Will Expected Loss loan provisioning reduce pro cyclicality?

I may not always agree with everything they have to say, but there are a few people who reliably produce content and ideas worth reading, Andy Haldane is one and Claudio Borio is another (see previous posts on Haldane here and Borio here for examples of their work). So I was interested to read what Borio had  to say about the introduction of Expected Credit Loss (ECL) provisioning. ECL is one of those topic that only interests the die-hard bank capital and credit tragics but I believe it has the potential to create some problems in the real world some way down the track.

Borio’s position is that:

  • Relative to the “incurred loss” approach to credit risk that precedes it, the new standard is likely to mitigate pro cyclicality to some extent;
  • But it will not be sufficient on its own to eliminate the risk of adverse pro cyclical impacts on the real economy;
  • So there is a need to develop what he calls “capital filters” (a generic term encompassing   capital buffers and other tools that help mitigate the risk of pro cyclicality) that will work in conjunction with, and complement, the operation of the loan loss provisions in managing credit risk.

There are two ways to respond to Claudio Borio’s observations on this topic:

  1. One is to take issue with his view that Expected Credit Loss provisioning will do anything at all to mitigate pro cyclicality;
  2. The second is to focus on his conclusion that ECL provisioning by itself is not enough and that a truly resilient financial system requires an approach that complements loan provisions

Will ECL reduce the risk of pro cyclicality?

It is true that, relative to the incurred loss model, the ECL approach will allow loan loss provisions to be put in place sooner (all other things being equal). In scenarios where banks have a good handle on deteriorating economic conditions, then it does gives more freedom to increase provisions without the constraint of this being seen to be a cynical device to “smooth” profits.

The problem I see in this assessment is that the real problems with the adequacy of loan provisioning occur when banks (and markets) are surprised by the speed, severity and duration of an economic downturn. In these scenarios, the banks may well have more ECL provisions than they would otherwise have had, but they will probably still be under provisioned.

This will be accentuated to the extent that the severity of the downturn is compounded by any systematic weakness in the quality of loans originated by the banks (or other risk management failures) because bank management will probably be blind to these failures and hence slow to respond. I don’t think any form of Expected Loss can deal with this because we have moved from expected loss to the domain of uncertainty.

The solution to pro cyclicality lies in capital not expected loss

So the real issue is what to do about that. Borio argues that, ECL helps, but you really need to address the problem via what he refers to as “capital filters” (what we might label as counter cyclical capital buffers though that term is tainted by the failure of the existing system to do much of practical value thus far). On this part of his assessment, I find myself in violent agreement with him:

  • let accounting standards do what they do, don’t try to make them solve prudential problems;
  • construct a capital adequacy solution that complements the accounting based measurement of capital and profits.

Borio does not offer any detail on exactly what these capital solutions might look like, but the Bank of England and the OFSI are working on two options that I think are definitely worth considering.

In the interim, the main takeaway for me is that ECL alone is not enough on its own to address the problem of pro cyclicality and, more importantly, it is dangerous to think it can.

Tony

The answer is more loan loss provisions, what was the question?

I had been intending to write a post on the potential time bomb for bank capital embedded in IFSR9 but Adrian Docherty has saved me the trouble. He recently released an update on IFRS9 and CECL titled Much Ado About Nothing or Après Moi. Le Deluge?

This post is fairly technical so feel free to stop here if you are not a bank capital nerd. However, if you happen to read someone saying that IFRS 9 solves one of the big problems encountered by banks during the GFC then be very sceptical. Adrian (and I) believe that is very far from the truth. For those not discouraged by the technical warning, please read on.

The short version of Adrian’s note is:

  • The one-off transition impact of the new standard is immaterial and the market has  largely ignored it
  • Market apathy will persist until stressed provisions are observed
  • The dangers of ECL provisioning (procyclical volatility, complexity and subjectivity) have been confirmed by the authorities …
  • … but criticism of IFRS 9 is politically incorrect since the “correct” narrative is that earlier loan loss provisioning fulfils the G20 mandate to address the problem encountered during the GFC
  • Regulatory adaption has been limited to transition rules, which are not a solution. We need a fundamentally revised Basel regime – “Basel V” – in which lifetime ECL provisions somehow offset regulatory capital requirements.

