An Agent-based Modeling Approach to Study Price Impact

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Title: An Agent-based Modeling Approach to Study Price Impact
Authors: Cui, Wei
Brabazon, Anthony
Permanent link: http://hdl.handle.net/10197/3751
Date: 29-Mar-2012
Abstract: Price impact models are important for devising trade execution strategies. However, a proper characterization of price impacts is still lacking. This study models the price impact using an agent-based modeling approach. The purpose of this paper is to investigate whether agent intelligence is a necessary condition when seeking to construct realistic price impact with an artificial market simulation. We build a zero- intelligence based artificial limit order market model. Our model distinguishes limit orders according to their order aggressiveness and takes into account some observed facts including log-normal distributed order sizes and power-law distributed limit order placements. The model is calibrated using trades and orders data from the London Stock Exchange. The results indicate that agent intelligence is needed when simulating an artificial market where replicating price impact is a concern.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE Press
Copyright (published version): 2012 IEEE
Keywords: Agent based modellingPrice impact
Subject LCSH: Prices--Computer simulation
Stock exchanges--Computer simulation
Multiagent systems
DOI: 10.1109/CIFEr.2012.6327798
Language: en
Status of Item: Peer reviewed
Is part of: Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012 IEEE Conference on [proceedings]
Conference Details: 2012 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, New York, USA, 29-30 March 2012
Appears in Collections:FMC² Research Collection
Business Research Collection

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