國立高雄大學圖資館 |

登入

回首頁

Global flow of funds analysisdata, models, and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Global flow of funds analysisby Nan Zhang, Yiye Zhang.
其他題名:	data, models, and applications /
作者:	Zhang, Nan.
其他作者:	Zhang, Yiye.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xviii, 297 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Stock-flow analysis.
電子資源:	https://doi.org/10.1007/978-981-97-1029-4
ISBN:	9789819710294$q(electronic bk.)

Global flow of funds analysisdata, models, and applications /
Zhang, Nan.

Global flow of funds analysisdata, models, and applications /[electronic resource] :by Nan Zhang, Yiye Zhang. - Singapore :Springer Nature Singapore :2024. - xviii, 297 p. :ill., digital ;24 cm.

Measuring Global Flow of Funds: Data Sources, Statistical Framework, and Approaches -- Global Flow of Funds as a Network: The Case Study of the G20 -- Structural Changes in China-US External Flow of Funds: Estimates Based on VEC Model -- A Network Analysis of Sectoral FFSM: Identifying Interlinkages in China, Japan, and the U.S. -- Strategic Challenges of Decoupling for China and the United States: focus on the Global Flow of Funds.

This book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts and establishing a theoretical framework for analysis. It connects the flow of funds within domestic economies to that of the rest of the world, offering a comprehensive analysis of GFF dynamics. This study enhances GFF statistics, enabling the assessment of global financial stability from both national and cross-border sectoral perspectives. The GFF data provide valuable insights into analyzing interconnectivity across borders and an understanding of global financial interdependencies. By examining the data sources and reconstructing the statistical framework to establish the GFF statistical matrix, this book conducts a case study to evaluate financial risks and influences in G20 countries. Subsequently, it connects the GFF matrix with sectoral account data and the flow of funds to establish the sectoral from-whom-to-whom financial stock matrix (SFSM) The SFSM aims to establish a new framework for conducting multi-country, multi-sector analysis within the G20, with a special emphasis on examining the national and cross-border exposures of sectors in China, Japan, and the USA. This involves constructing country-specific financial networks and connecting them based on cross-border exposures. The systematic analysis results effectively showcase the financial interconnections among G20 countries within the GFF and shed light on the attributes of external shocks and internal influences. The focus is particularly on the changes in risk exposure between China and the USA concerning their external assets and liabilities and the implications of economic decoupling of these dynamics.

ISBN: 9789819710294$q(electronic bk.)

Standard No.: 10.1007/978-981-97-1029-4doiSubjects--Topical Terms:

564427
Stock-flow analysis.

LC Class. No.: HB141

Dewey Class. No.: 330.015195

Global flow of funds analysisdata, models, and applications /
LDR:03204nmm a22003495a 4500 001 665321
003 DE-He213
005 20240320040721.0
006 m d
007 cr nn 008maaau
008 241219s2024 si s 0 eng d
020 $a 9789819710294$q(electronic bk.)
020 $a 9789819710287$q(paper)
024 7 $a 10.1007/978-981-97-1029-4 $2 doi
035 $a 978-981-97-1029-4
040 $a GP $c GP
041 0 $a eng
050 4 $a HB141
072 7 $a PBT $2 bicssc
072 7 $a K $2 bicssc
072 7 $a BUS061000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a K $2 thema
082 0 4 $a 330.015195 $2 23
090 $a HB141 $b .Z63 2024
100 1 $a Zhang, Nan. $3 801370
245 1 0 $a Global flow of funds analysis $h [electronic resource] : $b data, models, and applications / $c by Nan Zhang, Yiye Zhang.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xviii, 297 p. : $b ill., digital ; $c 24 cm.
505 0 $a Measuring Global Flow of Funds: Data Sources, Statistical Framework, and Approaches -- Global Flow of Funds as a Network: The Case Study of the G20 -- Structural Changes in China-US External Flow of Funds: Estimates Based on VEC Model -- A Network Analysis of Sectoral FFSM: Identifying Interlinkages in China, Japan, and the U.S. -- Strategic Challenges of Decoupling for China and the United States: focus on the Global Flow of Funds.
520 $a This book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts and establishing a theoretical framework for analysis. It connects the flow of funds within domestic economies to that of the rest of the world, offering a comprehensive analysis of GFF dynamics. This study enhances GFF statistics, enabling the assessment of global financial stability from both national and cross-border sectoral perspectives. The GFF data provide valuable insights into analyzing interconnectivity across borders and an understanding of global financial interdependencies. By examining the data sources and reconstructing the statistical framework to establish the GFF statistical matrix, this book conducts a case study to evaluate financial risks and influences in G20 countries. Subsequently, it connects the GFF matrix with sectoral account data and the flow of funds to establish the sectoral from-whom-to-whom financial stock matrix (SFSM) The SFSM aims to establish a new framework for conducting multi-country, multi-sector analysis within the G20, with a special emphasis on examining the national and cross-border exposures of sectors in China, Japan, and the USA. This involves constructing country-specific financial networks and connecting them based on cross-border exposures. The systematic analysis results effectively showcase the financial interconnections among G20 countries within the GFF and shed light on the attributes of external shocks and internal influences. The focus is particularly on the changes in risk exposure between China and the USA concerning their external assets and liabilities and the implications of economic decoupling of these dynamics.
650 0 $a Stock-flow analysis. $3 564427
650 0 $a Stock exchanges. $3 185899
650 1 4 $a Statistics in Business, Management, Economics, Finance, Insurance. $3 913173
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Data Science. $3 913495
650 2 4 $a Capital Markets. $3 741694
650 2 4 $a International Finance. $3 774184
650 2 4 $a Risk Management. $3 297189
700 1 $a Zhang, Yiye. $3 978129
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-97-1029-4
950 $a Mathematics and Statistics (SpringerNature-11649)