Adrian quotes at length from Bank of England (BoE) commentary on IFRS 9. He notes that their policy intention is that the loss absorbing capacity of the banking system is not impacted by the change in accounting standards but he takes issue with the way that they have chosen to implement this policy approach. He also calls out the problem with the BoE instruction that banks should assume “perfect foresight” in their stress test calculations.

Adrian also offers a very useful deconstruction of what the European Systemic Risk Board had to say in a report they published in July 2017 . He has created a table in which he sets out what the report says on one column and what they mean in another (see page 8 of Adrian’s note).

This extract from Adrian’s note calls into question whether the solution developed is actually what the G20 asked for …

“In official documents, the authorities still cling to the assertion that ECL provisioning is good for financial stability “if soundly implemented” or “if properly applied”. They claim that the new standard “means that provisions for potential credit losses will be made in a timely way”. But what they want is contrarian, anti-cyclical ECL provisioning. This is simply not possible, in part because of human psychology but, more importantly, because the standard requires justifiable projections based on objective, consensual evidence.

Surely the authorities know they are wrong? Their arguments don’t stack up.

They hide behind repeated statements that the G20 instructed them to deliver ECL provisioning, whereas a re-read of the actual instructions clearly shows that a procyclical, subjective and complex regime was not what was asked for.

It just doesn’t add up.”

There is of course no going back at this point, so Adrian (rightly I think) argues that the solution lies in a change to banking regulation to make Basel compatible with ECL provisioning. I will quote Adrian at length here

 “So the real target is to change banking regulation, to make Basel compatible with ECL provisioning. Doing this properly would constitute a genuine “Basel V”. Yes, the markets would still need to grapple with complex and misleading IFRS 9 numbers to assess performance. But if the solvency calculation could somehow adjust properly for ECL provisions, then solvency would be stronger and less volatile.

And, in an existential way, solvency is what really matters – it’s the sina qua non  of a bank. Regulatory solvency drives the ability of a bank to grow the business and distribute capital. Accounting profit matters less than the generation of genuinely surplus solvency capital resources.

Basel V should remove or resolve the double count between lifetime ECL provisions and one-year unexpected loss (UL) capital resources. There are many different ways of doing this, for example:

A. Treat “excess provisions” (the difference between one-year ECL and lifetime ECL for Stage 2 loans) as CET1

B. Incorporate expected future margin as a positive asset, offsetting the impact of expected future credit losses

C. Reduce capital requirements by the amount of “excess provisions” (again, the difference between one-year ECL and lifetime ECL for Stage 2 loans) maybe with a floor at zero

D. Reduce minimum regulatory solvency ratios for banks with ECL provisioning (say, replacing the Basel 8% minimum capital ratio requirement to 4%)

All of these seem unpalatable at first sight! To get the right answer, there is a need to conduct a fundamental rethink. Sadly, there is no evidence that this process has started. The last time that there was good thinking on the nature of capital from Basel was some 17 years ago. It’s worth re-reading old papers to remind oneself of the interaction between expected loss, unexpected loss and income.  The Basel capital construct needs to be rebuilt to take into account the drastically different meaning of the new, post-IFRS 9 accounting equity number.”

Hopefully this post will encourage you to read Adrian’s note and to recognise that IFRS 9 is not the cycle mitigating saviour of banking it is represented to be. The core problem is not so much with IFRS9 itself (though its complexity and subjectivity are issues) but more that bank capital requirements are not constructed in a way that compensates for the inherent cyclicality of the banking industry. The ideas that Adrian has listed above are potentially part of the solution as is revisiting the way that the Counter cyclical Capital Buffer is intended to operate.

From the Outside

 

The financial cycle and macroeconomics: What have we learnt? BIS Working Paper

Claudio Borio at the BIS wrote an interesting paper exploring the “financial cycle”. This post seeks to summarise the key points of the paper and draw out some implications for bank stress testing (the original paper can be found here).  The paper was published in December 2012, so its discussion of the implications for macroeconomic modelling may be dated but I believe it continues to have some useful insights for the challenges banks face in dealing with adverse economic conditions and the boundary between risk and uncertainty.

