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Order flow transaction clock and normality of asset returns: A comment on Ané and Geman (2000) Author info | Abstract | Publisher info | Download info | Related research | Statistics Anthony Murphy
Marwan Izzeldin
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We investigate the procedure used by Ané and Geman (2000) to recover the moments of the information flow from high frequency data, in a model which generalizes the subordinated process in Clark (1973). We explain why the third and higher moments of the latent information flow cannot be accurately recovered using this procedure. We illustrate this, using Monte Carlo simulations. We also show that, contrary to the claims in AG, returns conditioned on the re-centered number of trades are not approximately Gaussian.
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Paper provided by Lancaster University Management School, Economics Department in its series Working Papers with number
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Date of creation: 2006Date of revision:
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Lamoureux, Christopher G & Lastrapes, William D, 1994.
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Torben G. Andersen & Tim Bollerslev & Per Houmann Frederiksen & Morten Ørregaard Nielsen, 2007.
"Continuous-Time Models, Realized Volatilities, and Testable Distributional Implications for Daily Stock Returns ,"
CREATES Research Papers
2007-21, School of Economics and Management, University of Aarhus.
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