01793cas a2200253 a 4500 AALejournalIMF021166 230101c9999 xx r poo 0 0eng d 5.00 USD 9781513554495 1018-5941 BD-DhAAL BD-DhAAL Koepke, Robin. Capital Flow Data : A Guide for Empirical Analysis and Real-time Tracking / Robin Koepke, Simon Paetzold. Washington, D.C. : International Monetary Fund, 2020. 1 online resource (47 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Paetzold, Simon. IMF Working Papers; Working Paper ; No. 2020/171 Full text available on IMF http://elibrary.imf.org/view/journals/001/2020/171/001.2020.issue-171-en.xml IMF e-Library