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Moreno Bertoldi, Paolo Pesenti, Hélène Rey, and Valérie Rouxel-Laxton
On April 18, 2016, the New York Fed hosted a conference on current and future policy directions for the linked economies of Europe and the United States. "The Transatlantic Economy: Convergence or Divergence?"—organized jointly with the Centre for Economic Policy Research and the European Commission—brought together U.S. and Europe-based policymakers, regulators, and academics to discuss a series of important issues: Are the economies of the euro area and the United States on a convergent or divergent path? Are financial regulatory reforms making the banking and financial structures more similar? Will this imply a convergence in macroprudential policies? Which instruments do the United States and the euro area have at their disposal to raise investment, spur productivity, and avoid secular stagnation? In this post, we summarize the principal themes and findings of the conference discussion.
Sushant Acharya, Ozge Akinci, Julien Bengui, and Bianca De Paoli
Prompted by the U.S. financial crisis and subsequent global recession, policymakers in advanced economies slashed interest rates dramatically, hitting the zero lower bound (ZLB), and then implemented unconventional policies such as large-scale asset purchases. In emerging economies, however, the policy response was more subdued since they were less affected by the financial crisis. As a result, capital flows from advanced to emerging economies increased markedly in response to widening interest rate differentials. Some emerging economies reacted by adopting measures to slow down capital inflows, acting under the presumption that these flows were harmful. This type of policy response has reignited the debate over how to moderate international spillovers.
In recent years, policymakers in advanced and emerging economies have employed a variety of macroprudential policy tools—targeted rules or requirements that enhance the stability of the financial system as a whole by addressing the interconnectedness of individual financial institutions and their common exposure to economic risk factors. To examine the foreign experience with these tools, we constructed a novel macroprudential policy (MAPP) index. This index allows us to quantify the effects of these policies on bank credit and house prices, two variables that are often the target of policymakers because of their links to boom-bust leverage cycles. We then used the index in the empirical analysis to measure the effectiveness of these policies in emerging market countries and advanced economies. Our estimates suggest that macroprudential tightening can significantly reduce credit growth and house price appreciation.
China lends to the rest of the world because it saves much more than it needs to fund its high level of physical investment spending. For years, the public sector accounted for this lending through the Chinese central bank’s purchase of foreign assets, but this changed in 2015. The country still had substantial net financial outflows, but unlike in previous years, more private money was pouring out of China than was flowing in. This shift in private sector behavior forced the central bank to sell foreign assets so that the sum of net private and public outflows would equal the saving surplus at prevailing exchange rates. Explanations for this turnaround by private investors include lower returns on domestic investment spending and a less optimistic outlook for China’s currency.
After a period of stability, oil prices started to decline in mid-2015, and this downward trend continued into early 2016. As we noted in an earlier post, it is important to assess whether these price declines reflect demand shocks or supply shocks, since the two types of shocks have different implications for the U.S. economic outlook. In this post, we again use correlations of weekly oil price changes with a broad array of financial variables to quantify the drivers of oil price movements, finding that the decline since mid-2015 is due to a mix of weaker demand and increased supply. Given strong interest in the drivers of oil prices, the oil price decomposition is information we will be sharing in a new Oil Price Dynamics Report on our public website each Monday starting today. We conclude this post using another model that finds that the higher oil supply boosted U.S. economic activity in 2015, though this impact is expected to wear off in 2016.
Changes in exchange rates directly affect import prices. Since the beginning of 2014, the U.S. dollar has strengthened by 17 percent against the currencies of its major trading partners while import prices have fallen by 4 percent. The pass-through from exchange rates into import prices in the United States is estimated to be quite low, at around 30 percent, and this is often attributed to the fact that imports are mostly invoiced in U.S. dollars. In addition to this direct impact of exchange rates on import prices, there can also be an effect on domestic prices. Suppose that a stronger U.S. dollar means that cars imported from Japan will be cheaper for U.S. consumers. If domestic auto producers do not then reduce their U.S. prices they could lose market share. By how much do they adjust their prices? In this post, we draw on a new study—“International Shocks and Domestic Prices: How Large Are Strategic Complementarities?”—that uses micro-level data for Belgian firms to shed light on this question.
Variousnewsreports have asserted that the slowdown in China was a key factor driving down commodity prices in 2015. It is true that China’s growth eased last year and, owing to its manufacturing-intensive economy, that slackening could reasonably have had repercussions for commodity prices. Still, growth in Japan and Europe accelerated in 2015, with the net result that global growth was fairly steady last year, casting doubt on the China slowdown explanation. An alternative story relies on the strong correlation between the dollar and commodity prices over time. A simple regression shows that both global growth and the dollar track commodity prices, and in this framework, it is the rise of the dollar that captures last year’s drop in commodity prices. Thus a forecast of stable global growth and a relatively unchanged dollar suggests little change in commodity prices in 2016.
The world has gone through a process of financial globalization over the past decades, with countries increasing their holdings of foreign assets and liabilities. At the same time, countries have started to have a more positive foreign currency exposure by reducing their bias toward holding assets in domestic currency instead of foreign currency. One possible reason for these changes is that nations view demand shocks as more likely than supply shocks. That is, a dip in output will be accompanied by lower inflation rather than higher inflation. Monetary policy responds to demand shocks by cutting interest rates and letting the domestic currency depreciate. As a consequence, shifting the currency composition of assets and liabilities to increase net foreign currency holdings is a hedging strategy to protect the country’s income and wealth during downturns.
Some banks are quite simple, while others are part of complex multi-layered organizations with affiliates in many industries scattered all around the world. The latter organizations are formally called bank holding companies (BHCs). In this post, we investigate changes in BHC geography, especially the rising share of BHC affiliates in tax havens and financial secrecy jurisdictions. We examine what has happened since 2000, including the period after the 2010 Dodd-Frank Act, which focused attention on the size and complexity of large BHCs. Our analysis complements a growing body of work on large and complex BHCs and their global affiliates, including this blog series based on papers from the Economic Policy Review.
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