Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288216 
Year of Publication: 
2022
Citation: 
[Journal:] International Journal of Finance & Economics [ISSN:] 1099-1158 [Volume:] 29 [Issue:] 1 [Publisher:] John Wiley & Sons, Ltd. [Place:] Chichester, UK [Year:] 2022 [Pages:] 311-331
Publisher: 
John Wiley & Sons, Ltd., Chichester, UK
Abstract: 
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.
Subjects: 
balance of payments
coincident indicators
fund flows
portfolio flows
capital flow guide
real‐time tracking
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Document Version: 
Published Version

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