“The danger of confusing Canadians and Americans”

Why are Canadian commentators typically more bearish on the outlook for US households?

The key chart

Diverging trends in US and Canadian HH debt service ratios and affordability risks (Source: BIS; CMMP)

The key message

My Canadian friends typically recoil when being mistaken for Americans – and understandably so. They have their own unique nationality, heritage and culture. Despite being close geographical neighbours, they have their own unique experiences too. At the same time, my American friends may recoil when Canadian economic and market commentators allow their own domestic experiences to distort their outlook for US household sector vulnerabilities. Again, understandably so – they each have their own unique experiences.

Confusing Canadians and Americans is rarely a good idea…

For the rest of us the message is clear. Among developed economies, affordability risks are at their highest in Canada, Switzerland, Sweden and France (Lesson #2 from the money sector in 2023). Ignoring key structural shifts in US HH dynamics is a mistake as those who underestimated the resilience of the US consumer found out to their cost last year.

The dangers of confusing Canadians and Americans

Twenty year trends in US and Canadian HH debt ratios (Source: BIS; CMMP)

Note that the US household (HH) debt ratio peaked at 99% GDP back in December 2007 (see chart above). It is now 74% GDP, below the 85% GDP threshold level above which the BIS considers debt to be a constraint on future growth. The Canadian HH debt ratio only peaked 13 years later at 113% GDP in December 2020. It is now 103% GDP, still well above the BIS threshold level.

Twenty year trends in US and Canadian HH RGFs (Source: BIS; CMMP)

The rate of “excess credit growth” (or relative growth factor) – where the 3Y CAGR in debt is above the 3Y CAGR in nominal GDP – peaked in the US at 6.6ppt back in March 2004. In Canada, the rate of excess credit growth did not peak until December 2009 at 7.7ppt. There is one similarity here, however. In both economies, the relative growth factors are currently negative (see chart above).

Diverging trends in US and Canadian HH debt service ratios and affordability risks (Source: BIS; CMMP)

This matters because HH sector vulnerabilities with respect to “affordability risks” are very different in these economies. The HH debt service ratio (DSR) in the US is currently 7.7%. This is 3.9ppt below its historic high of 11.6% and 1.5ppt below its long-term average of 9.2%. In sharp contrast, the HH DSR in Canada is at a record high of 14.4%, 2.1ppt above its long-term average of 12.3%.

Conclusion

Confusing Canadians and Americans is rarely a good idea…

Among developed economies, affordability risks are at their highest in Canada, Switzerland, Sweden and France (Lesson #2 from the money sector in 2023). Ignoring key structural shifts in US HH dynamics is a mistake as those who underestimated the resilience of the US consumer found out to their cost last year.

Happy New Year!

Please note that the summary comments and charts above are abstracts from more detailed analysis that is available separately.

“Seven lessons from the money sector in 2023”

What have the “messages from the money sector” taught us in 2023?

The key chart

Visual summary of the CMMP Analysis framework linking all economic sectors together (Source: CMMP)

The key message

The key message from CMMP Analysis is that the true value in analysing developments in global finance lies less in considering investments in banks’ equity and more in understanding the implications of the relationship between the money sector and the wider economy for macro policy, corporate strategy, investment decisions and asset allocation.

The 2023 “messages from the money sector” included the importance of post-GFC debt dynamics, the risks of policy errors, the failure of banks to support productive economic activities, and the increasing abuse of macro statistics.

The seven key lessons were:

  1. The risk of a Chinese balance sheet recession dominated 2023 and will DOMINATE 2024 too
  2. “US bears” ignored structural shifts in US debt dynamics post-GFC and underestimated the RESILIENCE OF THE CONSUMER as a result
  3. Aggregate demand in credit-driven economies is equal to income (GDP) PLUS THE CHANGE IN DEBT. Policy makers continue to ignore this truism at OUR peril
  4. The ECB’s policy celebrations may prove PREMATURE
  5. UK policy making is still based on UNBELIEVABLE forecasts and FLAWED macro thinking
  6. Banks are failing to support PRODUCTIVE ACTIVITY and the SME sector in particular
  7. The ABUSE of macro statistics is rife – beware of “panic charts” and their accompanying narratives

Seven lessons from the money sector in 2023

The importance of post-GFC debt dynamics

Lesson #1: the risk of a Chinese balance sheet recession dominated 2023 and will dominate 2024 too

January 2023: Trends in Japanese, Spanish and Chinese private sector debt ratios (% GDP) (Source: BIS; CMMP)

CMMP Analysis began 2023 by questioning the popular, “China-opening story“. We highlighted three structural risks to this narrative – (1) the level of private sector debt, (2) the rate of growth of household debt, and (3) the affordability of private sector debt. We asked two questions.

First, what happens if rather than seeking to maximise profit/utility as traditional economics assumes, the Chinese private sector turns to minimising debt or maximising savings instead?

Second, and following on from this, what if China experiences a balance sheet recession instead?

