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Resumo(s)
This thesis investigates the impact of iceberg orders on market dynamics using agent-based
modeling (ABM). By simulating a financial market with two types of agents—Iceberg Agents, who
conceal their order sizes, and Regular Agents, who execute single-unit orders—we analyze market
efficiency, traded volume, and price evolution. Our findings indicate that iceberg orders enhance
market stability, increase liquidity, and improve efficiency by mitigating the disruptive impact of
large trades. This study offers valuable insights for market participants and regulators, highlighting
the strategic advantages of iceberg orders and their implications for market structure and behavior.
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Abm Finance Finanacial market Iceberg orders
