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Lukas von dem Berge

23 April 2021
We characterise the probability distributions of various categories of gross capital flows conditional on information contained in financial asset prices in a panel of emerging market economies, with a focus on ‘tail’ events. Our framework, based on the quantile regression methodology, allows for a separate role of push- and pull-type factors, and because it is based on high-frequency data, can quantify the likelihood of different outturns before official capital flows data are released. We find that both push and pull factors have heterogeneous effects across the distributions of gross capital flows, which are most marked in the left tails. We also explore the role of various policies, and find that macroprudential and capital flows management measures are stabilising, leading to lower chances of either large portfolio inflows or out flows.
JEL Code
F32 : International Economics→International Finance→Current Account Adjustment, Short-Term Capital Movements
F34 : International Economics→International Finance→International Lending and Debt Problems
G15 : Financial Economics→General Financial Markets→International Financial Markets