A model for evolution of investors behavior in stock market based on reinforcement learning in network

DOI10.1155/2020/3561538zbMath1451.91179OpenAlexW3087859086MaRDI QIDQ2210235

Xiaqun Liu, Ya-Ming Zhuang, Jin-Sheng Li

Publication date: 5 November 2020

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/3561538

Mathematics Subject Classification ID

Rationality and learning in game theory (91A26) Portfolio theory (91G10)

Cites Work

• Heterogeneous trading strategies with adaptive fuzzy actor-critic reinforcement learning: a behavioral approach
• Evolving dynamics of trading behavior based on coordination game in complex networks
• Understanding flash crash contagion and systemic risk: a micro-macro agent-based approach
• Analyzing the stock market based on the structure of \textit{kNN} network
• Evolutionary investors' power-based game on networks
• Adaptive stock trading with dynamic asset allocation using reinforcement learning
• Experience-weighted Attraction Learning in Normal Form Games

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