Research On Using Big Data In Fintech Regulatory Models And Case Study

Before the global financial crisis in 2008,people's views on financial innovation were very positive;since the crisis however,technology has transformed the financial industry at an unprecedented rate.This has impacted the current financial regulatory model in many ways,for example in terms of financial institutions'operations,capital raising,and currency forms.The application of big data to the financial regulatory system has implications relating to the stability of the financial capital market,going from the adjustment of the original regulatory model to the formulation of a new regulatory model.This paper first examines the status quo and problems of financial technology development,interprets the impact of financial technology;analyzes the global financial supervision model;and then goes on to summarize the advantages of big data when applied to financial regulation,providing case analyses of regulating front running,insider trading,and anti-money laundering.This paper concludes that although the main regulatory objectives(such as financial stability,market security,consumer protection and market competition and development)still exist,the means of regulation are increasingly limited by the influence of financial technology.In terms of regulation,the use of big data can play an early warning role in combating insider trading,front-running and money laundering,and can also guard against unusual transaction data.Finally,compared to traditional regulatory methods,financial technology regulatory models using big data can effectively reduce the level of information asymmetry.From the conclusions stated above,this paper shows that in dealing with regulating financial technology,the regulatory authorities should not only pay attention to how to provide effective incentives for enterprises,but also correctly guide and regulate their market behavior;raise regulatory standards and build a comprehensive risk management system with effective risk management policy;standardize and encourage the orderly development of financial technology,use professional risk management tools to improve the ability to prevent and control risks,and promote the simultaneous advancement of financial technology innovation and security.