News Center
Apr 29, 2015

Eurex

IWQW-Study: Components of intraday volatility and their prediction at different sampling frequencies with application to DAX® and Bund Futures

A new study, conducted by the Institute of Economic Policy and Quantitative Economic Research, features the adjusted measure of realized volatility applied to high-frequency order book and transaction data of DAX® and Bund Futures from Eurex in order to identify the drivers of intraday volatility. Four components are identifed to have predictive power: an auto-regressive pattern, a seasonal pattern, long-term memory and scheduled data releases. These components are analyzed in detail. Some evidence for two additional components, market microstructure events and unscheduled news, is given. Depending on the sampling frequency the study estimates that between one and two thirds of the variation in realized volatility can be predicted by a simple linear model based on the components identified. It is shown how the predictive power of the different components depends on sampling frequencies.

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