04456nam a22006255i 4500 978-981-97-1029-4 DE-He213 20251030111726.0 cr nn 008mamaa 240318s2024 si | s |||| 0|eng d 9789819710294 978-981-97-1029-4 10.1007/978-981-97-1029-4 doi QA276-280 PBT bicssc K bicssc BUS061000 bisacsh PBT thema K thema Zhang, Nan. author. aut http://id.loc.gov/vocabulary/relators/aut 73238 Global Flow of Funds Analysis [electronic resource] : Data, Models, and Applications / by Nan Zhang, Yiye Zhang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 297 p. 63 illus., 55 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Statistics . 65982 Statistics. 65982 Artificial intelligence Data processing. Capital market. 59069 International finance. 57834 Financial risk management. 59046 Statistics in Business, Management, Economics, Finance, Insurance. 69738 Statistical Theory and Methods. Data Science. Capital Markets. 70943 International Finance. 57834 Risk Management. 59047 Zhang, Yiye. author. aut http://id.loc.gov/vocabulary/relators/aut 73239 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819710287 Printed edition: 9789819710300 Printed edition: 9789819710317 https://doi.org/10.1007/978-981-97-1029-4 ZDB-2-SMA ZDB-2-SXMS 58406 58406