Cover IMF Working Papers
Capital Flow Data – A Guide for Empirical Analysis and Real-time Tracking
Author: Mr. Robin Koepkehttps://orcid.org/0000-0002-9308-9619 and Simon Paetzold
Series:
IMF Working Papers
Volume/Issue:
Volume 2020: Issue 171
Language:
English
Publication Date:
21 Aug 2020
DOI:
https://doi.org/10.5089/9781513554495.001
ISBN:
9781513554495
ISSN:
1018-5941
Pages:
47
Keywords:
WP; flow data; portfolio flow; debt flow; flow proxy; IMF balance of payments statistic; portfolio flows; fund flows; balance of payments; coincident indicators; IIF data; IMF balance of payments data; Capital flows; Stocks; Balance of payments statistics; Flow of funds; Emerging and frontier financial markets; Africa; Global
Legal-disclaimer:
IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
Download PDF (1.7 MB) Download Epub
This paper provides an analytical overview of the most widely used capital flow datasets. The paper is written as a guide for academics who embark on empirical research projects and for policymakers who need timely information on capital flow developments to inform their decisions. We address common misconceptions about capital flow data and discuss differences between high-frequency proxies for portfolio flows. In a nowcasting “horse race” we show that high-frequency proxies have significant predictive content for portfolio flows from the balance of payments (BoP). We also construct a new dataset for academic use, consisting of monthly portfolio flows broadly consistent with BoP data.
Cover IMF Working Papers
IMF Working Papers
ISSN:
1018-5941
Publisher:
International Monetary Fund