2023/03 | LEM Working Paper Series | ||||||||||||||||
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A non-Normal framework for price discovery: The independent component based information shares measure |
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Sebastiano Michele Zema and Francesco Cordoni |
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Keywords | |||||||||||||||||
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Vector error correction models (VECMs); information shares; market microstructure; independent component analysis; pseudo maximum likelihood; price discovery.
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JEL Classifications | |||||||||||||||||
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C32, C58, G14
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Abstract | |||||||||||||||||
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We propose a new measure of price discovery, which we will refer to as
the Independent Component based Information Share (IC-IS). This
measure constitutes a variant of the widespread Information Share,
with the main difference being it does not suffer the same
identification issues. Under the assumptions of non-normality of the
shocks, a rather general theoretical framework leading to the
definition of the IC-IS and its estimation via a pseudo maximum
likelihood (PML) approach is illustrated. After testing the robustness
of the measure in a Montecarlo simulation environment, we illustrate
two separate empirical analyses encompassing different price discovery
applications.
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