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Blake LeBaron

Researcher at Brandeis University

Publications -  109
Citations -  15712

Blake LeBaron is an academic researcher from Brandeis University. The author has contributed to research in topics: Financial market & Stock market. The author has an hindex of 44, co-authored 109 publications receiving 14967 citations. Previous affiliations of Blake LeBaron include Santa Fe Institute & National Bureau of Economic Research.

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The impact of imitation on long memory in an order-driven market

TL;DR: In this article, the authors explore the impact of varying amounts of imitation and agent learning in a simple order-driven market and show that imitation is critical to the generation of long memory persistence in many financial time series.
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Do Moving Average Trading Rule Results Imply Nonlinearities in Foreign Exchange Markets

TL;DR: In this article, fitted linear models can replicate results from moment tests inspired by moving average technical trading rules for weekly foreign exchange series, along with a simulated method of moments technique which incorporates the trading rule moments into the estimation procedure.
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Active and Passive Learning in Agent-based Financial Markets

TL;DR: In this article, the authors compare and contrast two forms of learning which are present in most agent-based financial markets, passive learning and active switching, where wealth accumulates on strategies which have done relatively well.
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An artificial stock market

TL;DR: The Santa Fe Artificial Stock Market consists of a central computational market and a number of artificially intelligent agents, which make their investment decisions by attempting to forecast the future return on the stock, using genetic algorithms to generate, test, and evolve predictive rules.