During 2020 the MPC announced a further £450 billion of QE purchases, slightly more than the total amount of assets purchased over the preceding ten years, taking the target QE stock to £875 billion of gilt holdings and £20 billion of sterling investment-grade corporate bonds. We study the high-frequency reaction of gilt markets to these QE announcements in light of the surprises to market expectations of the future QE path. We find the yield reactions to be broadly consistent with news about the expected medium-term stock of QE. This is in line with recent commentary, which has focused on the ‘pace of purchases’, as a faster/slower pace translated into a larger/lower stock of expected purchases, and could capture the effects of the local supply channel. The reaction to news about purchase pace could also be potentially consistent with an impact on expected liquidity premia or expected policy rates.
The right stance for monetary policy is highly uncertain, and so it is no surprise that members of monetary policy committees – like the Bank of England’s Monetary Policy Committee (MPC) – regularly disagree about the best course of action. Asking a committee to decide allows different opinions to be aired and challenged, with a majority vote needed to determine policy. But how should we expect those disagreements and votes to change in periods of higher uncertainty? Should we expect more 9–0 unanimous votes? Or more 5–4 close contests? We address these questions in this post and find that the degree of disagreement is little changed in periods of high uncertainty, and nor are dissenting votes. There is, however, some difference in how voting decisions are formed when uncertain, with both individual and committee-wide views having less explanatory power for votes.
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.
The Covid shock has created substantial and unprecedented challenges for monetary policymakers. This post summarises the key literature on the immediate monetary policy response to the shock, including both tools and short to medium-term strategy issues (but leaving aside the longer-term question of fiscal-monetary interactions).
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.
It has been well established that macroeconomic outcomes, such as recessions and unemployment, can have important impacts on households’ well-being. So it follows that monetary policy decisions can affect happiness too. In a recent working paper we use a novel approach to assess how the unprecedented loosening in monetary policy in response to the 2008 global financial crisis affected the well-being of UK households. The framework we use could be used to assess the welfare implications of other monetary policy responses, including to the spread of Covid-19 during 2020.
Over the last 15 years house prices have increased and home-ownership rates have fallen. But while the *number* of first-time buyers (FTBs) has fallen – what happened to the average *age* of FTBs? Not very much…
In the wake of Covid-19 lockdown, macroeconomic policymakers have to deal not only with the immediate contraction in the economy, but also with the medium and longer term macro-consequences. Over the past four months, the macroeconomic literature on these topics has expanded rapidly. This post reviews the literature that considers the channels via which the shock affects the economy, and the macroeconomic policy options for dealing with the aftermath, taking as given the shock caused by the virus and the lockdown.
Dave Altig, Scott Baker, Jose Maria Barrero, Nick Bloom, Philip Bunn, Scarlet Chen, Steven J. Davis, Julia Leather, Brent Meyer, Emil Mihaylov, Paul Mizen, Nick Parker, Thomas Renault, Pawel Smietanka and Greg Thwaites.
The unprecedented scale and nature of the COVID-19 crisis has generated an extraordinary surge in economic uncertainty. In a recent paper we review what has happened to different indicators of uncertainty in the US and UK before and during the COVID-19 pandemic. Three results emerge. All of the indicators that we consider show huge jumps in uncertainty in reaction to the pandemic and its economic fallout. Most indicators reach their highest values on record, although the extent of the increases differ. The time paths also differ: implied stock market volatility rose rapidly from late February, peaked in mid-March, and fell back by late March as stock prices partly recovered. In contrast, broader measures peaked later.
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.