Quantifying the macroeconomic impact of geopolitical risk

Julian Reynolds

Policymakers and market participants consistently cite geopolitical developments as a key risk to the global economy and financial system. But how can one quantify the potential macroeconomic effects of these developments? Applying local projections to a popular metric of geopolitical risk, I show that geopolitical risk weighs on GDP in the central case and increases the severity of adverse outcomes. This impact appears much larger in emerging market economies (EMEs) than advanced economies (AEs). Geopolitical risk also pushes up inflation in both central case and adverse outcomes, implying that macroeconomic policymakers have to trade-off stabilising output versus inflation. Finally, I show that geopolitical risk may transmit to output and inflation via trade and uncertainty channels.

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Three facts about the rising number of UK business exits

Jelle Barkema, Maren Froemel and Sophie Piton

Record-high firm exits make headlines, but who are the firms going out of business? This post documents three facts about the rising number of corporations dissolving using granular data from Companies House and the Insolvency Service. We show that the increase in dissolutions that have already materialised reflected a catch-up following Covid and was concentrated among firms started during Covid. While these firms were small and had a limited macroeconomic impact, firms currently in the process of dissolving are larger. Their exit might therefore be more material from a macroeconomic perspective. We also discuss how the recent economic environment could contribute to further rises in dissolutions and particularly insolvencies in the future that could have more material macroeconomic impact.

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Flow of funds and the UK real economy

Laura Achiro, Gerry Gunner and Neha Bora

A flow of funds framework is a way of understanding and tracking the movement of financial assets between different sectors of the economy. This blog specifically analyses UK corporate and household sectoral flows from 2000 to the present and highlights how this framework can reveal useful trends and signals for policymakers about the real economy. For instance, the accumulation of debt in the pre-global financial crisis (GFC) era by households and corporates was a warning signal that indicated several potential risks and vulnerabilities in the economy, including overleveraging and asset price inflation.

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How resilient are UK corporate bond issuers to refinancing risks?

Laura Achiro and Neha Bora

Central banks in most advanced economies have tightened monetary policy by raising interest rates. Tighter financing conditions may make it harder for some businesses to refinance their debt or could mean they face less favourable terms when they do. This blog explores the extent to which bond maturities could crystallise these refinancing risks. Overall, UK corporate bond issuers appear broadly resilient to higher financing costs, but risks are higher for riskier borrowers particularly if the macroeconomic outlook and funding conditions were to deteriorate.

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Stressed or in distress? How best to measure corporate vulnerability

Alice Crundwell and William Bennett

Accurate measures of the number of firms at risk of failure are becoming increasingly important for policymakers, as corporate insolvencies are continuing to rise and interest rates are expected to remain higher than over much of the past decade. The share of vulnerable firms is often assessed by looking at debt-servicing ability via the interest coverage ratio (ICR) – companies’ earnings before tax and interest divided by their interest expense. But several other factors are also associated with a higher probability of firm failure. This post will explore the merits of looking at a combination of financial indicators of corporate distress to better measure the share of firms at risk of failure and the associated level of debt at risk.

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Mortgage affordability for borrowers who re-fixed in 2023

Daniel Norris, Elio Cucullo and Vasilis Jacovides

When borrowers enter a fixed-rate mortgage, lenders test whether they could continue to afford their mortgage if interest rates were to increase by the time it comes to re-fix. This ‘stressing’ is designed to create additional resilience for borrowers and the financial system. Over the last two years, mortgage rates have increased by over four percentage points, raising the cost of repayments for those re-fixing. We look at UK mortgage data and compare the stress rates applied at origination to rates available to borrowers when re-fixing. We find that the vast majority of borrowers who came to the end of their fixed terms in 2023 faced new mortgage rates which were lower than those they had been ‘stressed’ at.

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How auction design can make a difference: the case of the Bank’s Indexed Long-Term Repo Facility

Julia Giese and Charlotte Grace

In response to the global financial crisis, the Bank of England (BoE) began using Product-Mix Auctions (PMA) to provide liquidity insurance to financial institutions. The PMA, designed by Paul Klemperer, allows the quantity of funds lent against different types of collateral to react flexibly to the economic environment and market stress. It maximises overall surplus, or ‘welfare’, assuming bidders bid their true values for loans. Mervyn King, the then BoE Governor, described the BoE’s use of PMAs as ‘a marvellous application of theoretical economics to a practical problem of vital importance‘. In this post, we describe a staff working paper that shows that the PMA generates welfare gains relative to simpler alternative auction designs, which cannot achieve such fine-tuned responses.

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Why lower house prices could lead to higher mortgage rates

Fergus Cumming and Danny Walker

Bank Rate has risen by more than 5 percentage points in the UK over the past couple of years. This has led to much higher mortgage rates for many people. In this post we analyse another potential source of pressure on mortgagors: the potential for falls in house prices to push borrowers into higher – and therefore more expensive – loan to value (LTV) bands. In a scenario where house prices fall by 10% and high LTV spreads rise by 100 basis points, we estimate that an additional 350,000 mortgagors could be pushed above an LTV of 75%, which could increase their annual repayments by an extra £2,000 on average. This could have a material impact on the economy.

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Bias, fairness, and other ethical dimensions in artificial intelligence

Kathleen Blake

Artificial intelligence (AI) is an increasingly important feature of the financial system with firms expecting the use of AI and machine learning to increase by 3.5 times over the next three years. The impact of bias, fairness, and other ethical considerations are principally associated with conduct and consumer protection. But as set out in DP5/22, AI may create or amplify financial stability and monetary stability risks. I argue that biased data or unethical algorithms could exacerbate financial stability risks, as well as conduct risks.

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