How regulation shapes risk management · RiskAtoms Academy

By the end you will be able to

1Explain how capital, liquidity and reporting rules drive risk management inside banks and insurers.
2Step through the procyclicality loop and explain how countercyclical tools try to break it.
3Calculate how far a bank must shrink to restore its capital ratio after a loss, with and without a buffer release.
4Recognise other side effects of regulation: regulatory arbitrage, herding, and risk moving to non-banks.

Why it matters

Ask a bank's risk team what they worked on this week. The answers will include a stress test for the supervisor, a liquidity report due by a set day, and a model change that needs approval. Regulation does not just limit risk management; it shapes what risk managers do all day.

Core explanation

Rules become routines

This module has built up the rulebook: why it exists (L2.7.01: Why banks and insurers are regulated), Basel I to III for banks, Solvency II for insurers, accounting standards and the authorities that enforce them all. This last lesson asks what those rules do to the firms that follow them, for better and for worse.

From rule to practice

Every major rule has created a function, a process or a number that management watches. Click each rule to see what it built.

ExploreWhat each rule built inside the firm

Click a rule.

Capital rules

Capital planning and allocation: each business line is charged for the capital it uses, so returns are judged after the cost of capital. A risk appetite statement sets how close to the minimums the board will go. Teams work to make RWA accurate and, sometimes, to make it smaller.

The side effect that matters most: procyclicality

Risk-sensitive rules have a sting. In a downturn, losses cut capital and worsening ratings push up risk-weighted assets, so capital ratios fall from both ends. Raising new capital is hard in a recession, so banks shrink instead: deleveraging. Less lending deepens the downturn. This feedback is procyclicality. Step round the loop, then switch on the countercyclical tools.

Step throughThe procyclicality loop

1 / 5

Policy

Downturn

The economy weakens. Firms and households struggle to repay; unemployment rises.

Basel III's answer is buffers that can be used: the conservation buffer, and the countercyclical buffer that authorities build up in a credit boom and release in a bust (L2.7.04: Basel III and its finalisation). Solvency II has its own dampeners, such as the adjustment that lowers the equity stress after a market fall (L2.7.05: Solvency I to Solvency II). Expected loss accounting cuts both ways: it books losses earlier, which can make provisions jump just as the economy turns.

Other side effects

Side effect	What happens	Example
Regulatory arbitrage	Business is reshaped to cut the requirement, not the risk	Pre-2008 off-balance-sheet vehicles funded with short-term paper
Herding	Firms with the same rules and models act alike	Many sellers of the same asset when a shared limit binds
Risk moves outside	Activity shifts to less regulated non-banks	Growth of non-bank lending and funds since 2008
Managing the number	The ratio is managed rather than the risk	Balance sheets shrunk just around reporting dates
Cost and complexity	Compliance absorbs resources; box-ticking crowds out judgement	Thousands of reporting data points

The last two are versions of Goodhart's law. Moving risk outside the banks is regulatory arbitrage on a system scale, which is why the FSB now monitors non-bank financial intermediation, and why herding worries macroprudential authorities.

The formal version

Start with CET1 capital $C$ and RWA $R$ . A loss $L$ and a rise $g$ in risk weights give a new ratio:

\text{ratio} = \frac{C - L}{R\,(1 + g)}

To get back to a target ratio $T$ without new capital, RWA may be at most $(C - L)/T$ , so the cut is:

\text{RWA cut} = R\,(1+g) - \frac{C - L}{T}

A buffer release of $b$ lowers the target to $T - b$ . Because $T$ sits in the denominator, a small release frees a lot of lending capacity.

Derived in a few lines from the capital ratio of L2.7.02: The Basel Committee and Basel I.

Try it

Set a loss and a rise in risk weights, then release the buffer step by step. How much lending does each quarter-point of release save?

Try itThe deleveraging squeeze

The bank starts with €10.0bn of CET1 and €100.0bn of RWA: a ratio of 10%.

Loss in the downturn€1.0bn

Rise in RWA as ratings worsen10%

The bank's target CET1 ratio10.00%

Buffer released by the authority0.00%

CET1 after the loss€9.0bn

RWA after the rise€110.0bn

CET1 ratio now8.18%

Target after release10.00%

RWA to cut€20.0bn

…or capital to raise€2.0bn

Without new capital the bank must shed 18.2% of its risk-weighted assets: fewer loans to firms and households just as the economy weakens.

