Fernando Eguren-Martin, Cian O’Neill, Andrej Sokol and Lukas von dem Berge
While planes were grounded, capital flew out of emerging market economies in response to the acceleration in the spread of the virus in the early stages of the Covid-19 pandemic. Was this capital flight predictable once you account for the sudden deterioration in the global financial environment? In this post we present a model that helps to think about how financial conditions and international capital flows are linked. We then apply this methodology to events observed between March and May 2020, and find that the model predicted a large increase in the likelihood of capital flight. However, the scale of outflows was abnormally large even once the sharp tightening in financial conditions is accounted for.
Only a handful of currencies are regularly used for cross-border payments: the euro, the yen, the pound, the yuan and, of course, the US dollar, which dominates almost any measure of international use. But how does a currency achieve an international status in the first place? And which government policies assist in that jump-start? Economic theory and the rise of the renminbi (RMB) in the last decade offer some clues.
The US dollar has a dominant role in the international financial system. The fact that trade and cross-border investment are overwhelmingly dollar-denominated means that non-US banks are heavily reliant on dollar funding (Aldasoro and Ehlers (2018)). This funding dried up during the Covid-19 epidemic, prompting the use of central bank swap lines as a policy response. This post looks at recent research on why dollar funding dried up in March, the efficacy of swap lines and the implications for cross-border banking, exchange rates and the international financial system.
Today’s financial system is global: credit and several financial asset classes show booms and busts across countries, sometimes with severe repercussions to the global economy. Yet it is debated to what extent common dynamics rather than domestic cycles lie behind financial fluctuations and whether the impact of global drivers is growing. In a recent Staff Working Paper, we observe various global financial cycles going as far back as the 19th century. We find that a volatile global equity price cycle is nowadays the main driver of stock prices across advanced economies. Global cycles in credit and house prices have become larger and longer over the last 30 years, having gained relevance in economies that are more financially open and developed.
This post examines how policy in China supported the Chinese economy prior to the Covid-19 pandemic, drawing on a newly developed toolkit. This topic is particularly important for China, where economic developments have a significant impact on the rest of the global economy, but where assessing the full spectrum of policy – monetary, regulatory and fiscal – is difficult. Policy levers in China have evolved alongside a rapidly changing economy, and there is still some uncertainty surrounding which levers are being pulled – and how hard – at any given point in time. This post attempts to paint a clearer picture of Chinese policy by assessing key policy levers and their effects on growth.
The textbook uncovered interest parity (UIP) condition states that the expected change in the exchange rate between two countries over time should be equal to the interest rate differential at that horizon. While UIP appears to hold at longer horizons (around 5-10 years), it is regularly rejected at shorter ones (0-4 years). In a recent paper, we argue that interest rates at other maturities — captured in the slope of the yield curve — reflect information about the pricing of ‘business cycle risks’, which can help explain departures from UIP. A country with a relatively steep yield curve slope will tend to experience a depreciation in excess of the UIP benchmark, at business cycle frequencies especially.
The Covid-19 pandemic has led to both a decline in economic activity that has been propagated across borders through global supply networks, and a rise in barriers to trade between countries. This has led to a rapidly emerging literature seeking to understand the effects of the pandemic on trade. This post surveys some of the key contributions of that literature. Key messages from early papers are that: i) The shock is a hit to both demand and supply, and is thus deeper than what was experienced during the 2008/09 Great Trade Collapse; ii) Global value chains have amplified cross-country spillovers; iii) When supply chains are highly integrated, protectionist measures can disrupt production of medical equipment and supplies; and, hence, iv) Keeping international trade open during the crisis can help to limit the economic cost of the pandemic and foster global growth during the recovery.
The average house in the UK is worth ten times what it was in 1980. Consumer prices are only three times higher. So house prices have more than trebled in real terms in just over a generation. In the 100 years leading up to 1980 they only doubled. Recent commentary on this blog and elsewhere argues that this unprecedented rise in house prices can be explained by one factor: lower interest rates. But this simple explanation might be too simple. In this blog post – which analyses the data available before Covid-19 hit the UK – we show that the interest rates story doesn’t seem to fit all of the facts. Other factors such as credit conditions or supply constraints could be important too.
Prudential policies have grown in popularity as a tool for addressing financial stability risks since the 2007-09 global financial crisis. Yet their effects are still debated, with sanguine and more pessimistic viewpoints. In a recent Bank of England Staff Working Paper, we assess the extent to which emerging market (EM) prudential policies can partially insulate their domestic economies against the spillovers from US monetary policy. Using a database of prudential policies implemented by EMs since 2000, our estimates indicate that each additional prudential policy tightening can dampen the decline in total credit following a US monetary policy tightening by around 20%. This suggests that domestic prudential policies allow EMs to insulate themselves somewhat from global shocks.