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

本研究提出了一种新的统计方法来衡量GFF，并建立了一个新的统计模型的基础上的经济理论的GFF。它还讨论了建立全球森林调查所需的数据源和数据集的整合。通过实证分析，建立了基于W-t-W的G20统计矩阵，探讨了GFFM的分析方法，并对G20国家在GFF中的影响力和敏感度进行了测算。为了观察GFFM与目标国家部门之间的关系，使用其FA和部门数据建立了G-3经济体的部门FFSM。本文将全球资金流模型（GFFM）和全球资金流模型（FFSM）视为金融网络，将网络分析方法引入到GFF分析中，构建了一个具有可操作性的统计体系框架，是本文的创新之处。因此，表2中包含的数据使GFF成为现实，连接表10中的有用指标，并整合GFFM和FFSM的系统分析。因此，可以建立其他金融工具矩阵，以满足决策当局的需要。

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.