger C.W.J. (2005). “Practical Issues in forecasting volatil-
ity”
Financial Analysts Journal, 61, 45-56.

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