Fintech and Financial Risk in China (eBook)

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.

Zhigang Qiu is the associate dean and associate professor at School of Finance, Renmin University of China. He obtained his PhD from the London School of Economics and Political Science in the UK. His main research interests are delegated portfolio management, theories of asset pricing, fintech, and asset securitization. He has published his work in leading academic journals such as the Journal of Economic Theory, the Journal of Financial and Quantitative Analysis (single author), and the Journal of Banking and Finance.

Xiaolin Huo is a PhD student of finance at Hanqing Advanced Institute of Economics and Finance, Renmin University of China. Her main research interests are empirical asset pricing and behavior finance. She obtained national scholarship during her PhD program.

Yue Dai is a PhD student of finance at Hanqing Advanced Institute of Economics and Finance, Renmin University of China, whose main research interest is asset pricing.

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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.