Multi-agent reinforcement learning with heterogeneous preferences leads to emergent role specialization whose interactions produce fat-tailed returns and volatility clustering, offering a computational realization of the Adaptive Market Hypothesis.
Impact of high-frequency trading with an order book imbalance strategy on agent-based stock mar- kets.Complexity, 2023(1):3996948
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-fin.CP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Financial Market as a Self-Organized Ecosystem: Simulation via Learning with Heterogeneous Preferences
Multi-agent reinforcement learning with heterogeneous preferences leads to emergent role specialization whose interactions produce fat-tailed returns and volatility clustering, offering a computational realization of the Adaptive Market Hypothesis.