scholarly journals Research on Internet Financial Regulatory Innovation in China

2021 ◽  
Vol 275 ◽  
pp. 01037
Author(s):  
Yaling Li

As an emerging form of financial innovation, Internet finance will inevitably break through the boundary of traditional finance in the process of innovation. Therefore, how to adapt the supervision to the characteristics of Internet finance and how to balance the innovation and supervision of Internet finance have presented a new issue to the regulatory authorities. Based on the connotation and characteristics of Internet finance, this paper analyzes the current development status of Internet finance in China, and analyzes the problems of Internet finance industry, such as imperfect laws and regulations, chaotic financial supervision institutions, loss of supervision technology and talent, and information disclosure. Finally, from three aspects of supervision legal system, this paper puts forward a series of moderate and effective supervision suggestions on the supervision system and internal supervision mechanism of Internet finance, so as to promote the stable development of the Internet.

2020 ◽  
Vol 218 ◽  
pp. 01022
Author(s):  
Zixuan Wang

Along with the rapid development of Internet finance in China, the irregularities in Internet finance industry has violated the Internet financial consumer rights at many levels. Learning from domestic and foreign experience, the improvement on the legislation on Internet finance, the financial supervision system and the Internet financial consumer dispute resolution mechanisms should be achieved, so as to enhance the protection of Internet financial consumer rights.


2021 ◽  
pp. 48-60
Author(s):  
Noura Metawa ◽  
◽  
◽  
Saad Metawa

Internet financial risk prevention is an important area for financial risk prevention. In recent years, a series of vicious high-risk events, such as cash lending and P2P platform running, have caused a great negative impact on the reputation of the Internet financial industry, which has aroused great concern from all walks of life. Based on big data analysis technology, this paper constructs an improved algorithm model, and carries out high-precision risk warning for China's Internet financial risk. The forecast data is basically consistent with the actual situation, and the prediction accuracy reaches 90%. It can be seen that the improved model based on the decision tree algorithm has higher prediction accuracy for Internet financial risk warning. This paper systematically sorts out the risks of China's Internet finance from two dimensions: risk type and main risk. And pointed out that the current Internet finance industry in China has a large overall compliance risk, and insufficient infrastructure construction leads to fraud risks. Separate industry supervision has a regulatory vacuum, arbitrage risks are more obvious, and China's financial consumer quality is not high, Internet financial institutions Improper exemption is risky. On this basis, it is proposed to speed up the construction of a multi-integrated Internet financial risk prevention system including the internal risk control system, the industry association self-discipline system, the government administrative supervision system and the effective social supervision system.


Author(s):  
Chi Chien Zhu ◽  
Jiye Hu

In recent years, internet finance has developed rapidly in China; however, the inherent characteristics of the internet have magnified the high-risk nature of the financial industry. Consequently, this leads to the complication of risk types, the acceleration of risk propagation, and the increase of interconnection of risk system, and these issues pose a serious challenge to regulation. Including the improvement of internet finance laws and regulations, the establishment of a multi-level internet financial supervision system, and the increase of the internet financial security system, the most effective risk prevention measures can be supplemented by administrative means carried out to resolve the stock risk through the nationwide internet financial rectification. At present, the traditional financial business mode is mainly under the control of the current financial law. This kind of law is rarely related to internet finance. Even if it is involved slightly, it is due to the early formulation time and needs to be revised.


2020 ◽  
pp. 1-11
Author(s):  
Hui Wang ◽  
Huang Shiwang

The various parts of the traditional financial supervision and management system can no longer meet the current needs, and further improvement is urgently needed. In this paper, the low-frequency data is regarded as the missing of the high-frequency data, and the mixed frequency VAR model is adopted. In order to overcome the problems caused by too many parameters of the VAR model, this paper adopts the Bayesian estimation method based on the Minnesota prior to obtain the posterior distribution of each parameter of the VAR model. Moreover, this paper uses methods based on Kalman filtering and Kalman smoothing to obtain the posterior distribution of latent state variables. Then, according to the posterior distribution of the VAR model parameters and the posterior distribution of the latent state variables, this paper uses the Gibbs sampling method to obtain the mixed Bayes vector autoregressive model and the estimation of the state variables. Finally, this article studies the influence of Internet finance on monetary policy with examples. The research results show that the method proposed in this article has a certain effect.


2012 ◽  
Vol 3 (4) ◽  
pp. 23-39 ◽  
Author(s):  
Elżbieta Izabela Szczepankiewicz

Faced with the risk of consecutive waves of financial crisis and economic recession, government committees, financial supervision authorities and financial institutions themselves – both in Poland and worldwide – have launched a number of measures to make the supervision of insurance sector institutions more effective, particularly in aspects related to efficient risk management and internal control. The article describes the impact of the amendment of laws and other regulations on the development of the present internal control systems in insurance sector institutions. It draws attention to the need for a new structure of the internal control system, and the role and purpose of the internal audit and the audit committee as the bodies supporting effective supervision in insurance undertakings and reinsurance undertakings.


2021 ◽  
Vol 235 ◽  
pp. 01010
Author(s):  
Peng Zhong ◽  
Tao Wu ◽  
Shuaixin Guo

This paper adopts the orderly logit model which has achieved good results in the research of financial supervision organization structure in recent years, selects 62 representative countries as samples, estimates and analyzes the factors that affect the financial supervision organization structure change, and carries on the empirical test to the constructed model, thus provides the reference basis for developing countries to select their own financial supervision organization structure.


Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen

In recent years there has been a phenomenon of “Thirst for Credit Investigation Information” within China's internet finance industry. To compensate for the new credit investigation demands that traditional measures of credit investigation lack, big data credit investigation has been widely recognized as a viable solution. Big data credit investigation however poses greater risks to the rights and interests of the information subject. In order to solve the existing problems associated with the data credit investigation industry, the author advocates that special laws and regulations be revised or formulated on the basis of balancing the rights and interests of the information subject with those of public interests. In the future, the combination of big data credit investigation system with blockchain technology may effectively solve the problems that are harmful to the rights and interests of the information subject, such as information-isolated island and information security.


Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen

In recent years there has been a phenomenon of “Thirst for Credit Investigation Information” within China's internet finance industry. To compensate for the new credit investigation demands that traditional measures of credit investigation lack, big data credit investigation has been widely recognized as a viable solution. Big data credit investigation however poses greater risks to the rights and interests of the information subject. In order to solve the existing problems associated with the data credit investigation industry, the author advocates that special laws and regulations be revised or formulated on the basis of balancing the rights and interests of the information subject with those of public interests. In the future, the combination of big data credit investigation system with blockchain technology may effectively solve the problems that are harmful to the rights and interests of the information subject, such as information-isolated island and information security.


Author(s):  
Sherin Binti Kunhibava ◽  
Aishath Muneeza

The Malaysian finance industry is governed by Bank Negara Malaysia (BNM) and Securities Commission Malaysia (SC). BNM governs the banking and insurance industries and the SC regulates and develops its capital market. Both authorities have issued regulations to cater for the proliferation of fintech businesses. For example, BNM issued regulations on digital currency exchanges, electronic-know your customer requirements for fintech companies facilitating remittances, and a regulatory sandbox framework for fintech businesses. Similarly, the SC issued a digital investment management framework, another to facilitate equity crowdfunding, peer-to-peer lending, and digital asset exchanges, and the instrumental digital currency and digital token order. All were issued to encourage innovation in the industry, manage disruption, mitigate risks, and ensure consumer protection. This chapter will explain the steps taken by Malaysia's financial regulatory authorities in dealing with fintech-based companies, critically review the regulations, and recommend some ways forward.


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