Economy – Quantitative Finance – Trading and Market Microstructure
Scientific paper
2010-02-10
Economy
Quantitative Finance
Trading and Market Microstructure
14 pages, 2 figures
Scientific paper
Using virtual stock markets with artificial interacting software investors, aka agent-based models (ABMs), we present a method to reverse engineer real-world financial time series. We model financial markets as made of a large number of interacting boundedly rational agents. By optimizing the similarity between the actual data and that generated by the reconstructed virtual stock market, we obtain parameters and strategies, which reveal some of the inner workings of the target stock market. We validate our approach by out-of-sample predictions of directional moves of the Nasdaq Composite Index.
Satinover Jeffrey
Sornette Didier
Wiesinger J.
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