A Stochastic Differential Game Approach to Optimal Regulatory Policy in Dynamic Oligopolistic Markets
Keywords:
stochastic differential games, regulatory policy, oligopolistic markets, market stability, competitive equilibriumAbstract
This paper explores the development of a stochastic differential game model to optimize regulatory policies in dynamic oligopolistic markets. By integrating advanced mathematical frameworks, we address the instability and non-cooperative behavior prevalent in such markets. Our model offers a novel methodological advancement by incorporating real-time data analytics, providing regulators with actionable insights to mitigate market volatility. Simulations demonstrate the model’s efficacy in enhancing market stability and fostering competitive equilibrium.
References
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