Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/144492
Authors: 
Vander Elst, Harry
Year of Publication: 
2015
Series/Report no.: 
Working Paper Research 280
Abstract: 
We introduce the class of FloGARCH models in this paper. FloGARCH models provide a parsimonious joint model for low frequency returns and realized measures and are sufficiently flexible to capture long memory as well as asymmetries related to leverage effects. We analyze the performances of the models in a realistic numerical study and on the basis of a data set composed of 65 equities. Using more than 10 years of high-frequency transactions, we document significant statistical gains related to the FloGARCH models in terms of in-sample fit, out-of-sample fit and forecasting accuracy compared to classical and Realized GARCH models.
Subjects: 
Realized GARCH models
high-frequency data
long memory
realized measures.
JEL: 
C22
C53
C58
G17
Document Type: 
Working Paper

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