December 2023: Trends in “excess credit growth” in China since June 2013 (Source: BIS; CMMP)

The balance sheet narrative remained on hold during 2023, but risks remain as we enter 2024. All sectors of the Chinese economy are increasing leverage still. The Chinese government is the main driver here, rather than the private sector, however. Crucially, the dynamics of Chinese money creation and potential growth are shifting. Credit agencies may (mistakenly) wish for lower levels of government debt in China, but given current debt dynamics it will be fiscal policy/government spending that will have to do the heavy lifting in 2024 if China’s growth is to recover.

Lesson #2: “US bears” ignored structural shifts in US debt dynamics post-GFC and underestimated the resilience of the consumer as a result

January 2023: Trends in the stock of US consumer credit ($tr) and the consumer credit to DPI ratio (%) (Source: FRED; CMMP)

CMMP Analysis also began 2023 by questioning the equally popular, “US consumer slowdown narrative”. We argued that “US bears” were ignoring the key structural shifts in US debt dynamics that saw the US leading the advanced world in the structural shift away from high-risk HH debt towards relatively low risk public debt in the post-GFC period. In September 2023, we noted greater affordability risks in other developed economies such as Canada, Switzerland, Sweden, France and Finland and in emerging markets such as Brazil, China and Korea instead.

December 2023: Trends in monthly flows of US consumer credit (Source: FRED; CMMP)

That said, we also noted signs that the US consumer was starting to crack as the year progressed. Quarterly consumer credit flows in the 3Q23 ($4bn) were the weakest since 2Q20, and only a very small fraction of the pre-pandemic average quarterly flow of $45bn. Monthly flow data for October 2023, also suggested that momentum weakened further at the start of 4Q23.

Note the key differences between China and the US here – China’s challenges are more structural in nature, while the US’s challenges are more cyclical.

The risks of policy errors

Lesson #3: Aggregate demand in credit-driven economies is equal to income (GDP) PLUS THE CHANGE IN DEBT. Policy makers continue to ignore this truism at OUR peril.

In September 2023, CMMP Analysis argued that central bank decision making that appears largely “data independent” in relation to private sector credit dynamics is unlikely to produce positive economic outcomes. Instead, it increases the likelihood of policy errors, especially in credit-driven economies.

September 2023: Trends in the UK PS debt ratio (RHS) and PSC relative growth factor (LHS) (Source: BIS; CMMP)

The fundamental error is to ignore that aggregate demand in a credit-driven economy is equal to income (GDP) PLUS THE CHANGE IN DEBT. The addition of the change in debt means that, in reality, aggregate demand is far more volatile than it would be if income alone was its source (as typically assumed). This is especially true for highly indebted economies.

If Schumpeter could understand this in 1934, why can’t policy makers understand it in 2024?

Lesson #4: The ECB’s celebrations may prove to be premature

ECB officials spent much of 2023 arguing that the transmission of monetary policy was working. The tone became almost celebratory by the end of the year, with Board members arguing that not only was the transmission working but also that it was delivering results that were EXACTLY what the ECB wanted to see.

December 2023: Trends in PS financing flows (EUR bn, 12m cum flows) and nominal NFC and HH borrowing costs (%, RHS) (Source: ECB; CMMP)

The risks that these celebrations may prove to be premature are obvious, however, or at least they should be. While monetary policy transmission in the euro area is working as textbooks suggest, both the pace and scale of current tightening is unprecedented. The ECB lacks a playbook for such a scenario and EA economies now find themselves in uncharted territory. Policy tightening continued even as the EA money sector was indicating increases stresses for banks, households and corporates. The end result – a combination of NEGATIVE financing flows to the private sector, historically high policy rates and elevated costs of borrowing – is unlikely to be sustainable in 2024.

Lesson #5: UK policy making is based on unbelievable forecasts and flawed macro thinking

November 2023: Historic and forecast trends in sectoral balances for the UK private and public sectors and the RoW expressed as % GDP (Source: OBR; CMMP)

Official OBR forecasts for the UK economy remain unbelievable when viewed through CMMP Analysis’ preferred sector balances perspective. The March 2023 version suggested a return to the pre-pandemic world of economic imbalances and an economy forecast to remain heavily dependent on net borrowing from abroad – the irony of post-Brexit Britain. The November 2023 version presented a more balanced outlook and a more realistic forecast for private sector dynamics but was simply too dull to be true.

December 2023: Trends in UK PS debt ratio (% GDP, RHS) and relative growth versus nominal GDP (3Y CAGR %, LHS) (Source: BIS; CMMP)

The UK private sector debt ratio fell back to its March 2022 level at the end of 2Q23. This matters because neither Jeremy Hunt (the current UK Chancellor) nor Rachel Reeves (his likely successor) appear to recognise the folly of combining austerity with private sector deleveraging (“pre-COVID Britain”). The next general election will be fought on the wrong macro battleground as a result. Both parties will repeat the flawed narrative that governments (that enjoy monetary sovereignty) face the same financial constraints as households and that public debt is a problem while largely ignoring private debt. A depressing thought for the year ahead.

The failure of banks

Lesson #6: Banks are failing to support productive activity and the SME sector in particular

February 2023: Trends and breakdown of UK FIRE-based (red and pink) and COCO-bases (blue) lending (£bn) (Source: BoE; CMMP)

A more appropriate macro policy debate in the run-up to the next election would focus on the role of banks. UK banking, for example, is heavily geared towards less-productive FIRE-based lending that supports capital gains rather than productive COCO-based lending that supports investment, production and income formation.

