Ei ole eesti keeles kättesaadav
Fernando Eguren-Martin
- 23 April 2021
- WORKING PAPER SERIES - No. 2538Details
- Abstract
- 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
- 6 April 2020
- WORKING PAPER SERIES - No. 2387Details
- Abstract
- We document how the distribution of exchange rate returns responds to changes in global financial conditions. We measure global financial conditions as the common component of country-specific financial condition indices, computed consistently across a large panel of developed and emerging economies. Based on quantile regression results, we provide a characterisation and ranking of the tail behaviour of a large sample of currencies in response to a tightening of global financial conditions, corroborating (and quantifying) some of the prevailing narratives about safe haven and risky currencies. Our approach delivers a more nuanced picture than one based on standard OLS regression. We then carry out a portfolio sorting exercise to identify the macroeconomic fundamentals associated with such different tail behaviour, and find that currency portfolios sorted on the basis of net foreign asset positions, relative interest rates, current account balances and levels of international reserves display a higher likelihood of large losses in response to a tightening of global financial conditions.
- JEL Code
- F31 : International Economics→International Finance→Foreign Exchange
G15 : Financial Economics→General Financial Markets→International Financial Markets