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Author:Balaban, E.
Bayar, A.
Faff, R.
Title:Forecasting stock market volatility: further international evidence
Journal:European Journal of Finance
2006 : FEB, VOL. 12:2, p. 171-188
Index terms:evaluation
forecasting
investments
stock markets
volatility
Language:eng
Abstract:This article evaluates eleven different forecasting methods for forecasting the volatility of a stock market. Volatility is tested in fifteen stock markets for the ten-year period from 1988 to 1997. The authors find that the exponential smoothing model provides the most accuracy of the models tested. However, this varies with the penalization of under- /over-prediction.
SCIMA record nr: 261073
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