October 2023: Trend in the outstanding stock of SME loans since 2013 (£bn) (Source: BoE; CMMP)

UK banking also fails SMEs, the lifeblood of the UK economy. Only 22 pence in every pound lent in the UK is for productive purposes and only c.7pence is lent to SMEs. This is despite the fact that SMEs account for 50% of private sector turnover and 60% of employment. SMEs cannot invest fully in growth, job creation, innovation and equality if and when: (1) their access to external capital is constrained by LT structural factors; (2) flows of financing (both loans and overdrafts) are negative; and (3) their cost of borrowing is rising so rapidly.

The abuse of macro statistics

Lesson #7: The abuse of macro statistics is rife – beware of “panic charts” and their accompanying narratives.

CMMP Analysis suggests that US public sector debt and trends in narrow money (M1) are the most widely abused macro statistics of the year.

May 2023: 50 years of US public sector debt dynamics – plotted differently! (Source: FRED; CMMP)

The abuse of US public sector debt data involves five elements. First, ignoring the fact that public debt is both a liability for the government sector and an asset of the non-government sector. Second, making no comparison with GDP. Third, ignoring inflation. Fourth, presenting long time series data using linear scales. Fifth and finally, ignoring private sector debt dynamics completely (see also lesson #2 above).

November 2023: Growth trends (% YoY) in narrow money (M1) and other short term deposits (M2-M1) (Source: ECB; CMMP)

The abuse of monetary aggregate statistics is more understandable given that growth in narrow money is falling rapidly, and that real growth rates in M1 typically display leading indicator properties with real GDP. This means that M1 dynamics make great headlines for sure, but they only tell one part of the macro and banking stories. The rising opportunity cost of holding money, on-going portfolio rebalancing and the mechanics of money creation are important too. Policy normalisation leads to natural re-adjustments in the structure of MFI consolidated balance sheets. This can and does create dramatic movements in individual items and monetary variables such as M1 and increases the risk of misinterpretation.

In short, monetary aggregates still matter. To return to the key message from CMMP Analysis, they tell us a great deal about the interaction of the banking sector and the wider economy, but they need interpreting with due care and attention…

Thank you for reading and very best wishes for a very happy and healthy new year.

Please note that the summary comments and charts above are abstracts from more detailed analysis that is available separately.

“Whisper it softly – Part I”

The world has been passively deleveraging since December 2020

Global debt (USD bn, LHS) and debt ratio (% GDP, RHS) since June 2009 (Source: BIS; CMMP)

The key message

The world has been passively deleveraging since December 2020 – i.e. debt has been growing at a slower rate than nominal GDP.

This is in contrast to the impression given by popular narratives (see example WEF quote below) about a world “drowning in unsustainable and/or rising debt”.

“Global debt is borrowing by governments, businesses and people, and it’s at dangerously high levels”

World Economic Forum, October 2023

According to the latest BIS data, the total debt ratio (of all BIS reporting economies) fell to 247% GDP in June 2023, down from 290% GDP in December 2020 (see key chart above).

The absolute level of debt also fell from $231tr in March 2022 to $227tr in June 2023 (i.e. active deleveraging).

Note that:

  • In terms of relative growth, global debt has grown at a CAGR of only 3.4% over the past three years compared with a 6.4% CAGR in nominal GDP
  • The debt ratios of the government, HH and NFC sectors all peaked in December 2020. Since then, the government debt ratio has fallen from 109% GDP to 87% GDP, the HH debt ratio has fallen from 70% GDP to 62% GDP, and the NFC debt ratio has fallen from 110% GDP to 97% GDP
  • In absolute terms, government debt peaked in December 2021 ($85tr) while both HH and NFC debt did not peak until March 2023 ($58tr and $89tr respectively)
  • Of the two private sector debt ratios, only the NFC debt ratio is above the BIS’ threshold limit of 90% GDP
  • The structure of global debt has shifted towards public debt and away from higher-risk HH debt since the GFC. This process has been led by the US (see subsequent posts and “Challenging flawed narratives“)

Given the above, a more accurate summary of global debt dynamics might read:

“Borrowing by governments, businesses and people is growing at a slow pace than nominal GDP as the world continues to de-lever. The structural shift away from relatively higher-risk HH debt towards lower-risk public debt also continues, led by the US. Nonetheless, the risks associated with the level of NFC indebtedness remain elevated, albeit lower than in the recent past.”

Viewed in this context, the relative resilience of consumption and growth in advanced economies in the face of unprecedented monetary tightening might have been less surprising…

Please note that the summary comments and chart above are abstracts from more detailed analysis that is available separately.

“Structure matters too!”

How the French case study improves our understanding of debt dynamics

The key chart

Top ten BIS reporting nations ranked by outstanding stock of PS debt ($tr) (Source: BIS; CMMP)

The key message

France provides an excellent case study for improving our understanding of global debt dynamics and their impact on economic activity and banking sector risks.

