Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9040
Title: Informed traders
Authors: Brody, DC
Davis, MHA
Friedman, RL
Hughston, LP
Keywords: Statistical arbitrage;Asymmetric information;Information-based asset pricing;Hedge funds;Insider trading;Mutual information
Issue Date: 2009
Publisher: The Royal Society
Citation: Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, 465(2104), 1103 - 1122, 2009
Abstract: An asymmetric information model is introduced for the situation in which there is a small agent who is more susceptible to the flow of information in the market than the general market participant, and who tries to implement strategies based on the additional information. In this model market participants have access to a stream of noisy information concerning the future return of an asset, whereas the informed trader has access to a further information source which is obscured by an additional noise that may be correlated with the market noise. The informed trader uses the extraneous information source to seek statistical arbitrage opportunities, while at the same time accommodating the additional risk. The amount of information available to the general market participant concerning the asset return is measured by the mutual information of the asset price and the associated cash flow. The worth of the additional information source is then measured in terms of the difference of mutual information between the general market participant and the informed trader. This difference is shown to be non-negative when the signal-to-noise ratio of the information flow is known in advance. Explicit trading strategies leading to statistical arbitrage opportunities, taking advantage of the additional information, are constructed, illustrating how excess information can be translated into profit.
Description: This article is available open access through the publisher’s website at the link below. Copyright @ 2008 The Royal Society.
URI: http://rspa.royalsocietypublishing.org/content/465/2104/1103
http://bura.brunel.ac.uk/handle/2438/9040
DOI: http://dx.doi.org/10.1098/rspa.2008.0465
ISSN: 1364-5021
Appears in Collections:Dept of Mathematics Research Papers
Mathematical Sciences

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