Policymakers have put forward proposals to ensure that banks do not underestimate long-term risks from climate change. To examine how lenders account for extreme weather, we compare matched repeat mortgage and property transactions around a severe flood event in England in 2013-14. We find that lender valuations do not ‘mark-to-market’ against local price declines. As a result valuations are biased upwards. We also show that lenders do not offset this valuation bias by adjusting interest rates or loan amounts. Overall, these results suggest that lenders do not track closely the impact of extreme weather ex-post.
Bruno Albuquerque, Martin Iseringhausen and Frédéric Opitz
The fall in aggregate demand due to the COVID-19 shock has brought the eight-year long US housing market expansion to a halt. At the same time, the Federal Reserve and the US Government have deployed significant resources to support households and businesses. These actions should help weather the ongoing crisis and lay the seeds for the next recovery. It is, however, highly uncertain how the post-COVID-19 housing recovery will look. Using a time-varying parameter (TVP) model on US aggregate data, our results suggest that the next housing recovery may exhibit similar features to the 2012-19 expansion: a sluggish response of housebuilding to rising demand, but a strong response of house prices.
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.
Bruno Albuquerque, Knut Are Aastveit and André Anundsen
Housing supply elasticities – builders’ response to a change in house prices – help explain why house prices differ across location. As housing supply becomes more inelastic, the more rising demand translates to rising prices and the less to additional housebuilding. In a new paper, we use a rich US dataset and novel identification method to show that supply elasticities vary across cities and across time. We find that US housing supply has become less elastic since the crisis, with bigger declines in places where land-use regulation has tightened the most, and in areas that had larger price declines during the crisis. This new lower elasticity means US house prices should be more sensitive to changes in demand than before the crisis.
Since the mid-1980s, the average real (RPI-adjusted) UK house price has more than doubled, rising around one and a half times as fast as incomes. Economists’ diagnoses of the root cause varies – from anaemic supply, to the consequences of financial deregulation, or even a bubble. In our recent paper, we explore the role of the long-run decline in the real risk-free rate in driving up house prices. Low interest rates push up asset prices and reduce borrowing costs. We find the decline in the real risk-free rate can account for all of the rise in house prices relative to incomes.
In yesterday’s post we argued that housing is an asset, whose value should be determined by the expected future value of rents, rather than a textbook demand and supply for physical dwellings. In this post we develop a simple asset-pricing model, and combine it with data for England and Wales. We find that the rise in real house prices since 2000 can be explained almost entirely by lower interest rates. Increasing scarcity of housing, evidenced by real rental prices and their expected growth, has played a negligible role at the national level.
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).
“UK prepares for pensions spending spree” “House prices set to soar by 30 per cent as savers raid pension funds” These were some of the headlines which followed the pension reforms announced by the UK government in the 2014 and 2015 Budgets. But how much truth do they contain? In contrast to some of the headlines, results from a household survey commissioned by the Bank suggest that greater pension freedom will have only a small impact on household spending. And – although a number households would like to invest funds withdrawn from their pension in property – only a subset of these are likely to be able to afford to do so, and some may have bought property even without the reforms.
In some parts of the emerging world, housing markets have grown well ahead of income in recent years. Will a US monetary policy normalisation bring about a correction in house prices as the search for yield unwinds and capital flows back to the US? Looking at the past through the prism of a structural VAR, we think the answer is “yes it will”. Shocks to global liquidity have much larger effects on house prices in emerging markets than in advanced world economies. A tightening in global liquidity conditions also leads to a rapid capital account reversal, exchange rate depreciation and hence a sharp fall in consumption.