When analysing debt dynamics, policy makers and macroeconomists are vulnerable to three types of mistakes:

  • Mistake #1: ignoring private sector (PS) debt entirely
  • Mistake #2: focusing exclusively on the absolute level of PS debt
  • Mistake #3: failing to incorporate the “structure” of debt into their analysis

Current French debt dynamics illustrate the impact of these mistakes in practice and highlight why a more multi-faceted, analytical approach is required.

Attention typically focuses on France’s above EU-average level of public debt and Economy Minister, Bruno Le Maire’s attempts to convince markets and Brussels that France is “going back to budget discipline” (see today’s 2024 budget announcement for details).

Note, however, that France also has the fourth highest outstanding stock of PS debt in the world ($6.6tr) and the highest outstanding stock among euro area (EA) nations. The risk here is that potential PS debt vulnerabilities are either ignored or under-played. Consider three additional factors:

  • the level of PS indebtedness: France has the highest level of PS indebtedness (226% GDP) among EA economies (excluding Luxembourg)
  • the rate of excess credit growth:  France has recorded the highest levels of excess PS credit growth among larger EA economies since mid-2015
  • affordability risks: France’s PS debt service ratio is high in absolute terms and in relation to its LT average

Each of these factors point to elevated PS debt vulnerabilities in France, but they do not tell the whole story.

The transmission mechanism of ECB monetary policy to the French economy is relatively slow. The increase in the cost of borrowing for French corporates has been lower than in the rest of the EA and the current cost of borrowing for both corporates and households is lower than the EA average too. This reflects unique, structural factors of French financial markets (bias towards fixed rate lending, maturity of NFC debt, maximum debt-service-to-income ratios etc). These factors do not eliminate France’s PS debt vulnerabilities, but they do limit their impact, at least in the short term.

In short the key message here  – illustrated clearly by French debt dynamics – is that not only does private sector debt matter, but also that it needs to be considered in relation to the level of indebtedness, its rate of growth, its affordability AND its structure.

Structure matters too

The context

Top ten BIS reporting nations ranked by outstanding stock of PS debt ($tr) (Source: BIS; CMMP)

France has the fourth highest outstanding stock of private sector debt ($6.6tr) among BIS reporting nations and the highest outstanding stock among EA economies (see graph above).

While France’s share of total global PS debt has fallen slightly from 3.8% in 1Q09 to 3.3% in 1Q23, its share of euro area (EA) debt has increased from 21.7% to a new high of 28.4% over the same period (see graph below).

Trends in market share of EA private sector debt (Source: BIS; CMMP)

Improving our understanding of PS debt dynamics

Three factors point to elevated PS debt vulnerabilities in France – the level of indebtedness, the rate of “excess credit growth”, and affordability risks.

The level of indebtedness

Trends in private sector debt ratios (% GDP) (Source: BIS; CMMP)

France has the highest level of PS indebtedness among EA economies (excluding Luxembourg). The PS debt ratio has risen from 145% GDP in 1Q03 (109% NFC, 36% HH) to 226% GDP in 1Q23 (160% NFC, 66% HH). The PS debt ratio has fallen from its 4Q20 peak of 241% GDP but has exceeded the Netherlands’ PS debt ratio for the past two quarters (see chart above).

Excess credit growth

Trends in private sector debt “relative growth factors” (Source: BIS; CMMP)

France has also recorded the highest levels of excess PS credit growth among larger EA economies. Since mid-2015, France’s “relative growth factor” (RGF) of private sector credit has been the highest among the larger EA economies. The RGF measures the CAGR in PS debt versus the CAGR in nominal GDP, calculated on a rolling 3-year basis. The contrast between France’s excess credit growth and the trends in the Netherlands, Italy and Spain pre-COVID are marked (see chart above).

Affordability risks

Global affordability risks – deviation of DSR from LT average plotted against current DSR level (Source: BIS; CMMP)

The PS debt ratio is also high in absolute terms and in relation to its LT average, suggesting elevated “affordability risks” (see chart above). At the end of 1Q23, France’s PS debt service ratio was 20.5%. This was down from its 4Q20 peak of 21.5% but remains high in absolute terms and 2.7ppt above its average level since 1999.

Structure matters too

Change in cost of NFC borrowing since June 2022 plotted against current cost of NFC borrowing (July 2023) (Source: ECB; CMMP)

The transmission of ECB monetary policy to the French economy is relatively slow, however, offsetting the vulnerabilities described above. The increase in the cost of borrowing for French corporates (NFCs) has been lower than in the rest of the EA (see chart above) and the current cost of borrowing for both NFCs and households (HHs) is lower than the EA average too (see chart below).

Cost of French and EA borrowing for NFCs and HHs as of July 2023 (Source: ECB; CMMP)

These trends reflect unique structural characteristics of the French market including relative exposure to fixed-, as opposed to variable-rate, lending and the maturity of debt.

Only 41% of new loans to HHs and NFCs in France are variable rate loans compared with an average of 66% across the EA. More noticeably, less than 3% of new mortgage loans in France are variable rate compared with an average of just over 20% for the EA.

According to the Banque de France, the debt of French NFCs also remains focused on long maturities (55% of outstanding bank loans and 43% of market debt have residual maturities of 5 years or more). The average interest rate in outstanding debt is therefore increasingly gradually and remains considerably lower than the cost of new borrowing – good news for borrowers, less positive for banks’ NIMs.

