Fintech And Financial Risk In China

This book provides a comprehensive overview of the development and status of fintech in China. Occupying core position in fintech development, big data takes on stronger superiority and application value. Meanwhile, blockchain and other technological innovations, which are used to serve data, greatly promote the growth of fintech industry. Furthermore, not only the benefits are illustrated by the authors, but also the financial risks and noise caused by fintech and big data are discussed. By using both academic knowledge and newest real cases in China, this timely book will appeal to practitioners, academics, and policy makers.

Financial technology—or fintech—is gaining in popularity globally as a way of making financial services more efficient and accessible. In rapidly developing China, fintech is taking off, catering to markets that state-owned banks and an undersized financial sector do not serve amid a backdrop of growing consumption and a large, tech-savvy millennial generation. It is becoming increasingly likely that some of China’s fintech firms will change the way the world does business. In China’s Fintech Explosion, Sara Hsu and Jianjun Li explore the transformative potential of China’s financial-technology industry, describing the risks and rewards for participants as well as the impact on consumers. They cover fintech’s many subsectors, such as digital payment systems, peer-to-peer lending and crowdfunding, credit card issuance, internet banks, blockchain finance and virtual currencies, and online insurance. The book highlights the disruption of traditional banking as well as the risks of fintech and regulatory technology. Hsu and Li describe major companies including Alipay and Tencent, developer of WeChat Pay and a wealth-management business, and other leading fintech firms such as Creditease, Zhong An Insurance, and JD Finance. Offering expert analysis of market potential, risks, and competition, as well as case studies of firms and consumer behavior, China’s Fintech Explosion is a must-read for anyone interested in one of the world’s breakout sectors.

China’s digital economy has expanded rapidly in recent years. While average digitalization of the economy remains lower than in advanced economies, digitalization is already high in certain regions and sectors, in particular e-commerce and fintech, and costal regions. Such transformation has boosted productivity growth, with varying impact on employment across sectors. Going forward, digitalization will continue to reshape the Chinese economy by improving efficiency, softening though not reversing, the downward trend of potential growth as the economy matures. The government should play a vital role in maximizing the benefits of digitalization while minimizing related risks, such as potential labor disruption, privacy infringement, emerging oligopolies, and financial risks.

The book is based on the research concerning China’s National Balance Sheet (NBS) which is conducted by NIFD, the unique research groups in China focusing on NBS. The relative data have been quoted by the IMF, Chinese government sectors, influential investment banks at home and abroad. This book offers readers a unique edited work that systematically presents solutions to manage financial risk in the context of the current situation in China.

This book analyzes the risk cultures in China that have emerged from the entanglement of new communication technologies and financial markets, examining the role that digital media play in Asian modernity and offering an alternative narrative to that of the West. The book illustrates the impact of exclusively Chinese digital media on power dynamics within risk definition, arguing that information and communication technologies (ICTs) empower individuals, enabling them to compete with an expert-oriented risk culture controlled by Government- and banker-led media outlets. With struggles, competitions, compromises, and confrontations, major communicators in financial world are collectively producing risk cultures based on interpersonal relations instead of contractual obligations, in which insider information is valued over professional analysis. Meanwhile, investors are trapped in a risk culture paradox that they themselves have produced, as they attempt to take advantage of other actors’ uncertainties and eventually produce risks for the entire market.

This book starts from the application scenarios of artificial financial intelligence regulation, commercial banking, wealth management and payments, etc., and makes a detailed study of the main scenarios of the application of China's artificial intelligence in the financial field, and also analysis specific application cases of China.With the popularization of smart phones and the rapid development of e-commerce, mobile payment, big data and other technologies are in the ascendant in China in recent years. In particular, artificial intelligence technologies in the form of facial, speech and semantic recognition are showing preliminary advantages in the field of FinTech, and the future era of Intelligent Finance has quietly come. The Chinese government has clearly put forward "China should rely on a robust cycle of domestic demand and innovation as the main driver of the economy while maintaining foreign markets and investors as a second engine of growth", science and technology innovation is the basic motivation of economic and social cycle, to implement the " dual circulation strategy ", it is necessary to understand the key role of scientific and technological innovation in financial innovation services, and improve financial services must be driven by science and technology. There is a natural relationship between artificial intelligence and financial services, because financial services are credit and information intermediaries, and data is the most critical for finance, while artificial intelligence has a super ability in dealing with complex data. At present, many Chinese Banks have applied artificial intelligence to their daily operations and management, such as accurate customer identification, enhanced process tracking, intelligent marketing, and product process transformation, so as to simplify financial service processes and shorten service cycles. In General, this book both pays attention to practical application and theoretical, which is a useful reference book in theoretical research and practical work, and also helps readers to understand the application of intelligent finance in China.

An authoritative guide to the rise of Chinese shadow banking and its systemic implications Shadow Banking in China examines this rapidly growing sector in the Chinese economy, and what it means for your investments. Written by two world-class experts in Chinese banking, including the Chief Advisor to the China Banking Regulatory Commission and former Chairman of the Securities and Futures Commission in Hong Kong, this book is unique in providing true, first-hand perspectives from authorities within the world's largest economy. There is little widely-available information on China's shadow banking developments, and much of it is rife with disparate data, inaccuracies and overblown risks due to definitional and measurement differences. This book clears the confusion by supplying accurate information, on-the-ground context and invaluable national balance sheet analysis you won't find anywhere else. Shadow banking has grown to be a key source of credit in China, and a major component of the economy. This book serves as a primer for analysts and investors seeking real, useful information about the sector to better inform investment decisions. Discover what's driving the growth of shadow banking in China Learn the truth about both real and inflated risks Dig into popular rhetoric and clarify common misconceptions Access valuable data previously not published in English Despite shadow banking's critical influence on the Chinese economy, there have been very few official studies and even fewer books written on the subject. Understanding China's present-day economy and forecasting its future requires an in-depth understanding of shadow banking and its inter-relationship with the banking system and other sectors. Shadow Banking in China provides authoritative reference that will prove valuable to anyone with financial interests in China.

Promoting credit services to small and medium-size enterprises (SMEs) has been a perennial challenge for policy makers globally due to high information costs. Recent fintech developments may be able to mitigate this problem. By leveraging big data or digital footprints on existing platforms, some big technology (BigTech) firms have extended short-term loans to millions of small firms. By analyzing 1.8 million loan transactions of a leading Chinese online bank, this paper compares the fintech approach to assessing credit risk using big data and machine learning models with the bank approach using traditional financial data and scorecard models. The study shows that the fintech approach yields better prediction of loan defaults during normal times and periods of large exogenous shocks, reflecting information and modeling advantages. BigTech's proprietary information can complement or, where necessary, substitute credit history in risk assessment, allowing unbanked firms to borrow. Furthermore, the fintech approach benefits SMEs that are smaller and in smaller cities, hence complementing the role of banks by reaching underserved customers. With more effective and balanced policy support, BigTech lenders could help promote financial inclusion worldwide.