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Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?

Article ID Journal Published Year Pages File Type
10481786 Physica A: Statistical Mechanics and its Applications 2012 11 Pages PDF
Abstract
► A scaled RV measure is taken as the proxy of actual daily volatility. ► The GARCH-type, SV and RV models are compared by SPA tests. ► Intraday data can be used to construct accurate volatility forecasting models.
Keywords
Oil futuresRealized volatilityVolatility forecasting
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
Preview
Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?
Authors
Yu Wei,
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Journal
Physica A: Statistical Mechanics and its Applications
Journal: Physica A: Statistical Mechanics and its Applications
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