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Forecasting stock market volatility and the informational efficiency of the DAX-index options market Author info | Abstract | Publisher info | Download info | Related research | Statistics Holger Claessen
Stefan Mittnik
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contem poraneously observed option prices or history-based volatility predictors such as GARCH models, are investigated to determine if they are more appropriate for predicting future return volatility. Employing German DAX-index return data it is found that past returns do not contain useful information beyond the volatility expectations already reflected in option prices. This supports the efficient market hypothesis for the DAX index options market.
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Article provided by Taylor and Francis Journals in its journal The European Journal of Finance .
Volume (Year): 8 (2002)
Issue (Month): 3 (September)
Pages: 302-321
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Handle: RePEc:taf:eurjfi:v:8:y:2002:i:3:p:302-321Contact details of provider: Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=100161
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Keywords: Market Efficiency ; Implied Volatility ; Garch ; Combined Forecasting ; References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Markus Haas & Stefan Mittnik & Bruce Mizrach, 2005.
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Markus Haas & Stefan Mittnik & Bruce Mizrach, 2004.
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