Research on Financial Market Complexity and Financial Risk Regulation Measures

Abstract

The financial market is composed of many factors and has high volatility and complexity. Effective analysis of the complexity of the financial market and financial risk regulation measures can effectively avoid risks. For this reason, this study constructs a financial market model based on multi-agent theory, analyzes the evolution mechanism of the complexity of the financial market from the perspectives of correlation and non-correlation, and then USES VaR method to quantify the risk of the financial market. On this basis, based on investor behavior, market fundamentals and investor expectations, and many other parameters change, the analysis of the financial market risk control principle, and put forward improve control investment risk awareness, establish perfect risk management mechanism, improve capital of dynamic management, cultivating financial investment management, develop targeted financial regulation means, increase the risk of investment species diversification six financial risk control measures. The subsequent application practice also proves that the above measures can provide effective support for the efficient management of financial market risks.