2023 Fiscal Year Final Research Report
Research on the analysis methods and the development of global flow of funds statistics
| Project/Area Number |
20K01701
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 07040:Economic policy-related
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| Research Institution | Hiroshima Shudo University |
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Principal Investigator |
Zhang Nan 広島修道大学, 経済科学部, 教授 (20279061)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | Global flow of funds / Statistical framework / From-whom-to-whom matrix / Financial network / Advanced visualization / Data science / Financial crisis / Shock dynamics |
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| Outline of Final Research Achievements |
This study takes up the consistency with statistics published by international organizations such as the IMF to grasp the Global Flow of Funds (GFF) and measure the risks and stability of GFF, in order to understand the circulation of external funds in one's own country and international capital movements. It prototypes GFF statistics and expands conventional two-dimensional data to three dimensions (Three-dimensional,3D).
Using this 3D data, we expand the scope to include major trading partners centered around GFF and construct a GFF matrix in From-Whom-to-Whom format. Furthermore, to examine structural issues of assets and liabilities between different national sectors and financial stability, we develop Sectoral from-whom-to-whom financial stock matrix (SFSM), and demonstrate new insights into the structural relationships of GFF through the development and empirical research of GFF analysis methods using financial network analysis and data science techniques.
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| Free Research Field |
経済統計学
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| Academic Significance and Societal Importance of the Research Achievements |
This research stands out as the inaugural work dedicated to leveraging data for the observation of Global flow of funds. It has three distinctive features, foremost among them being the integration and advancement of data sources,innovates the 3D data of financial
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