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.

About the Author

Zhigang Qiu is the 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, asset pricing theory, and FinTech. 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 School of Finance, Renmin University of China. Her main research interests are empirical asset pricing and FinTech.

Yue Dai is a PhD student of finance at School of Finance, Renmin University of China, whose main research interest is empirical asset pricing.

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