Ed Manuel, Alice Pugh, Anina Thiel, Tugrul Vehbi and Seb Vismara
Average tariffs on goods traded between the US and China increased by 15 percentage points from early 2018 to 2019. By making it more costly to buy goods from abroad, higher tariffs have reduced global trade flows and spending by households and businesses. But ‘direct’ effects of tariffs are not the only ways in which trade-related issues can affect global growth. Trade-related uncertainty has risen sharply since the escalation of trade tensions in 2018, which may have caused businesses to postpone costly investment decisions and financial conditions to tighten. In this post we investigate the size of these ‘indirect’ channels.
Robert Hills, Simon Lloyd, Rhiannon Sowerbutts, Dennis Reinhardt, Matthieu Bussière, Baptiste Meunier and Justine Pedrono
Large amounts of capital flow across borders. But these can be destabilising. So can recipient countries employ prudential policies to offset monetary policy changes in centre countries? And does it matter where sending banks are located? Our findings suggest it does. Our case study of French banks operating in London – part of a broader international initiative – suggests prudential policies have a much bigger offsetting effect on French banks’ lending out of the UK’s financial centre than on their lending out of headquarters in France. In line with those observations, we uncover evidence of a ‘London Bridge’ in cross-border lending: the way French banks channel funds to the UK is responsive to prudential policies in the rest of the world.
Emerging markets (EMs) have become more exposed to the global financial cycle in recent years. Positive liquidity shocks – that is, a loosening of global funding market conditions – have led to exchange rate appreciations, reductions in long-term bond yields, stock market booms, and increased gross capital flows to EMs (Bhattarai et al (2018)). Negative liquidity shocks on the other hand constitute a tightening of financial conditions, reducing lending and real investment (Bruno and Shin (2015) and Avdjiev et al (2018)).
Michael Kumhof, Phurichai Rungcharoenkitkul and Andrej Sokol
Understanding gross capital flows is crucial for both macroeconomic and financial stability policy. However, theory is lagging behind empirical work, as much of the literature continues to rely on net capital flow models developed many decades ago. Missing from these models is an explicit tracking of the financial records underlying all goods and asset purchases, namely gross balance sheet positions, which in turn requires modelling the principal medium of exchange, bank deposits. Our new model features gross capital flows and offers a fresh perspective on important policy debates, such as the role of current accounts as indicators of financial fragility, the nature of the global saving glut, Triffin’s current account dilemma, and the synchronisation of gross capital inflows and outflows.
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.