國立高雄大學圖資館 |

登入

回首頁

Big data finance in China

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data finance in Chinaby Mengyao Lin, Wei Chen, Wenting Zhang.
作者:	Lin, Mengyao.
其他作者:	Chen, Wei.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xii, 175 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	FinanceData processing.China
電子資源:	https://doi.org/10.1007/978-981-97-7981-9
ISBN:	9789819779819$q(electronic bk.)

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$q(electronic bk.)

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

982223
Finance
--Data processing.--China

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

Dewey Class. No.: 332.0951

Big data finance in China
LDR:02629nmm a2200337 a 4500 001 669313
003 DE-He213
005 20240927130242.0
006 m d
007 cr nn 008maaau
008 250120s2024 si s 0 eng d
020 $a 9789819779819$q(electronic bk.)
020 $a 9789819779802$q(paper)
024 7 $a 10.1007/978-981-97-7981-9 $2 doi
035 $a 978-981-97-7981-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HG187.C6 $b L56 2024
072 7 $a KFFD $2 bicssc
072 7 $a BUS051000 $2 bisacsh
072 7 $a KFFD $2 thema
082 0 4 $a 332.0951 $2 23
090 $a HG187.C6 $b L735 2024
100 1 $a Lin, Mengyao. $3 982222
245 1 0 $a Big data finance in China $h [electronic resource] / $c by Mengyao Lin, Wei Chen, Wenting Zhang.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
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.
650 0 $a Finance $z China $x Data processing. $3 982223
650 0 $a Big data. $3 609582
650 1 4 $a Public Finance. $3 739648
650 2 4 $a Big Data. $3 760530
700 1 $a Chen, Wei. $3 374272
700 1 $a Zhang, Wenting. $3 908648
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Contributions to finance and accounting. $3 888990
856 4 0 $u https://doi.org/10.1007/978-981-97-7981-9
950 $a Economics and Finance (SpringerNature-41170)