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.
There are two ways people can make their resources go further when buying a home.
One is to increase the loan-to-value (LTV) ratio and hence increase the amount available to buy a house for a given deposit.
The other is to lengthen the term over which the mortgage is repaid, which increases the size of loan associated with a given level of monthly repayments.
Arzu Uluc and Tomasz Wieladek.
Following the global financial crisis of 2007-08, financial reform introduced time-varying capital requirements to raise the resilience of the financial system. But do we really understand how this policy works and the impact it is likely to have on UK banks’ largest activity, mortgage lending? In a recent paper we investigated the UK experience of time-varying microprudential capital requirements before the financial crisis. We found that an increase in this requirement intended to make a bank more resilient actually induced it to shift into riskier mortgage lending.
Paolo Siciliani, Nic Garbarino, Thomas Papavranoussis and Jonathan Stalmann.
Systemically important banks are material providers of critical economic functions. The Global Financial Crisis showed how distress or failure of one of these firms may have a severe impact on the financial system and the real economy. Systemic capital surcharges protect the economy from these negative spillovers by decreasing systemically important firms’ probability of distress or failure. A graduated approach facilitates effective competition to the extent that the capital surcharges faced by firms are more proportionate to the scale of systemic risks that they pose. This post illustrates some of the competition implications with respect to the methodology used to set the number and level of thresholds.
Deposit insurance schemes guard against bank runs by reducing or removing individual depositors’ incentives to withdraw their funds if they believe their bank to be in trouble. They help protect depositors but they risk also protecting risky bank business models by removing depositors’ incentives to avoid riskier banks. What can be done about this? In the past the answer was sometimes to make small depositors bear part of the risk through “co-insurance”. This was proven not to be credible. In this blog I consider some of the options available, including the risk-based levies currently being introduced in the EU and elsewhere, and increased transparency, drawing on recent literature on the saliency of tax in consumer choices.
Matthew Osborne, Alistair Milne & Ana-Maria Fuertes.
Does the risk appetite of banks vary over the cycle? Our recent research paper sheds light on this issue by examining the time-varying correlation between banks’ capital ratios and lending rates which cannot be explained by bank characteristics, such as capital requirements, portfolio risk, size and market share, or macroeconomic factors. The relationship notably differs between episodes of rapid credit expansion (“good times”), and episodes of crisis with moderate or negative credit growth (“bad times”). This is difficult to reconcile with traditional theories of bank intermediation, but is consistent with recent theories emphasising cyclical variation in bank leverage and risk appetite.
John Hill and Jeremy Chiu.
In September 2007, Northern Rock became the victim of the UK’s first bank-run since 1878. Northern Rock had lost access to the wholesale markets on which it relied for its funding. Bank funding has remained a key issue for policymakers in the wake of the crisis, and has been the subject of new rules designed to promote funding resilience. Today, banks are more reliant on retail deposits for their funding, but this could present other issues for the dynamics of retail deposits that are less well understood. In this post, we introduce some of our own research that shows that banks are unable to raise deposits quickly in order to plug funding gaps opened up by adverse shocks.
Iñaki Aldasoro, Ester Faia, Gerardo Ferrara, Sam Langfield, Zijun Liu and Tomohiro Ota.
We make the case for a macroprudential approach to liquidity requirements in the cross-section of banks. Currently, the liquidity coverage requirement is applied uniformly across banks. This microprudential approach overlooks externalities: owing to their size, complexity and position in the interbank funding network, some banks can cause inordinate damage to the rest of the banking system. When externalities are taken into account, we show that these systemically important banks should be subject to more stringent liquidity requirements. This cross-sectional macroprudential approach promises “more bang for the buck”: systemic risk can be reduced without increasing the stringency of liquidity requirements for the banking system as a whole.
Stress testing is ubiquitous in today’s banking supervision regime. The stress test results are eagerly anticipated and received by the public and can have serious consequences for banks presenting ‘bad’ numbers. The public discussion of the stress scenarios seems to be focussed on their economic meaning (here is an example). The statistical smallprint relating to stress tests receives much less public attention. I pick up two modelling choices for closer inspection:
- Stress scenarios are meant to be point scenarios.
- Stress test results tend to be presented as single values.
I demonstrate that depending on the understanding of the scenario and the representation of the results, there is a wide range of plausible outcomes of a stress test.