Research on the analysis methods and the development of global flow of funds statistics

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This study presents a new statistical approach to measure the GFF and establishes a new statistical model based on the economic theory of the GFF. It also discusses the data sources needed to establish the GFFM and the integration of the dataset. A G20 statistical matrix based on W-t-W is established through empirical analysis; the analysis method of GFFM is discussed; and the influence and sensitivity of the G20 countries in GFF are measured. To observe the relationship between the GFFM and the sectors of the target countries, the sectoral FFSM of the G-3 economies is established using their FA and sectoral data. GFFM and FFSM are regarded as financial networks, and the network analysis method is introduced into GFF analysis.The Statistical Template of Global Flow of Funds for a Country, which builds on prior theoretical constructs and is the core of this study, is an innovation because of its provision of an operational statistical system framework. Thus, the data contained in Table 2 make GFF a reality, connect useful metrics in Table 10, and integrate a system analysis of the GFFM and FFSM. Thus, other financial instrument matrices can be constructed to meet the needs of policymaking authorities.