Conclusion

Policy makers and economists typically obsess about public sector debt while largely ignoring PS debt (mistake #1). When attention is given to PS debt, this typically focuses on its absolute level alone (mistake #2).

Incorporating the level of indebtedness, the rate of growth and the affordability of debt improves our understanding of PS debt dynamics and their potential impact on the economy considerably. However, as this French case study shows, it is an error to ignore the structure of debt too (potential mistake #3).

The level of PS indebtedness, the rate of excess PS credit growth and the affordability of PS debt all point to elevated PS vulnerabilities in France. The structure of French PS debt limits the impact of these vulnerabilities due the relatively slow transmission of ECB monetary policy, however, at least in the short term.

In summary, structure matters too…

Please note that the summary comments and charts above are abstracts from more detailed analysis that is available separately.

“Affordability Risks”

Is the (obsessive) focus on the US misplaced?

The key chart

Private sector debt service ratios (1Q23) compared with deviations from respective LT averages since 1999 (Source: BIS; CMMP)

The key message

Private sector “affordability risk” is an increasing focus of attention as we move to a “higher-for-longer” rate environment. The focus typically centres on the US private sector. Is this justified or more a reflection that we live in a highly US-centric world of financial reporting?

The debt service ratio (DSR) is the ratio of interest payments plus amortisations to income. It provides a flow-to-flow comparison ie, the flow of debt service payments divided by the flow of income. The BIS compiles this data using a unified methodological approach, but compilation challenges mean that comparisons that include both the absolute level and the deviation from respective LT averages are more useful than comparisons of absolute levels alone. The chart above plots private sector DSRs (x-axis) for BIS reporting nations in relation to the deviation from LT averages since 1999 (y-axis).

The US private sector DSR was 14.9% at the end of 1Q23. This compares with a LT average of 15.5% and the high of 18.3% recorded in 3Q07. As can be seen, the US private sector DSR is neither high in absolute terms nor in terms of the deviation from its LT average when viewed in a global context.

The latest BIS data release suggests that attention would be focused better on “affordability risks” in developed economies including Canada, Switzerland, Sweden, France and Finland and emerging markets including Brazil, China and Korea instead.  In these cases, the latest DSRs are both high in absolute terms and in relation to their respective LT averages.

Perspective matters….

Please note that the summary comments and chart above are abstracts from more detailed analysis that is available separately.

“Data (In)dependent?”

The risks of ignoring UK private sector credit dynamics

The key chart

Trends in UK PS debt ratio (RHS) and PSC relative growth factor (LHS) (Source: BIS; CMMP)

The key message

Central bank decision-making that appears largely “data independent” in relation to private sector credit dynamics is unlikely to produce positive economic outcomes. Instead, it increases the likelihood of policy errors, especially in credit-driven economies.

It’s far too easy to blame certain individuals here (Bailey, Lagarde, Powell – you chose). The real blame lies more in the persistently flawed nature of macro thinking that frames policy decisions, however.

The fundamental error is to ignore that aggregate demand in a credit-driven economy (like the UK) is equal to income (GDP) PLUS THE CHANGE IN DEBT

(see Schumpeter 1934, Keen 2011).

The addition of the change in debt means that, in reality, aggregate demand is far more volatile than it would be if income alone was its source (as typically assumed). This is especially true for highly indebted economies.

In my analysis, I highlight three key factors when analysing the impact of debt on economic activity: the amount of debt, the rate of change of debt, and its rate of acceleration – each measured in relation to the level of GDP.

The chart above summaries these factors visually for the UK economy. The maroon line shows the UK private sector debt ratio (% GDP), while the blue line shows the rate of growth in credit compared to the rate of growth in nominal GDP (rolling 3Y CAGR).

The first key point is that the UK private sector has been deleveraging from most of the post-GFC period. The private sector debt ratio has fallen from 185% GDP in 1Q10 to 149% GDP in 2Q23.

The second key point is that a slowdown in the rate of growth can be enough to trigger a recession – an absolute fall in debt is not required. With the rate of credit growth below the rate of nominal GDP growth for the past three quarters, the impact of further policy tightening on aggregate demand is likely to be greater than forecast officially.

In short, the risk of policy errors continues to rise.

Data Independent?

The Bank of England (BoE) is likely to raise interest rates for the 15th consecutive time to 5.5% on Thursday 21 September. Policy makers will no doubt stress that inflation in the UK remains too high and that “raising interest rates is how the BoE can help to get inflation back down.” (see, “Why have interest rates in the UK gone up?” BoE website).

Note #1, that the BoE website highlights three variables that policy makers focus on when making decisions:

  1. How fast prices are rising now, and how that is likely to change
  2. How the UK economy is growing now, and how that is likely to change
  3. How many people are in work now, and how that is likely to change

Note #2, the lack of reference here to private sector debt dynamics. This is despite the fact that the BoE also argues that, “higher interest rates make it more expensive for people to borrow money and encourage people to save. Overall, that means people will tend to spend less. If people spend less on goods and services, the prices of those things tend to rise more slowly.”

