Analysis of the application of game theory methods in financial markets and opportunities for creating automatic exchange trading systems

Анотація

This discussion delves into the application of game theory principles, particularly Nash equilibrium, in the design of automated systems within financial markets. It explores various instances, including oligopolistic competition using the Cournot model, the impact of cooperation and competition among companies, and the dynamics of financial markets influenced by investor behaviors. Additionally, the narrative unfolds the integration of game theory in analyzing investment decisions, risk management, and the development of automated trading systems, such as High-Frequency Trading (HFT) algorithms. The concept of Nash equilibrium is further extended to portfolio management systems, illustrating how automated systems optimize asset allocation based on strategic interactions. The discussion highlights the adaptability of these systems to changing market conditions and the continuous assessment of risks and potential returns. The development of automated trading systems, based on the principles of game theory, facilitates the construction of systems that adapt to changes in the market environment, quickly react to changes and make accurate decisions based on a thorough analysis of data and actions of market participants.

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