Chiranjit Chakraborty and Andreas Joseph
Rapid advances in analytical modelling and information processing capabilities, particularly in machine learning (ML) and artificial intelligence (AI), combined with ever more granular data are currently transforming many aspects of everyday life and work. In this blog post we give a brief overview of basic concepts of ML and potential applications at central banks based on our research. We demonstrate how an artificial neural network (NN) can be used for inflation forecasting which lies at the heart of modern central banking. We show how its structure can help to understand model reactions. The NN generally outperforms more conventional models. However, it struggles to cope with the unseen post-crises situation which highlights the care needed when considering new modelling approaches.
(Northern Rock image – Lee Jordan – Flickr, reproduced from wikimedia commons under CCA licence)
Ten years ago this month, queues of people started to form early in the morning outside Northern Rock branches across the UK, to withdraw their money out of fear that their bank would soon collapse. As the day wore on panic spread, and the run continued until when the government stepped in to guarantee all Northern Rock deposits. It was the UK’s first retail bank run since the 19th century and one of the first symptoms of the global financial crisis. This anniversary is an appropriate time to reflect on those events, but also to look forward and assess how things have moved on in the last decade, and whether something similar could ever happen again.
Benjamin Guin, Martin Brown and Stefan Morkoetter
The recently proposed liquidity regulations for banks under Basel III emphasize the importance of deposit insurance and well-established customer relationships for the stability of bank funding. However, little is known about which clients withdraw their deposits from distressed banks. New survey data covering the behaviour of households in Switzerland during the 2007-2009 crisis suggest that well-established customer relationships are indeed crucial for mitigating withdrawal risk when a bank is in distress.
Joseph Noss and David Murphy
For some years, financial regulations have been becoming more complex. This has led some prominent commentators, regulators and regulatory bodies, to set out the case for simplicity, including Adrian Blundell–Wignall, Andy Haldane, Basel Committee and Dan Tarullo. In his contribution, Haldane illustrates how simple rules can achieve complex tasks: by simply adjusting its speed to keep its angle of gaze fixed, a dog can manage the complex task of catching a Frisbee. In this post, however, we argue that some financial risks are hard to catch with simple rules – they are more like a boomerang’s flight path than that of a Frisbee. Complex rules can sometimes do a better job at catching risk; and simple rules can be less prudent.
Sebastian de-Ramon, Bill Francis and Kristoffer Milonas.
Navigational aids are helpful when visibility is poor or when landmarks are unfamiliar, especially when journeying to new destinations. In a recent working paper, we introduce a new regulatory dataset, the ‘Historical Banking Regulatory Database’ (HBRD), that provides a clearer view of the UK banking sector and helps navigate issues difficult to explore with other datasets. This post describes the HBRD, its benefits for research and policy analyses, and what can be learned from it.
Mounir Kenaissi and Mariana Gimpelewicz.
A key feature of the post-crisis regulatory reform agenda has been the introduction of a leverage ratio to complement the risk-weighted framework. The FPC designed the UK leverage ratio to mirror risk-weighted capital requirements so the two frameworks move in lock-step over time and across firms. For the sake of simplicity however, the FPC did not reflect Pillar 2 capital charges, which aim to capture risks that cannot be modelled adequately in the risk-weighted framework, in the leverage ratio framework. In this post we explore what happens to leverage and risk-weighted requirements once Pillar 2 are taken into account. We find that in keeping the leverage ratio simple, the perfect lock-step interaction with risk-weighted requirements no longer holds, which could prompt riskier banks to take on more risk.
Sebastian J A de-Ramon, William Francis and Qun Harris
Shakespeare first coined the term ‘sea change’ in The Tempest to describe King Alonso’s lasting transformation after his mystical death by drowning. Resting five fathoms deep, Alonso suffers a sea change into something rich and strange, with coral for bones and pearls for eyes. In a recent working paper, we explore for evidence of a possible sea change in UK banks’ balance sheets using data spanning the 2007-09 crisis. Our initial dive into the still murky, post-crisis waters shows signs of something strange and unrecognizable, with UK banks, in response to higher capital requirements, increasing the level and in particular the quality of capital more after the crisis. This post describes our dive and its findings.
Last autumn, Charles Goodhart gave a special lecture at the Bank. In this guest post he argues that regulators should focus more on the incentives of individual decision makers.
The incentive for those in any institution is to justify and extol the virtues of the decisions that they have taken. Criticisms of current regulatory measures are more likely to come from outsiders, perhaps especially from academics, (with tenure), who can play the fool to the regulatory king. I offer some thoughts here from that perspective. I contend that the regulatory failures that led to the crisis and the shortcomings of regulation since are largely derived from a failure to identify the persons responsible for bad decisions. Banks cannot take decisions, exhibit behaviour, or have feelings – but individuals can. The solution lies in reforming the governance set-up and realigning incentives faced by banks’ management.
Caterina Lepore, Caspar Siegert, Quynh-Anh Vo
The 2016 Nobel Prize in economics has been awarded to Professors Oliver Hart and Bengt Holmström for their contributions to contract theory. The theory offers a wide range of real-life applications, from corporate governance to constitutional laws. And, as the post will hopefully convince you, contract theory is also helpful in regulating banks! To this end, we will unpack the outline of the theory and apply it to a number of real-world conundrums: How to pay banks’ chief executives and traders? How to fund a bank’s balance sheet? How to regulate banks?
Matteo Benetton, Peter Eckley, Nicola Garbarino, Liam Kirwin and Georgia Latsi.
Do financial regulations change bank behaviour? Does this create new risks? Under Basel II, some banks set capital requirements based on their internal risk models; others use an off-the-shelf standardised approach. These two methodologies can produce very different capital requirements for similar assets. See Figure 1, which displays a snapshot of recent risk weights for UK mortgages. In a new working paper we show empirically that this discrepancy causes lenders to adjust their interest rates and to specialise in which borrowers they target.