Part of the problem here is that the impact of private sector debt on economic growth (variable 2) is largely absent for current macro thinking. Hence the assessment of how the UK economy is growing is likely to be based on traditional measures of income (GDP), while ignoring the impact of the change in private sector credit.

Why is this a problem?

The economist Schumpeter argued back in 1934 that, “in a growing economy, the increase in debt funds more economic activity than can be funded by the sale of existing goods and services alone.” Yet critically, traditional policy frameworks typically ignore the fact that:

Aggregate demand in a credit-driven economy is equal to income (GDP) plus the change in debt

As Professor Steve Keen argues,

“this makes aggregate demand far more volatile that it would be if income alone was its source, because while GDP changes relatively slowly, the change in debt can be sudden and extreme. In addition, if debt levels are already high relative to GDP, then the change in the level of debt can have a substantial impact in demand.”

Debunking Economics, Keen 2011

How CMMP analysis views UK debt dynamics

CMMP analysis incorporates a deep understanding of global debt dynamics. This includes not just the level of debt, but also its rate of change and its rate of acceleration – all measured with respect to the level of GDP.

Trends in UK PS debt ratio (RHS) and PSC relative growth factor (LHS) (Source: BIS; CMMP)

The key chart above illustrates these dynamics for the UK since 1983. The maroon line illustrates the private sector debt ratio – debt as a percentage of GDP. The blue line illustrates the 3Y CAGR in private sector credit versus the 3Y CAGR in nominal GDP (the CMMP “relative growth factor”).

The PS debt ratio increased from 68% GDP in 1Q83 to a peak of 185% GDP in 1Q10. The fastest rates of acceleration (peak excess credit growth) occurred in phase 1 (1Q83-1Q91) and phase 3 (1Q97 – 1Q01) as shown by the blue line above. In phase 4 (1Q01-1Q10), the debt ratio continued to rise but the rate of acceleration slowed.

The UK private sector has been deleveraging for most of the post-GFC period. The debt ratio fell to 149% GDP in 1Q23, the lowest level since 2Q02. My preferred RGF has been negative for the past three quarters. In other words, the growth in credit is slower than the growth in GDP.

They key point here is that an absolute fall in debt is not needed to cause problems, a slowdown in the rate of growth can be enough to trigger a recession (a topic that will be discussed in more detail in future posts).

With the rate of credit growth below the rate of nominal GDP growth for the past three quarters, the impact of further policy tightening on aggregate demand is likely to be greater than forecast officially.

In short, the risk of policy errors continues to rise.

Please note that the summary comments and charts above are abstracts from more detailed analysis that is available separately.

“Seven lessons from the money sector in 2022”

What have the “messages from the money sector” taught us?

The key chart

Visual summary of the CMMP framework linking all economic sectors together
(Source: CMMP)

The key message

The true value in analysing developments in global finance lies less in considering investments in banks’ equity and more in understanding the implications of the relationship between the money sector and the wider economy for macro policy, corporate strategy, investment decisions and asset allocation (see key chart above).

The 2022 “messages from the money sector” have taught us a great deal about macro policy (and its flaws), risks to financial stability and the transition from pandemic-economics to economic slowdown/recession in advanced economies.

Macro policy

Over the past twelve months, the money sector has reminded us that flawed macro thinking continues to drive macro policy in many advanced economies (lesson #1). The first flaw is to argue that governments (who enjoy monetary sovereignty) and households face the same spending and budgetary constraints. They do not. The second flaw is to largely ignore private sector debt. In a world that sees public debt as a problem but largely ignores private sector debt, it is common to overlook elevated private sector risks in Sweden, France, Korea, China and Canada (lesson #2). This is a mistake.

Financial stability risks

Among the sample of economies listed above, the banking sectors in China and Korea have the highest exposures to elevated private sector debt risks. Banks and investors share risks more equally in Sweden, France and Canada (lesson #3).

Rising levels of financial inequality are creating very real social, economic and political problems in many developed economies. Lower-income households have less flexibility to adjust their spending in response to rising prices and are less likely to have a cushion of savings to protect them. Does this justify sensational headlines about rising levels of consumer credit? Without playing down the genuine hardship that many are facing now, the answer is no (lesson #4).

Lower-income households hold relatively small shares of mortgage debt and consumer credit. Furthermore, a recovery in demand for consumer credit at the aggregate levels was a positive sign reflecting a normalisation of economic activity during 2022. This does not mean that complacency about rising NPLs is justified, however.

From pandemic-economics to economic slowdown/recession

Monetary cycles in the UK and EA have remained highly synchronised (despite Brexit) and pointed to a clear break from pandemic economics during 2022 (lesson #5).

Consumer credit is losing momentum, however, and sharply slowing real growth rates in money and credit point to slowdown/recession in 2023 (lesson #6).

The UK has already returned to the unsustainable world of pre-pandemic imbalances (lesson #7). The fact that this is an integral part of official forecasts returns us neatly to lesson #1 – flawed macro thinking drives current macro policy.

Thank you for reading and very best wishes for a very happy and healthy New Year

Seven lessons from the money sector in 2022

Lesson #1: flawed macro thinking drives macro policy

Trends in French debt ($bn) broken down by sector
(Source: BIS; CMMP)

Over the past twelve months, the money sector has reminded us that flawed macro thinking continues to drive macro policy in many advanced economies.

