Multiple Market-Maker Behavior in Artificial Financial Markets
نویسنده
چکیده
The Problem: This project is intended to study the behavior of intelligent market-makers in a competitive environment. Our artificial financial market can be populated by various types of trading agents with varying levels of intelligence. This provides a framework for testing the behavior of simple and adaptive market-makers who compete with each other for profits, and for comparing price behavior in markets that use multiple competitive market-makers (like NASDAQ) and markets that have a single market-maker for each stock (like the New York Stock Exchange).
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