Julia Giese and Matt Roberts-Sklar.
Government bond yields rose sharply in the UK in October 2016, following increased concerns about ‘hard Brexit’, and in the US since the presidential election in early November 2016. This chart puts these increases into historical perspective: moves in 10-year UK gilts and 10-year US Treasuries were of a similar magnitude to the 2013 US ‘taper tantrum’, the 2015 German ‘bund tantrum’, as well as in the so-called ‘bond massacre’ during the US 1994 tightening cycle.
Real interest rates have fallen by around 5 percentage points since the 1980s. Many economists attribute this to “secular” trends such as a structural slowdown in global growth, changing demographics and a fall in the relative price of capital goods which will hold equilibrium rates low for a decade or more (Eggertsson et al., Summers, Rachel and Smith, and IMF). In this blog post, I argue this explanation is wrong because it’s at odds with pre-1980s experience. The 1980s were the anomaly (chart A). The decline in real rates over the 1990s and early 2000s simply reflected a return to historical norms from an unusually high starting point. Further falls since 2008 are far more plausibly related to the financial crisis than secular trends.
Glenn Hoggarth, Carsten Jung and Dennis Reinhardt.
Supporters of financial globalisation argue that global finance allows investors to diversify risks, it increases efficiency and fosters technology transfer. The critics point to the history of financial crises which were associated with booms and busts in capital inflows. In our recent paper ‘Capital inflows – the good, the bad and the bubbly’, we argue that the risks depend on the type of capital inflow, the type of lender and also the currency denomination of the inflows. We find that equity inflows are more stable than debt, foreign banks are more flighty than non-bank creditors, and flows denominated in local currency are more stable than in foreign currency. We also find evidence that macroprudential policies can make capital inflows more stable.
Philip Bunn, Jeanne Le Roux, Kate Reinold and Paolo Surico.
If you unexpectedly received £1000 of extra income this year, how much of it would you spend? All? Half? None? Now, by how much would you cut your spending if it had been an unexpected fall in income? Standard economic theory (for example the ‘permanent income hypothesis’) suggests that your answers should be symmetric. But there are good reasons to think that they might not be, for example in the face of limits on borrowing or uncertainty about future income. That is backed up by new survey evidence, which finds that an unanticipated fall in income leads to consumption changes which are significantly larger than the consumption changes associated with an income rise of the same size.
Empirical identification of the effects of monetary policy requires isolating exogenous shifts in the policy instrument that are distinct from the systematic response of the central bank to actual or foreseen changes in the economic outlook. Because the same tools are used to both induce changes in the economy, and to react to them, distinguishing between cause and effect is a far from trivial matter. One popular way is to use surprises in financial markets to proxy for the shock. In a recent paper, we argue that markets are not able to distinguish the shocks from the systematic component of policy if their forecasts do not align with those of the central bank. We thus develop a new measure of monetary shocks, based on market surprises but free of anticipatory effects and unpredictable by past information.
Ian Webb, David Baumslag and Rupert Read.
One September morning, the Lord Mayor of London was called to inspect a fire that had recently started in the City. Believing that it posed little threat, he refused to permit the demolition of nearby houses, probably due to the expense of compensating the owners. The fire spread and ultimately destroyed most of the city. The Great Fire of London had begun. Only when the fire became too extensive to be readily halted did the full extent of the danger become evident. Financial regulators today face a similar challenge preventing financial crises- action causes significant costs to some but the consequences of inaction are much more uncertain. To combat this, we argue they should apply the precautionary principle.
Yuliya Baranova, Carsten Jung and Joseph Noss.
There has been a recent increase in awareness of investors that limiting emissions to prevent climate change might leave a substantial proportion of the world’s carbon reserves unusable, and that this could lead to revaluations across a range of financial assets. If risks are left unaddressed, this could result in large losses for some investors. But is this adjustment in financial market prices likely to be abrupt? And – even if it is – is it likely to pose risks to financial stability? We argue that the answer to both these questions could be yes: financial valuations can move sharply even if the transition to sustainable energy were smooth. And exposures are sufficiently large to warrant attention from both investors and policymakers.
Philippe Bracke and Silvana Tenreyro.
When someone bought a house turns out to be an important factor in predicting whether the house will be sold again soon, and at what price. People who bought during a boom aim at achieving higher prices when they sell and, as a consequence, move less often. We explore whether this pattern is due to psychological anchoring (whereby the previous purchase price becomes an important reference point) or to the way the mortgage market works (for example, with homebuyers often using proceeds from house sales for down-payments on new properties).
Ian Billett and Patrick Schneider.
As time goes to infinity, the probability that a productivity analyst will wonder ‘which sectors are driving these trends?’ goes to one. We present an interactive sectoral productivity tool to help you explore this question without any fuss.
In a previous post I showed that bond and equity returns are negatively correlated, having been positively correlated for most of the 18th-20th centuries. The time series was long (three centuries) and the chart was just for the UK, prompting two very reasonable questions: 1) does your story hold for countries other than the UK? and 2) what’s happened to this correlation recently?