The first flaw argues that currency issuers (e.g. governments who enjoy monetary sovereignty) and currency users (e.g. households) face the same spending and budgetary. The second flaw sees public sector debt as a problem but largely ignores private sector debt.

Jeremy Hunt, the latest Chancellor of the Exchequer in the UK, argued recently that, “Families up and down the country have to balance their accounts at home and we must do the same as a government.” He was following in the well-trodden footsteps of Thatcher, Cameron, Osbourne and Sunak before him. In the past, this rhetoric and mistaken belief set was used to justify austerity policies (which had well-documented, negative impacts on UK growth). Such arguments reflect a flawed understanding of how modern monetary systems work. They also ignore the fact that the correct fiscal response is the one that balances the economy not the budget.

Back in February 2022, France’s state auditor sounded the alarm about the impact of pandemic spending on France’s widening budget deficit and rising debt levels (see chart above). The auditor was factually correct to highlight the impact of pandemic spending on the government’s net borrowing but the analysis fell short in three important respects. First, the net borrowing of the French government was a necessary, timely and appropriate response to the scale of the private sector’s net lending/disinvestment. Second, while the outstanding stock of French government debt may be the fourth highest in the world, France ranks much lower in terms of government indebtedness. Third, from a risk and financial stability perspective, CMMP analysis is more concerned about France’s private sector debt dynamics, particularly in the corporate sector (see Lesson #2).

Lesson #2: its a mistake to ignore private debt

Trends in selected economies’ private sector debt ratios (% GDP)
(Source: BIS; CMMP)

In a world that sees public debt as a problem but largely ignores private sector debt, it is common to overlook elevated private sector risks in Sweden, France, Korea, China and Canada. This is a mistake.

Why focus on Sweden, France, Korea, China and Canada?

First, their levels of private sector indebtedness exceed the “peak-bubble” level seen in Japan (214% GDP, 4Q94) and, in the cases of Sweden and France, the peak-bubble level seen in Spain (227% GDP, 2Q10) too. Potential warning sign #1.

Second, in contrast to other economies that exhibit high levels of private sector indebtedness (eg, the Netherlands, Denmark, and Norway) affordability risks are also elevated in these five highlighted economies. Their debt service ratios are not only high in absolute terms (>20% income), they are also elevated in relation to their respective 10-year, average affordability levels. Potential warning sign #2.

Note, finally, that among these five economies, Sweden, Korea and Canada have over-indebted NFC and HH sectors, while the risks in France and China relate more, but not exclusively, to their NFC sectors. When it comes to private sector debt dynamics, the world is far from a homogenous place.

Lesson #3: exposure of Chinese and Korean banks

Trends in selected bank credit ratios (% GDP)
(Source: BIS; CMMP)

Among the sample of economies listed above, the banking sectors in China and Korea have the highest exposures to elevated private sector debt risks. Banks and investors share risks more equally in Sweden, France and Canada.

In China, bank credit accounts for 84% of total private sector credit and the bank credit ratio of 184% GDP exceeds the peak-Spanish bank credit ratio of 168% GDP. Similarly, in Korea bank credit accounts for 73% of total private sector credit. The bank credit ratio of 161% GDP is slightly below the peak-Spain level but well above the peak-Japan level of 112%

In contrast, risks in Sweden, France and Canada are shared more equally between banks and investors (see chart above). Bank sector credit accounts for 51%, 50% and 49% of total private sector credit in Sweden, Canada and France respectively (reflecting the greater development of alternative sources of credit in advanced economies).This does not mean that banks are not exposed, however. The bank credit ratio in Sweden is 138% GDP, above the peak-Japan level. In France and Canada these ratios are the same or slightly below the peak-Japan level (112% GDP and 109% GDP respectively).

Lesson #4: the risks of rising financial inequality

Share of outstanding mortgages and consumer credit by UK income decile
(Source: BoE; CMMP)

Rising levels of financial inequality are creating very real social, economic and political problems in many developed economies. Lower-income households have less flexibility to adjust their spending in response to rising prices and are less likely to have a cushion of savings to protect them. Does this justify sensational headlines about rising levels of consumer credit? Without playing down the genuine hardship that many are facing now, the answer is no.

Lower-income households hold relatively small shares of mortgage and consumer credit in the UK and EA, for example. In the UK, the bottom-three income deciles account for 5% and 8% of the outstanding stock of mortgages and consumer credit respectively. Similarly in the euro area, the bottom-two income quintiles account for 13% of total household debt, albeit with significant variations at the country level. Furthermore, at the aggregate level, a recovery in demand for consumer credit is a positive sign reflecting a normalisation of economic activity rather than a sign of systemic stress/economic weakness.

This does not mean that complacency about rising NPLs is justified. According to the latest OBR forecasts, for example, the household debt servicing cost in the UK is set to rise from £60bn at the end of 4Q22 (3.8% of disposable income) to £107bn at the end of 4Q23 (6.6% of disposable income) and £125bn at the end of 4Q24 (7.5% of disposable income). Beyond that, the debt service ratio is assumed to stabilise at around 7.5% of disposable income. High but (perhaps conveniently?) below the 9.7% level seen at the time of the GFC.

