Since the onset of Covid-19, firms and workers have adopted and adapted to new working arrangements, which involved some workers primarily or exclusively working from home (WFH). What lessons – if any – can be drawn from this experience to inform future of work? A previous blog post examined how WFH might affect productivity. This blog post reviews more recent research on the experience of WFH during Covid, and considers what can be learnt about the impact of WFH on time use, workplace interactions and productivity.
There is a lively debate about whether and how capital regulations for banks and insurers should be adjusted in response to climate change. The Bank of England will host a conference later this year to discuss the points in favour of and against adjustments to the regulatory capital framework to take account of climate-related financial risks. The call for papers asks for research on appropriate capital tools to address these risks, eg whether risks point to microprudential tools which are firm specific or rather macroprudential system-wide ones. Moreover, it asks for research on an appropriate time horizon over which the risks should be considered and how scenarios and forward-looking data should be used. This post will review the existing literature and identify some key gaps.
Systemic financial crises occur infrequently, giving relatively few crisis observations to feed into the models that try to warn when a crisis is on the horizon. So how certain are these models? And can policymakers trust them when making vital decisions related to financial stability? In this blog, I build a Bayesian neural network to predict financial crises. I show that such a framework can effectively quantify the uncertainty inherent in prediction.
Many UK firms weathered the Covid shock by taking on debt. Small and medium-sized enterprises (SMEs) in particular borrowed at an unprecedented rate and their debt increased by around a quarter since end-2019. But debt that allowed SMEs to survive the pandemic could now hamper the recovery as indebted firms may struggle to invest and grow. Debt on SMEs’ balance sheets could also make firms more vulnerable to future shocks and could amplify downturns if indebted firms reduce investment more following shocks. To understand how investment might evolve, our recent FS paper examines how leverage affected SME investment during and after the Global Financial Crisis (GFC) and discusses potential differences given regulatory and other changes since the GFC.
How easy is it to understand this sentence you are currently reading? How easy it is to understand this sentence that has dependency arcs that are longer that make it more difficult to read? How about if my writing is magniloquent? Or what if I use normal words? Writing style matters for how easy it is to read text. This post asks if writing style can influence how long markets take to digest Bank of England monetary policy information. I find that Bank of England publications that summarise their content in the first sentence, and use less unexpected vocabulary, are associated with a faster time for swap markets to reach a new equilibrium price following the publication release.
Mortgage payment holidays (PH) were introduced in March 2020 to help households who might have struggled to keep up with mortgage payments due to the pandemic. It allowed a suspension of mortgage principal and interest repayments for a maximum of six months, without affecting households’ credit risk scores. Given the novelty of the policy, we study in a new paper whether mortgage PH have supported household consumption during the pandemic, especially for those more financially vulnerable. Using transaction-level data, we find that temporary liquidity relief provided by PH allowed liquidity-constrained households to maintain higher annual consumption growth compared to those not eligible for the policy. We also find that PH led more financially stable households to increase their saving rates, not their consumption.
Any distributional effects on credit of macroprudential policies are only one part of the distributional story. Relatively little is known about how such policies affect the income distribution in the longer term via their role in preventing crises or mitigating their severity. Our paper helps to fill that gap in the literature by looking at the impact of past recessions and crises on inequality, and the amplifying roles of credit and capital within that. This helps to shed light on the distributional implications of not intervening – in the form of an amplified recession. We find that inequality rises following recessions and that rapid credit growth prior to recessions exacerbates that effect by around 40%.
The Citizens’ Panels (now the Citizens’ Forum) is a Bank of England discussion forum to engage with the UK public on important topics such as the labour and housing markets, or climate change. It included a forecasting competition, and Bank Underground invited the winners to contribute short pieces about how they evaluate the UK economy, discuss issues of their concern, and to propose solutions.
Part of Bank Underground’s purpose is to give a platform for views from Bank of England (‘Bank’) analysts that may differ from those of the Bank or its policy committees. Alternative views are encouraged within the Bank, but the range of opinions and ways of thinking by analysts is likely to be limited to some extent: by education, experience and less tangible factors such as the language analysts use to explain their thoughts. The Citizens’ Panels therefore offer a rich source of information. By now, they include some 3,200+ participants with a wide range of backgrounds: some are familiar with economics and central banking but many may know little about either. This blog represents the voices of some of those panel members about the UK economy, and how they addressed the forecasting challenge, which we put in front of participants as part of the Citizens’ Forum online community – which by-the-way is open to all.
Robert Czech, Pasquale Della Corte, Shiyang Huang and Tianyu Wang
Can investors predict future foreign exchange (FX) rates? Many economists would say that this is an incredibly difficult task, given the weak link between exchange rate fluctuations and the state of an economy – a phenomenon also known as the ‘exchange rate disconnect puzzle’. In a recent paper, we show that some investors in the ‘FX option market’ are indeed able to accurately forecast exchange rate returns, particularly in periods with strong demand for the US dollar. These informed trades primarily take place on days with macroeconomic announcements and in options with higher embedded leverage. We also find that two groups of investors – hedge funds and real money investors – have superior skills in predicting exchange rates.
Supply disruptions caused by systemic shocks such as Brexit, Covid and Russia-Ukraine tensions have catapulted the issue of risk in global supply chains to the top of policy agendas. In some sectors, however, there is a wedge between private and social risk appetite, or increased risks due to lack of supply chain visibility. This post discusses the types of risks to and from supply chains, and how supply chains have recovered from past shocks. It then proposes a risk-reward framework for thinking about when policy interventions are necessary.