Low-income countries (LIDCs) are typically characterized by intermittent and very modest access to private external funding sources. Motivated by recent developments in private flows to LIDCs this paper makes two contributions: First, it constructs a new comprehensive dataset on gross private capital flows with special focus on non-FDI flows in LIDCs. Concentrating on LIDCs and more specifically on gross non-FDI private flows is intentionally aimed at closing a gap in existing datasets where country coverage of developing economies is limited mainly to emerging markets (EMs). Second, using the new data, it identifies several shifting patterns of gross non-FDI private inflows to LIDCs. A surprising fact emerges: since the mid 2000's periods of surges in gross non-FDI private inflows in LIDCs are broadly comparable to those of EMs. Moreover, while gross non-FDI inflows to LIDCs are on average much lower than those to EMs, we show that the LIDC top quartile gross non-FDI inflow is comparable to the EM median inflow and converging to the EM top quartile inflow.

This paper examines why surges in capital flows to emerging market economies (EMEs) occur, and what determines the allocation of capital across countries during such surge episodes. We use two different methodologies to identify surges in EMEs over 1980-2009, differentiating between those mainly caused by changes in the country's external liabilities (reflecting the investment decisions of foreigners), and those caused by changes in its assets (reflecting the decisions of residents). Global factors-including US interest rates and risk aversion¡-are key to determining whether a surge will occur, but domestic factors such as the country's external financing needs (as implied by an intertemporal optimizing model of the current account) and structural characteristics also matter, which explains why not all EMEs experience surges. Conditional on a surge occurring, moreover, the magnitude of the capital inflow depends largely on domestic factors including the country's external financing needs, and the exchange rate regime. Finally, while similar factors explain asset- and liability-driven surges, the latter are more sensitive to global factors and contagion.

This book analyzes the process of international financial integration and the structural forces driving private capital to developing countries. Against this background, it details the potential benefits of integration and the implications of fast-moving global capital flows for emerging economics. Examining the experience of countries that have attracted substantial private capital flows, the book provides invaluable guidance as to what works and what doesn't during the transition to financial integration. It will be of compelling interest to policymakers and also to international investors and bankers, financial analysts, and researchers.

We analyse euro area investors' portfolio rebalancing during the ECB's Asset Purchase Programme at the security level. Our empirical analysis shows that euro area investors (in particular investment funds and households) actively rebalanced away from securities targeted under the Public Sector Purchase Programme and other euro-denominated debt securities, towards foreign debt instruments, including `closest substitutes', i.e. certain sovereign debt securities issued by non-euro area advanced countries. This rebalancing was particularly strong during the first six quarters of the programme. Our analysis also reveals marked differences across sectors as well as country groups within the euro area, suggesting that quantitative easing has induced heterogeneous portfolio shifts.

The volatility of capital flows to emerging markets continues to pose challenges to policymakers. In this paper, we propose a new framework to answer critical policy questions: What policies and policy frameworks are most effective in dampening sharp capital flow movements in response to global shocks? What are the near- versus medium-term trade-offs of different policies? We tackle these questions using a quantile regression framework to predict the entire future probability distribution of capital flows to emerging markets, based on current domestic structural characteristics, policies, and global financial conditions. This new approach allows policymakers to quantify capital flows risks and evaluate policy tools to mitigate them, thus building the foundation of a risk management framework for capital flows.