Research on Risk Supervision and Countermeasures of Internet Finance Industry in China

2019 ◽  
Vol 08 (07) ◽  
pp. 1305-1310
Author(s):  
兴 聂
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.


2021 ◽  
Vol 4 (5) ◽  
pp. 45-51
Author(s):  
Junxuan Ni ◽  
Haoxuan Ni

As a useful supplement to China’s financial system, the development of internet finance has promoted the innovation of financial model and injected strong vitality into the financial market. Internet finance provides customers with more convenient and fast financial services, effectively alleviates financial exclusion, and reduces information asymmetry. It is of great significance to promote the marketization of interest rate and the development of inclusive finance in China. However, internet financial risk events occur frequently, posing a serious challenge. Therefore, this research analyzes the causes of internet financial risks, and provides suggestions on internet financial risk supervision, so as to promote a healthy development of the internet financial industry in China.


2020 ◽  
Vol 4 (10) ◽  
Author(s):  
Jinli Zhang ◽  
Zhen Li ◽  
Chaorui He ◽  
Xinyue Wang

In recent years, online credit platforms have emerged one after another. With the continuous development of China’s "Internet +", the Internet finance industry has shown explosive growth, and P2P peer-to-peer loans have emerged. Some peer-to-peer credit platforms have expanded their business to universities, targeting college students with high consumer demand and little social experience, which has seriously affected the study and life of college students and brought serious negative impacts to society. Universities must strengthen the risk management of "campus loans" and take effective preventive measures. The risks of campus loans include loan risks, guarantee risks, default risks, etc. The causes of these risks are the lack of legal and financial knowledge of college students, the deviation of consumption concepts, and the publicity and risk assessment errors of campus loans. Through an in-depth analysis of the risks of college students’ campus loans, this article puts forward feasible preventive measures that are conducive to ensuring the personal and property safety of college students.


2019 ◽  
Vol 10 (5) ◽  
pp. 262
Author(s):  
Ximeng Zhang ◽  
Myeong Cheol Choi

Convergence of Internet technology and traditional financial industry has created a new field of Internet finance. Nowadays, China has a very large Internet user base and application market. With the application and development of the Internet, China has become one of the most developed countries that use Internet banking services and has the highest number of Internet finance users. Ant Financial is the first to enter the Internet financial market, and has now become a representative of China’s Internet finance industry due to its extensive layout and rich business. Most of the previous research has only studied a part of Ant Financial without an analytical framework. Therefore, this study intends to investigate the history, development process, and success factors of Ant Financial. The contents of this paper are as follows. First, the development process and the current situation of Ant Financial Services are expounded. Second, the advantages and disadvantages of the current development process are analyzed by the SWOT analysis technique. Through the comparison of the research results, the guiding opinions for the development of Ant Financial Services are proposed. Finally, summary of the success reasons and future prospects for development are presented.


Author(s):  
Guangtong Gu ◽  
Wenjie Zhu ◽  
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◽  
◽  
...  

The modern finance industry is composed of not only numerous financial intermediaries but also internet-based mechanisms which are operated by mobile phone users and online consumers daily. In the coming 10 years, estimates suggest that over half of banks’ functions will likely be replaced by high-tech artificial intelligence. Given the great ongoing shifts in contemporary financial systems, the transmission effects of internet-based finance practices have introduced an important yet unaddressed empirical question on the coupling relationship between the internet finance industry and economic policy uncertainty (EPU). This paper adopts the time-varying parameter vector autoregressive model with stochastic volatility (TVP-SV-VAR) model and novel data from Alibaba Corp. to investigate this relationship. We find: First, the impact of internet-based financial approaches on EPU is greater than the reversal effect, indicating that China’s gross domestic product (GDP) is largely influenced by the online finance industry. Second, the lag impacts are time varying and become stable after 2016, corresponding to the current Chinese government’s long-term strategic plan that emphasizes maintaining the economy’s overall stability. Lastly, additional evidence shows that the online financial approaches are positively correlated with consumers’ behaviors, implying that the online finance industry is gaining its momentum when people are using e-currency rather than real cash. After all, it takes time to observe the real effect of these macro policies. With internet and information technology developing, artificial intelligence is being used in the areas of big data, credit lending, and risk control. This largely reduces the data analyzing cost for internet finance companies and makes risk control more convenient.


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


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.


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