Measuring Global Flow of Funds: Integrated Framework, Data Sources, and Approaches

Nan Zhang ()
Additional contact information
Nan Zhang: Hiroshima Shudo University, Faculty of Economic Sciences

Chapter Chapter 7 in Flow of Funds Analysis, 2020, pp 257-281 from Springer

Abstract: Abstract This chapter aims to provide a trial measurement for the global flow of funds (GFF), as discussed in four portions. First, the paper will define GFF to determine its statistical domains. Second, the document sets out the ideas and existing data sources and integrates them to measure GFF. These concepts and data sources are reflected in the balance of payments, international investment position (IIP), the Coordinated Direct Investment Survey (CDIS), the Coordinated Portfolio Investment Survey, the consolidated banking statistics (CBS), and the rest of the world account. Third, the balance sheet approach is used to break down the rest of the world into IIP components. An external statistics’ matrix (metadata) exercise shows the available external-sector financial data based on the IIP concept. Fourth, big data technology (BDT) was explored to integrate the data sources, and improve the timeliness of the existing data transmission, and illustrate how the GFF matrix operates.

Keywords: Global flow of funds; Integrating framework; Data sources; Big data; Who-to whom; Statistics’ matrix (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-7720-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9789811577208

DOI: 10.1007/978-981-15-7720-8_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().