The long-run volatility puzzle of the real exchange rate

This paper documents large cross-country differences in the long run volatility of the real exchange rate. In particular, it shows that the real exchange rate of developing countries is approximately three times more volatile than the real exchange rate in industrial countries. The paper tests whether this difference in volatility can be explained by the fact that developing countries face larger shocks (both real and nominal) and recurrent currency crises or by different elasticities to these shocks. It finds that the magnitude of the shocks and the differences in elasticities can only explain a small part of the difference in RER volatility between developing and industrial countries. Results from ARCH estimations confirm that there is a substantial difference in long term volatilities between these two sets of countries and indicate that there is also a much higher persistence of deviations of the variance of the RER from its long run value when the economy suffers shocks of various kinds.

Why the US Current Account Deficit is Sustainable

The Valuation of Hidden Assets in Foreign Transactions: Why ‘Dark Matter’ Matters

This paper clarifies how the valuation of hidden assets—what we call “dark matter”—changes our assessment of the U.S. external imbalance. Dark matter assets are defined as the capitalized value of the return privilege obtained by U.S. assets. Because this return privilege has been steady over recent decades, it is likely to persist in the future or even to increase, as it becomes leveraged by an increasingly globalized world. Once this is included in future projections of U.S. current accounts, the U.S. external position looks much more balanced than depicted in official statistics.

What You Export Matters

When local cost discovery generates knowledge spillovers, specialization patterns become partly indeterminate and the mix of goods that a country produces may have important implications for economic growth. We demonstrate this proposition formally and adduce some empirical support for it. We construct an index of the “income level of a country’s exports,” document its properties, and show that it predicts subsequent economic growth.

The Product Space Conditions the Development of Nations

Economies grow by upgrading the products they produce and export. The technology, capital, institutions, and skills needed to make newer products are more easily adapted from some products than from others. Here, we study this network of relatedness between products, or “product space,” finding that more-sophisticated products are located in a densely connected core whereas less-sophisticated products occupy a less-connected periphery. Empirically, countries move through the product space by developing goods close to those they currently produce. Most countries can reach the core only by traversing empirically infrequent distances, which may help explain why poor countries have trouble developing more competitive exports and fail to converge to the income levels of rich countries.

The Missing Dark Matter in the Wealth of Nations and Its Implications for Global Imbalances

Current account statistics may not be good indicators of the evolution of a country’s net foreign assets and of its external position’s sustainability. The value of existing assets may vary independently of current account flows, so-called ‘return privileges’ may allow some countries to obtain abnormal returns, and mismeasurement of FDI, unreported trade of insurance or liquidity services, and debt relief may also play a role. We analyse the relevant evidence in a large set of countries and periods, and examine measures of net foreign assets obtained by capitalizing the net investment income and then estimating the current account from the changes in this stock of foreign assets. We call dark matter the difference between our measure of net foreign assets and that measured by official statistics. We find it to be important for many countries, analyse its relationship with theoretically relevant factors, and note that the resulting perspective tends to make global net asset positions appear relatively stable.

The Growing Current Account Surpluses in East Asia: The Effect of Dark Matter Assets

In a series of papers we have developed the notion that net foreign assets could be better approximated by capitalizing the net investment income line of the balance of payments statistics. Hidden assets or changes in financial costs may change the net return of net foreign assets even when the valuation of assets remains unchanged. By capitalizing the net investment income a more realistic picture emerges on the true burden or return of net foreign assets. This paper estimates external positions for East Asian economies using this methodology and compares the results with that of official accounts. We find that, until the late 1990s, net investment income increased relatively little, signaling that net foreign assets had not grown as suggested by the large current account surpluses of these countries. This is consistent with the fact that the region had attracted large amounts of foreign direct investment, for which the transfer of technology and knowledge are not accurately captured by the valuation of the foreign asset position. Since 2002, however, the trend has reversed, indicating much larger surpluses than officially registered. We discuss individual country cases.

A Network View of Economic Development

Does the type of product a country exports matter for subsequent economic performance? To take an example from the 19th-century economist David Ricardo, does it matter if Britain specializes in cloth and Portugal in wine for the subsequent development of either country? The seminal texts of development economics held that it does matter, suggesting that industrialization creates externalities that lead to accelerated growth (Rosenstein-Rodan 1943; Hirschman 1958; Matsuyama 1992). Yet, lacking formal models, mainstream economic theory has made little of these ideas. Instead, current dominant theories use two approaches to explain countries’ patterns of specialization.

Fool’s Gold: On the Impact of Venezuelan Devaluations in Multinational Stock Prices

This paper documents negative cumulative abnormal returns (CARs) to five exchange rate devaluations in Venezuela within the context of stiff exchange controls and large black-market premiums, using daily stock prices for 110 multinational corporations with Venezuelan subsidiaries. The results suggest evidence of statistically and economically significant negative CARs of up to 2.07 percent over the ten-day event window. We find consistent results using synthetic controls to causally infer the effect of each devaluation on the stock prices of global firms active in the country at the time of the event. Our results are at odds with the predictions of the efficient market hypothesis stating that predictable devaluations should not affect the stock prices of large multinational companies on the day of the event, and even less so when they happen in small countries. We interpret these results as a suggestive indication of market inefficiencies in the process of asset pricing.

Productivity Gap and Inward FDI Spillovers: Theory and Evidence from China

This paper constructs a two-stage sequential game model to shed light on the spillover effect of inward FDI on the efficiency of domestic firms in host countries. Our model shows that, given an optimal joint-venture policy made by foreign firms, the impact of the spillover effect of inward FDI is contingent upon the productivity gap between the domestic firms and foreign ones. In particular, we demonstrate that the spillover effect of inward FDI varies negatively with the productivity gap between domestic low-productivity firms and foreign firms but works in the opposite way for high-productivity firms. This suggests that once the productivity gap widens, the entry of foreign firms will increase the efficiency of high-productivity firms but reduce the efficiency of low-productivity firms. In support of our theoretical model, we provide robust empirical results by using the dataset of annual survey of Chinese industrial enterprises.