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This paper analyzes the behavior of gross capital inflows across 34 emerging markets (EMs). We first confirm that aggregate inflows to EMs co-move considerably. We then report three findings: (i) the aggregate co-movement conceals significant heterogeneity across asset types as only bank-related and portfolio bond and equity inflows do co-move; (ii) while global push factors in advanced economies mostly explain the common dynamics, their relative importance varies by type of flow; and (iii) the sensitivity to common dynamics varies significantly across borrower countries, with market structure characteristics (especially the composition of the foreign investor base and the level of liquidity) rather than borrower country’s institutional fundamentals strongly affecting sensitivities. Countries relying more on international funds and global banks are found to be more sensitive to push factors. Our findings suggest that EMs need to closely monitor their lenders and investors to assess their inflow exposures to global push factors.
We study the interrelationship between capital flows, returns, dividend yields and world interest rates in 20 emerging markets. We estimate a vector autoregressionn with these variables to measure the degree to which lower interest rates contribute to increased capital flows and shocks in flows affect the cost of capital among other dynamic relations. We precede the VAR analysis by a detailed examination of endogenous break points in capital flows and the other variables. These structural breaks are traced to the liberalization of emerging equity markets. Our evidence of structural breaks call into question past research which estimates VAR models over the full sample. After a liberalization, we find that equity flows increase by 1.4% of market capitalization. We also show that shocks in equity flows initially increase returns which is consistent with a price pressure hypothesis. While the effect is diminished over time, there also appears to be a permenant impact. This is consistent with our finding that our proxy for the cost of capital, dividend yields, decreases. Finally, our analysis of the transitition dynamics from pre-liberalization to post-liberalization suggests that when capital leaves, it leaves faster than it came in. These results may help us understand the dynamics of the recent crises in Latin America and East Asia.
An interesting disconnect has taken shape between local currency- and hard currency-denominated bonds in emerging markets with respect to their portfolio flows and prices since the start of the recovery from the COVID-19 pandemic. Emerging market assets have recovered sharply from the COVID-19 sell-off in 2020, but the post-pandemic recovery in 2021 has been highly uneven. This note seeks to answer why. Yields of local currency-denominated bonds have risen faster and are approaching their pandemic highs, while hard currency bond yields are still near their post-pandemic lows. Portfolio flows to local currency debt have similarly lagged flows to hard currency bonds. This disconnect is closely linked to the external environment and fiscal and inflationary pressures. Its evolution remains a key consideration for policymakers and investors, since local markets are the main source of funding for emerging markets. This note draws from the methodology developed in earlier Global Financial Stability Reports on fundamentals-based asset valuation models for funding costs and forecasting models for capital flows (using the at-risk framework). The results are consistent across models, indicating that local currency assets are significantly more sensitive to domestic fundamentals while hard currency assets are dependent on the external risk sentiment to a greater extent. This suggests that the post-pandemic, stressed domestic fundamentals have weighed on local currency bonds, partially offsetting the boost from supportive global risk sentiment. The analysis also highlights the risks emerging markets face from an asynchronous recovery and weak domestic fundamentals.
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.
This paper assesses empirically the key drivers of private capital flows to a large sample of emerging market economies in the last decade. It analyzes the effect of the global financial cycle, measured by the VIX, on capital flows and investigates the role of fundamentals and country characteristics in mitigating or amplifying its effect. Using interaction models, we find the effect of the VIX to be non-linear. For low levels of the VIX, capital flows are driven by fundamental factors. During periods of stress, the VIX becomes the dominant driver of capital flows while other determinants, with the exception of interest rate differentials, lose statistical significance. Our results also suggest that the effect of global financial conditions on gross private capital flows increases with the host country’s level of financial sector development. Finally, our results imply that countries cannot fully insulate themselves from global financial shocks, unless creating a fragmented global financial system.
Emerging markets have received a particular attention of academic researchers and practitioners since they decided to open their domestic capital markets to foreign participants about three decades ago. At the same time, we remark that theoretical and empirical research in emerging stock markets has been particularly challenged by their fast changes in nature and size under the effects of financial liberalization and reforms. This evolving feature has particularly led to a commensurate increase in sophistication of modeling techniques used for understanding financial markets. In this spirit, the book aims at providing the audience a comprehensive understanding of emerging stock markets in various aspects using modern financial econometric methods. It addresses the empirical techniques needed by economic agents to analyze the dynamics of these markets and illustrates how they can be applied to the actual data. On the other hand, it presents and discusses new research findings and their implications.
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.
Emerging markets in real estate investing have been an increasing focus for institutional real estate investors worldwide. Part of the Fabozzi series, this book is an insightful overview of international real estate focusing on three of the BRICs: China, India, and Brazil. The authors provide a framework for thinking about these dynamic markets characterized by youthful populations, extraordinary demand, capital inefficiency, and aspiration. Also discussed are the sociopolitical issues, policy, and entry/exit strategies. Notably, the book makes a sanguine assessment of the risks and opportunities of alternative strategies in each country.
The best way to select emerging markets to exploit is to evaluate their size or growth potential, right? Not according to Krishna Palepu and Tarun Khanna. In Winning in Emerging Markets, these leading scholars on the subject present a decidedly different framework for making this crucial choice. The authors argue that the primary exploitable characteristic of emerging markets is the lack of institutions (credit-card systems, intellectual-property adjudication, data research firms) that facilitate efficient business operations. While such "institutional voids" present challenges, they also provide major opportunities-for multinationals and local contenders. Palepu and Khanna provide a playbook for assessing emerging markets' potential and for crafting strategies for succeeding in those markets. They explain how to: · Spot institutional voids in developing economies, including in product, labor, and capital markets, as well as social and political systems · Identify opportunities to fill those voids; for example, by building or improving market institutions yourself · Exploit those opportunities through a rigorous five-phase process, including studying the market over time and acquiring new capabilities Packed with vivid examples and practical toolkits, Winning in Emerging Markets is a crucial resource for any company seeking to define and execute business strategy in developing economies.