Aloud, Monira and Fasli, Maria and Tsang, Edward and Dupuis, Alexander and Olsen, Richard (2017) Modeling the High-Frequency FX Market: An Agent-Based Approach. Computational Intelligence, 33 (4). pp. 771-825. DOI https://doi.org/10.1111/coin.12114
Aloud, Monira and Fasli, Maria and Tsang, Edward and Dupuis, Alexander and Olsen, Richard (2017) Modeling the High-Frequency FX Market: An Agent-Based Approach. Computational Intelligence, 33 (4). pp. 771-825. DOI https://doi.org/10.1111/coin.12114
Aloud, Monira and Fasli, Maria and Tsang, Edward and Dupuis, Alexander and Olsen, Richard (2017) Modeling the High-Frequency FX Market: An Agent-Based Approach. Computational Intelligence, 33 (4). pp. 771-825. DOI https://doi.org/10.1111/coin.12114
Abstract
The development of computational intelligence‐based strategies for electronic markets has been the focus of intense research. To be able to design efficient and effective automated trading strategies, one first needs to understand the workings of the market, the strategies that traders use, and their interactions as well as the patterns emerging as a result of these interactions. In this article, we develop an agent‐based model of the foreign exchange (FX) market, which is the market for the buying and selling of currencies. Our agent‐based model of the FX market comprises heterogeneous trading agents that employ a strategy that identifies and responds to periodic patterns in the price time series. We use the agent‐based model of the FX market to undertake a systematic exploration of its constituent elements and their impact on the stylized facts (statistical patterns) of transactions data. This enables us to identify a set of sufficient conditions that result in the emergence of the stylized facts similarly to the real market data, and formulate a model that closely approximates the stylized facts. We use a unique high‐frequency data set of historical transactions data that enables us to run multiple simulation runs and validate our approach and draw comparisons and conclusions for each market setting.
Item Type: | Article |
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Uncontrolled Keywords: | agent‐based modeling; agent‐based simulation; electronic markets; FX markets; stylized facts |
Subjects: | H Social Sciences > HG Finance Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 17 Jan 2017 12:00 |
Last Modified: | 30 Oct 2024 16:44 |
URI: | http://repository.essex.ac.uk/id/eprint/18823 |
Available files
Filename: FXABM-ID-COIN-OA-08-15-2254(20160904).pdf