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Big data finance in China

Lin, Mengyao.

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Big data finance in China

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data finance in China/ by Mengyao Lin, Wei Chen, Wenting Zhang.
Author:	Lin, Mengyao.
other author:	Chen, Wei.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xii, 175 p. :ill., digital ;24 cm.
[NT 15003449]:	The Upcoming Era of Data Elements -- Underlying Theories of Big Data Finance -- Data Mining in Big Data Finance -- Global Developments of Big Data Finance -- Big Data Application in Chinas Banking Industry -- Big Data Application in China's Insurance Industry -- Big Data Application in Chinas Securities Industry -- Big Data Application in China's Third Party Payment Market -- Risks Underlying Big Data Finance and What Shall Our Responses Be.
Contained By:	Springer Nature eBook
Subject:	Finance - Data processing. - China -
Online resource:	https://doi.org/10.1007/978-981-97-7981-9
ISBN:	9789819779819

Big data finance in China
Lin, Mengyao.

Big data finance in China[electronic resource] /by Mengyao Lin, Wei Chen, Wenting Zhang. - Singapore :Springer Nature Singapore :2024. - xii, 175 p. :ill., digital ;24 cm. - Contributions to finance and accounting,2730-6046. - Contributions to finance and accounting..

The Upcoming Era of Data Elements -- Underlying Theories of Big Data Finance -- Data Mining in Big Data Finance -- Global Developments of Big Data Finance -- Big Data Application in Chinas Banking Industry -- Big Data Application in China's Insurance Industry -- Big Data Application in Chinas Securities Industry -- Big Data Application in China's Third Party Payment Market -- Risks Underlying Big Data Finance and What Shall Our Responses Be.

This book starts by introducing the background of the era of data elements, clarifies the theoretical basis and technical methods related to big data, and analyzes the specific application of big data technology in China's banking industry, the insurance industry, securities investment industry, third-party payment, risk supervision, and other fields. application, and thereby finally summarize useful experiences for big data development as well as effective regulation and supervision. We hope that this book can help with subsequent research and application of big data technology in the financial field. This book has a broad audience, especially scholars and practitioners. It is a valuable reference for researchers in related fields, and it can also provide some insights into financial regulators' awareness of big data finance. Furthermore, it aids in formulating and improving consumption policies, adjusting economic structures, and preventing risks under financial innovation. This research provides valuable guidance for improving financial innovation as well as the effective regulation thereon by financial regulators.

ISBN: 9789819779819

Standard No.: 10.1007/978-981-97-7981-9doiSubjects--Topical Terms:

3724198
Finance
--Data processing.--China

LC Class. No.: HG187.C6 / L56 2024

Dewey Class. No.: 332.0951

Big data finance in China
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300 $a xii, 175 p. : $b ill., digital ; $c 24 cm.
490 1 $a Contributions to finance and accounting, $x 2730-6046
505 0 $a The Upcoming Era of Data Elements -- Underlying Theories of Big Data Finance -- Data Mining in Big Data Finance -- Global Developments of Big Data Finance -- Big Data Application in Chinas Banking Industry -- Big Data Application in China's Insurance Industry -- Big Data Application in Chinas Securities Industry -- Big Data Application in China's Third Party Payment Market -- Risks Underlying Big Data Finance and What Shall Our Responses Be.
520 $a This book starts by introducing the background of the era of data elements, clarifies the theoretical basis and technical methods related to big data, and analyzes the specific application of big data technology in China's banking industry, the insurance industry, securities investment industry, third-party payment, risk supervision, and other fields. application, and thereby finally summarize useful experiences for big data development as well as effective regulation and supervision. We hope that this book can help with subsequent research and application of big data technology in the financial field. This book has a broad audience, especially scholars and practitioners. It is a valuable reference for researchers in related fields, and it can also provide some insights into financial regulators' awareness of big data finance. Furthermore, it aids in formulating and improving consumption policies, adjusting economic structures, and preventing risks under financial innovation. This research provides valuable guidance for improving financial innovation as well as the effective regulation thereon by financial regulators.
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700 1 $a Zhang, Wenting. $3 3521985
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