Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19749
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dc.creatorDöpke, Jörg-
dc.creatorHartmann, Daniel-
dc.creatorPierdzioch, Christian-
dc.date2005-
dc.date.accessioned2013-10-16T07:06:37Z-
dc.date.available2013-10-16T07:06:37Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/19749-
dc.identifierppn:511473419-
dc.identifierRePEc:zbw:bubdp2:4357-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/19749-
dc.descriptionWe compared forecasts of stock market volatility based on real-time and revised macroeconomic data. To this end, we used a new dataset on monthly real-time macroeconomic variables for Germany. The dataset covers the period 1994-2005. We used a statistical, a utility-based, and an options-based criterion to evaluate volatility forecasts. Our main result is that the statistical and economic value of volatility forecasts based on real-time data is comparable to the value of forecasts based on revised macroeconomic data.-
dc.languageeng-
dc.relationDiscussion Paper, Series 2: Banking and Financial Supervision 2006,01-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectG11-
dc.subjectE44-
dc.subjectC53-
dc.subjectddc:330-
dc.subjectForecasting stock market volatility-
dc.subjectReal-time macroeconomic data-
dc.subjectEvaluation of forecasting accuracy-
dc.subjectBörsenkurs-
dc.subjectVolatilität-
dc.subjectPrognoseverfahren-
dc.subjectAktienmarkt-
dc.subjectKonjunktur-
dc.subjectMakroökonomischer Einfluß-
dc.subjectSchätzung-
dc.subjectDeutschland-
dc.titleForecasting stock market volatility with macroeconomic variables in real time-
dc.typedoc-type:workingPaper-
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