Key observations Borio makes regarding the Financial Cycle

The concept of a “business cycle”, in the sense of there being a regular occurrence of peaks and troughs in business activity, is widely known but the concept of a “financial cycle” is a distinct variation on this theme that is possibly less well understood. Borio states that there is no consensus definition but he uses the term to

“denote self-reinforcing interactions between perceptions of value and risk, attitudes towards risk and financing constraints, which translate into booms followed by busts. These interactions can amplify economic fluctuations and possibly lead to serious financial distress and economic disruption”.

This definition is closely related to the concept of “procyclicality” in the financial system and should not be confused with a generic description of cycles in economic activity and asset prices. Borio does not use these words but I have seen the term “balance sheet recession” employed to describe much the same phenomenon as Borio’s financial cycle.

Borio identifies five features that describe the Financial Cycle

  1. It is best captured by the joint behaviour of credit and property prices – these variables tend to closely co-vary, especially at low frequencies, reflecting the importance of credit in the financing of construction and the purchase of property.
  2. It is much longer, and has a much larger amplitude, than the traditional business cycle – the business cycle involves frequencies from 1 to 8 years whereas the average length of the financial cycle is longer; Borio cites a cycle length of 16 years in a study of seven industrialised economies and I have seen other studies indicating a longer cycle (with more severe impacts).
  3. It is closely associated with systemic banking crises which tend to occur close to its peak.
  4. It permits the identification of the risks of future financial crises in real time and with a good lead – Borio states that the most promising leading indicators of financial crises are based on simultaneous positive deviations of the ratio of private sector credit-to-GDP and asset prices, especially property prices, from historical norms.
  5. And it is highly dependent of the financial, monetary and real-economy policy regimes in place (e.g. financial liberalisation under Basel II, monetary policy focussed primarily on inflation targeting and globalisation in the real economy).

Macro economic modelling

Borio also argues that the conventional models used to analyse the economy are deficient because they do not capture the dynamics of the financial cycle. These extracts capture the main points of his critique:

“The notion… of financial booms followed by busts, actually predates the much more common and influential one of the business cycle …. But for most of the postwar period it fell out of favour. It featured, more or less prominently, only in the accounts of economists outside the mainstream (eg, Minsky (1982) and Kindleberger (2000)). Indeed, financial factors in general progressively disappeared from macroeconomists’ radar screen. Finance came to be seen effectively as a veil – a factor that, as a first approximation, could be ignored when seeking to understand business fluctuations … And when included at all, it would at most enhance the persistence of the impact of economic shocks that buffet the economy, delaying slightly its natural return to the steady state …”

“Economists are now trying hard to incorporate financial factors into standard macroeconomic models. However, the prevailing, in fact almost exclusive, strategy is a conservative one. It is to graft additional so-called financial “frictions” on otherwise fully well behaved equilibrium macroeconomic models, built on real-business-cycle foundations and augmented with nominal rigidities. The approach is firmly anchored in the New Keynesian Dynamic Stochastic General Equilibrium (DSGE) paradigm.”

“The purpose of this essay is to summarise what we think we have learnt about the financial cycle over the last ten years or so in order to identify the most promising way forward…. The main thesis is that …it is simply not possible to understand business fluctuations and their policy challenges without understanding the financial cycle”

There is an interesting discussion of the public policy (i.e. prudential, fiscal, monetary) associated with recognising the role of the financial cycle but I will focus on what implications this may have for bank management in general and stress testing in particular.

Insights and questions we can derive from the paper

The observation that financial crises are based on simultaneous positive deviations of the ratio of private sector credit-to-GDP and asset prices, especially property prices, from historical norms covers much the same ground as the Basel Committee’s Countercyclical Capital Buffer (CCyB) and is something banks would already monitor as part of the ICAAP. The interesting question the paper poses for me is the extent to which stress testing (and ICAAP) should focus on a “financial cycle” style disruption as opposed to a business cycle event. Even more interesting is the question of whether the higher severity of the financial cycle is simply an exogenous random variable or an endogenous factor that can be attributed to excessive credit growth. 