Worked example

A downturn, with and without a release

A made-up bank has €10bn of CET1 and €100bn of RWA, a ratio of 10%, which is also its target. A recession brings a loss of €1bn and lifts RWA by 10%.

The squeeze

Step 1 of 5

1
The new ratio
(10 − 1) ÷ (100 × 1.10) = 9 ÷ 110 = 8.18%, well below the 10% target.

Regulatory lens

In March 2020, as the pandemic hit, authorities used these tools for the first time on a wide scale. The Bank of England's Financial Policy Committee cut the UK countercyclical buffer to 0%, and authorities in many other countries released buffers or let banks operate below some of them for a time. Several supervisors also asked banks to suspend dividends and buybacks to conserve capital.

Macroprudential policy, aimed at the system rather than single firms, is now a standing job for bodies such as the FPC, the European Systemic Risk Board and the US Financial Stability Oversight Council (L2.7.07: The EU, UK and US landscape). How these tools are calibrated, and the detail of capital and liquidity calculations, belong to Level 4: Regulation, Capital & Accounting.

Sparks

SparkDynamic provisioning in Spain

In 2000 the Bank of Spain introduced “dynamic” or statistical provisions: banks set aside extra provisions in good years, to be drawn on in bad ones. The reserve it built helped Spanish banks when the crisis came, though not enough to offset the property bust. It was an early countercyclical tool, years before Basel III's buffer.

SparkGoodhart's law began with money

Charles Goodhart, an economist at the Bank of England, observed in the 1970s that any statistical regularity tends to collapse once pressure is placed on it for control purposes. He was writing about monetary targets, but risk managers quote it whenever a ratio becomes a target.

Key takeaways

Regulation shapes daily risk practice: capital planning, stress testing, liquidity management, model validation and risk data all grew from rules.
Risk-sensitive rules are procyclical: losses and rising risk weights squeeze capital ratios in a downturn, and banks shrink lending.
Usable buffers, especially the countercyclical buffer, are built in good times and released in bad times to dampen the loop.
Other side effects: regulatory arbitrage, herding, risk moving to non-banks, and managing the number rather than the risk.
Good risk management uses the rules as a floor, not as the whole job.

Reaction

Check what stuck

Glossary

Procyclicality: Rules or behaviour that amplify the economic cycle: easing in booms and tightening in busts.
Deleveraging: Shrinking a balance sheet, by lending less or selling assets, to restore capital or leverage ratios.
Regulatory arbitrage: Rearranging a business to lower a regulatory requirement without lowering the real risk.
Herding: Many firms doing the same thing at once because they follow the same rules and models.
Non-bank financial intermediation: Non-bank financial intermediation: credit and other banking-like activity carried out by funds, insurers and other non-banks.
Goodhart's law: When a measure becomes a target, it tends to stop being a good measure: firms manage the number rather than the risk.
Stress test: A test of how a firm's capital or liquidity would hold up in a severe but plausible scenario.
BCBS 239: The Basel Committee's 2013 principles for how banks gather and report risk data, so that it is accurate, complete and timely.

Deep Dives & Origins

Deep Dives

Brunnermeier, Crockett, Goodhart, Persaud and Shin, The Fundamental Principles of Financial Regulation, Geneva Reports on the World Economy 11, ICMB and CEPR, 2009. Intermediate.
Borio, Furfine and Lowe, “Procyclicality of the financial system and financial stability: issues and policy options”, BIS Papers No 1, 2001. Advanced.

Origins

Basel Committee on Banking Supervision, Guidance for national authorities operating the countercyclical capital buffer, BIS, December 2010.
Basel Committee on Banking Supervision, Principles for effective risk data aggregation and risk reporting (BCBS 239), BIS, January 2013.
Bank of England, Financial Policy Committee, record and statements of March 2020.
Financial Stability Board, Global Monitoring Report on Non-Bank Financial Intermediation (annual).
Goodhart, “Problems of monetary management: the U.K. experience”, in Papers in Monetary Economics, Reserve Bank of Australia, 1975.

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