High-frequency volatility combine forecast evaluations: An empirical study for DAX

Volume: 3, Issue: 1-4, Pages: 1 - 12
Published: Jan 1, 2017
Abstract
This study aims to examine the benefits of combining realized volatility, higher power variation volatility and nearest neighbour truncation volatility in the forecasts of financial stock market of DAX. A structural break heavy-tailed heterogeneous autoregressive model under the heterogeneous market hypothesis specification is employed to capture the stylized facts of high-frequency empirical data. Using selected averaging forecast methods, the...
Paper Details
Title
High-frequency volatility combine forecast evaluations: An empirical study for DAX
Published Date
Jan 1, 2017
Volume
3
Issue
1-4
Pages
1 - 12
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