I think this matters because it has implications for how banks calibrate their overall risk appetite. The severity of the downturns employed in stress testing has in my experience gradually increased over successive iterations. My recollection is that this has partly been a response to prudential stress tests which were more severe in some respects than might have been determined internally. In the absence of any objective absolute measure of what was severe, it probably made sense to turn up the dial on severity in places to align as far as possible the internal benchmark scenarios with prudential benchmarks such as the “Common Scenario” APRA employs.

At the risk of a gross over simplification, I think that banks started the stress testing process looking at both moderate downturns (e.g. 7-10 year frequency and relatively short duration) and severe recessions (say a 25 year cycle though still relatively short duration downturn). Bank supervisors  in contrast have tended to focus more on severe recession and financial cycle style severity scenarios with more extended durations. Banks’s have progressively shifted their attention to scenarios that are more closely aligned to the severe recession assumed by supervisors in part because moderate recessions tend to be fairly manageable from a capital management perspective.

Why does the distinction between the business cycle and the financial cycle matter?

Business cycle fluctuations (in stress testing terms a “moderate recession”) are arguably an inherent feature of the economy that occur largely independently of the business strategy and risk appetite choices that banks make. However, Borio’s analysis suggests that the decisions that banks make (in particular the rate of growth in credit relative to growth in GDP and the extent to which the extension of bank credit contributes to inflated asset values) do contribute to the risk (i.e. probability, severity and duration) of a severe financial cycle style recession. 

Borio’s analysis also offers a way of thinking about the nature of the recovery from a recession. A moderate business cycle style recession is typically assumed to be short with a relatively quick recovery whereas financial cycle style recessions typically persist for some time. The more drawn out recovery from a financial cycle style recession can be explained by the need for borrowers to deleverage and repair their balance sheets as part of the process of addressing the structural imbalances that caused the downturn.

If the observations above are true, then they suggest a few things to consider:

  • should banks explore a more dynamic approach to risk appetite limits that incorporated the metrics identified by Borio (and also used in the calibration of the CCyB) so that the level of risk they are willing to take adjusts for where they believe they are in the state of the cycle (and which kind of cycle we are in)
  • how should banks think about these more severe financial cycle losses? Their measure of Expected Loss should clearly incorporate the losses expected from business cycle style moderate recessions occurring once every 7-10 years but it is less clear that the kinds of more severe and drawn out losses expected under a Severe Recession or Financial Cycle downturn should be part of Expected Loss.

A more dynamic approach to risk appetite get us into some interesting game theory  puzzles because a decision by one bank to pull back on risk appetite potentially allows competitors to benefit by writing more business and potentially doubly benefiting to the extent that the decision to pull back makes it safer for competitors to write the business without fear of a severe recession (in technical economist speak we have a “collective action” problem). This was similar to the problem APRA faced when it decided to impose “speed limits” on certain types of lending in 2017. The Royal Commission was not especially sympathetic to the strategic bind banks face but I suspect that APRA understand the problem.

How do shareholders think about these business and financial cycle losses? Some investors will adopt a “risk on-risk off” approach in which they attempt to predict the downturn and trade in and out based on that view, other “buy and hold” investors (especially retail) may be unable or unwilling to adopt a trading approach.

The dependence of the financial cycle on the fiscal and monetary policy regimes in place and changes in the real-economy also has potential implications for how banks think about the risk of adverse scenarios playing out. Many of the factors that Borio argues have contributed to the financial cycle (i.e. financial liberalisation under Basel II, monetary policy focussed primarily on inflation targeting and globalisation in the real economy) are reversing (regulation of banks is much more restrictive, monetary policy appears to have recognised the limitations of a narrow inflation target focus and the pace of globalisation appears to be slowing in response to a growing concern that its benefits are not shared equitably). I am not sure exactly what these changes mean other than to recognise that they should in principle have some impact. At a minimum it seems that the pace of credit expansion might be slower in the coming decades than it has in the past 30 years.

All in all, I find myself regularly revisiting this paper, referring to it or employing the distinction between the business and financial cycle. I would recommend it to anyone interested in bank capital management.