LEADER 04271nam 22006735 450 001 9910845091903321 005 20240320040721.0 010 $a981-9710-29-4 024 7 $a10.1007/978-981-97-1029-4 035 $a(CKB)30977435900041 035 $a(MiAaPQ)EBC31222065 035 $a(Au-PeEL)EBL31222065 035 $a(DE-He213)978-981-97-1029-4 035 $a(EXLCZ)9930977435900041 100 $a20240318d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGlobal Flow of Funds Analysis$b[electronic resource] $eData, Models, and Applications /$fby Nan Zhang, Yiye Zhang 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (311 pages) 311 $a981-9710-28-6 327 $aMeasuring 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. 330 $aThis 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. 606 $aStatistics 606 $aArtificial intelligence$xData processing 606 $aCapital market 606 $aInternational finance 606 $aFinancial risk management 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistical Theory and Methods 606 $aData Science 606 $aCapital Markets 606 $aInternational Finance 606 $aRisk Management 615 0$aStatistics. 615 0$aArtificial intelligence$xData processing. 615 0$aCapital market. 615 0$aInternational finance. 615 0$aFinancial risk management. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistical Theory and Methods. 615 24$aData Science. 615 24$aCapital Markets. 615 24$aInternational Finance. 615 24$aRisk Management. 676 $a300.727 700 $aZhang$b Nan$0927837 701 $aZhang$b Yiye$01733464 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845091903321 996 $aGlobal Flow of Funds Analysis$94149322 997 $aUNINA