附录B外文原文
The impact of Internet finance on commercial banksrsquo; risk taking: evidence from China
Pin Guo and YueShen
Abstract
Background: Internet finance has grown rapidly in China over the past years.Through introducing internet financersquo;s “reducing management cost” and “raisingcapital cost” effects into bank risk-taking model, this paper systematically investigatesthe dynamic and heterogeneous influence of internet finance on China commercialbanksrsquo; risk-taking.
Methods: Using internet finance index based on “text mining” and data of 36commercial banks from 2003 to 2013, we makes an SYS-GMM test.
Results: The results show, firstly, the impact of internet finance on China commercialbanksrsquo; risk-taking is a “U” trend. The initial development of internet finance can helpcommercial banks to reduce management cost and risk-taking, but then internetfinance will raise capital cost, and turn to exacerbate banksrsquo; risk-taking. Secondly, theresponse of China commercial banksrsquo; risk-taking is heterogeneous. Large commercialbanksrsquo; response is slow, while small and medium banksrsquo; response is relatively sensitive.
Conclusions: The conclusion showed the complexityof the implication mechanism andfunctional process of how internet finance affected Chinacommercial banksrsquo; risk-taking.
Keywords: Internet finance, Commercial bank risk taking, System GMM estimation
JEL classification: E44, G21, G29
Background
From simple imitation a decade ago to todayrsquo;s proactive innovation, Chinarsquo;s Internet finance has demonstrated its role as the driving force,which should not beneglected. Over thepast 2 years, in particular, Internet finance has emerged as the “blueocean” enjoying tremendous development where numerous virtual and real enterprises vied to swim into that area. On July 18, 2015, the Guideline on Promoting the Healthy Development of Internet Finance (hereinafter referred to as the Guideline) was jointly issued by 10 ministries and departments including the Peoplersquo;s Bank of China. The Guideline indicated that the deep integration of Internet and finance was a prevailing trend, which would exert a profound influence on financial organization, financial products and financial service, but Internet finance had not changed the features of financial risks such as secret, contagious, wide-spread, and sudden. As a new type of finance business, Internet finance has broken the traditional boundary, propelled the processof financial disintermediation, and brought an overall impactcommercial banking. Against this background, the ever increasing importance has been attached to the discussion on the relation between Internet finance and commercialbanks.
Based on the documents we grasped, scholars differed in their opinions toward the definition of Internet finance. Shahrokhi (2008) maintained that Internet finance was a third financing model which was different from either the indirect financing of commercial bank or the direct financing in capital market. Instead, Zhiwu(2014) pointed out that Internet finance was an extension and upgrading of traditional financial service and was regulatory arbitrage taking advantage of the defect of Chinarsquo; financial system, instead of the so-called new finance. But the unveiling of this Guideline ended the de- bate. It clearly showed that Internet finance was a new model of financing sector where traditional financial institutions and Internet corporations conducted accommodation of funds, payment, investment, and information intermediary service by way of Internet technology and information communication technology.
The integration relation between Internet finance and traditional finance has been highly focused. From the perspective of financial function, Syed and Nida(2013) considered that Internet finance and commercial bank enjoyed their advantages respectively regarding financial functions, and both of them should be guided to compete and cooperate so as to promote the development and innovation of finance. From the perspective of financial repression, Guoqiang and Pengfei (2014) stressed that Internet finance was produced by interest rate control, and its rapid development would facilitate the process of the marketization of interest rate and raise the financing cost, which added the risk facing commercial banks. From the perspective of financial service, Zhilai(2015) indicated that Internet finance exerted great impact on commercial bank including its debt, asset, and intermediary service and would create an atmosphere with commercial bank featuring rapid diversion of debt and dislocation competition among assets, as well as rivalry against Internet finance in payment. In addition, viewed from the perspective of technology spillover, Yue and Pin (2015) analyzed how the promotion mechanism caused by Internet finance function on total factor productivity of commercial bank.
It has been another focus of spill-over effect and risk management targeting Internet finance. Xiaoqiu (2015) pointed out that Internet finance reduced transaction cost, facilitated market competition, enriched the finance implication, and pushed forward the financial reform. However, some risks also emerged rangingfrom dependence on technology and absence of trust to failure in business due to the lack of rules and regulations. Thus, itis imperative to conduct supervision and management over Internet finance and adhere to the principles of “lawful, moderate, classified, coordinated and innovative supervision and management,” so as to promote its sustainable development (Haier and Wuguang
背景:在中国过去一年中,互联网金融发展迅速。本文通过引入互联网金融的“降低管理成本”和“提高资本成本”影响到银行的风险模型,系统地研究了动态、异构的网络金融对中国商业银行的风险承担影响。
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表3 变量单位根检验
Variables |
Hadri test Statistics (figure P) |
LLC test Statistics (figure P) |
IPS test Statistics (figure P) |
RISKA/E |
2.327*** (0.010) |
minus;8.883*** (0.000) |
minus;4.229*** (0.000) |
RISKLL |
7.787*** (0.000) |
minus;30.396*** (0.000) |
minus;7.206*** (0.000) |
RISKL/A |
8.636*** (0.000) |
minus;7.139*** (0.000) |
minus;3.522*** (0.000) |
LI |
8.000*** (0.000) |
minus;6.152*** (0.000) |
minus;1.764** (0.039) |
注:三种单位根检验的原始假设是不存在单位根变量;**和**分别代表1和5%水平的显著性。
表4 互联网金融对商业银行风险承担的动态影响
Variable |
Model (1) |
Model (2) |
Model (3) |
Model (4) |
Model (5) |
Model (6) |
L1.RISK |
0.2164*** |
0.2101*** |
0.7195*** |
0.8478*** |
0.5135*** |
0.4362*** |
(0.0025) |
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