Recovering the moments of information flow and normality of asset returns

Izzeldin, Marwan and Murphy, Anthony (2010) Recovering the moments of information flow and normality of asset returns. Applied Financial Economics, 20 (10). pp. 761-769. ISSN 0960-3107

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Abstract

We investigate the univariate procedure used by Ane and Geman (AG, 2000) to recover the moments of the information flow from high-frequency data, in a mixture of distributions 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-centred number of trades are not approximately Gaussian. Finally, we consider the bivariate approach of Richardson and Smith (1994), inter alia, to recover the moments of information flow.

Item Type:
Journal Article
Journal or Publication Title:
Applied Financial Economics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
?? ECONOMICSFINANCEECONOMICS AND ECONOMETRICSHB ECONOMIC THEORYDISCIPLINE-BASED RESEARCH ??
ID Code:
44615
Deposited By:
Deposited On:
11 Jul 2011 18:18
Refereed?:
No
Published?:
Published
Last Modified:
14 Sep 2023 23:55