Lesson #5: the break for pandemic-era economics

Trends in UK and EA broad money growth (% YoY)
(Source: BoE; ECB; CMMP)

Monetary cycles in the UK and EA have remained highly synchronised (despite Brexit) and pointed to a clear break from pandemic economics during 2022.

Pandemic-era economics was characterised by a spikes in broad money driven by the hoarding of cash by HHs and NFCs, subdued credit demand and a record desynchronization of money and credit cycles.

Broad money growth has slowed from a peak of 15.4% to 5.6% in the UK and from a peak of 12.5% to 5.1% in the EA. HHs and NFCs have stopped hoarding cash, monthly consumer credit flows have recovered and money and credit cycles have re-synched with each other. Mortgage demand, the key driver of so-called FIRE-based lending is also slowing, notably in the EA.

Lesson #6: lower consumer momentum and slower growth

Monthly consumer credit flows as a multiple of pre-pandemic average flows
(Source: FED; BoE; ECB; CMMP)

Consumer credit is losing momentum, however, and sharply slowing real growth rates in money and credit point to slowdown/recession in 2023.

Recall that in the face of falling real disposable incomes, HHs can either consume less, save less and/or borrow more – or a combination of these behaviours.

In relation to pre-COVID trends, US consumers repaid less consumer credit during the pandemic and have borrowed much more in the post-pandemic period than their UK and EA peers. Monthly flows of US consumer credit peaked at $45bn in March 2022 at 3x their pre-pandemic levels. According to the latest data release, they fell to $27bn in October 2022 but remain almost double pre-pandemic levels.

The messages from the respective money sectors is that downside risks to consumption remain more elevated in the EA and the UK where monthly consumer credit flows have already fallen back below pre-pandemic levels.

Real growth rates in M1, HH credit and NFC credit typically display leading, coincident and lagging relationships with real GDP. Each indicator is falling at an increasing rate in the UK and the EA. If historic relationships between these variables continue, this suggests a sharp deceleration in economic activity over the next quarters.

Lesson #7: the UK returns to the unsustainable pre-COVID world

Trends and forecasts for UK sector financial balances (% GDP)
(Source: OBR; CMMP)

The UK returned to the unsustainable world of pre-COVID economics with twin domestic sector deficits counterbalanced by significant current account deficits in 2022. The OBR expects these dynamics to continue throughout its forecast period to March 2028.

The good news for Jeremy Hunt, the Chancellor of the UK, is that the net financial deficit of the UK public sector is forecast to fall sharply and to trend to c2-3% of GDP throughout their forecast period. The bad news for UK households is that their net financial position is forecast to fall from its recent (and typical) surplus to sustained deficits of between 0.1% and 0.4% GDP. In short, the UK is set to become a nation of non-savers with households also spending more of their income on servicing their debt.

To return to the first lesson of 2022, the lack of appropriate health warnings and the implied structural shift in risk away from the public sector to the private sector here reflects either flaws in macro thinking and policy making and/or the heavy hand of reverse engineering. Neither are good news.

Please note that the summary comments and charts above and below are abstracts from more detailed analysis that is available separately.

“Update required – Part IVa”

How exposed are banking sectors to elevated private sector credit risks?

The key chart

Trends in selected bank credit ratios (% GDP)
(Source: BIS; CMMP)

The key message

How exposed are banking sectors to elevated private sector debt risks in Sweden, France, Korea, China and Canada?

Recall that these five economies have private sector debt ratios that exceed the “peak-bubble” level seen in Japan in 4Q94 and debt service ratios that are not only high in absolute terms but are also elevated in relation to their respective 10-year, average affordability levels. Twin warning signs.

The banking sectors in China and Korea have the highest exposures to elevated private sector debt risks among this sample (see key chart above):

  • China: bank credit accounts for 84% of total private sector credit and the bank credit ratio of 184% GDP exceeds the peak-Spanish bank credit ratio of 168% GDP;
  • Korea: bank credit accounts for 73% of total private sector credit. The bank credit ratio of 161% GDP is slightly below the peak-Spain level but well above the peak-Japan level of 112%.
Selected private sector credit ratios (% GDP) broken down by bank and non-bank credit
(Source: BIS; CMMP)

In contrast, risks in Sweden, France and Canada are shared more equally between banks and investors (see chart above). Bank sector credit accounts for 51%, 50% and 49% of total private sector credit in Sweden, Canada and France respectively (reflecting the greater development of alternative sources of credit in advanced economies).

This does not mean that banks are not exposed, however. The bank credit ratio in Sweden is 138% GDP, above the peak-Japan level. In France and Canada these ratios are the same or slightly below the peak-Japan level (112% GDP and 109% GDP respectively).

In short, risks remain real and elevated. In a world, that sees public sector debt as a problem but largely ignores private sector debt, this matters, or at least it should do…

Please note that the comments and charts above are abstracts from more detailed research that is available separately.

“Update required – Part III”

The second 2017 chart in need of a refresh

The key chart

Trends in bank credit to the private non-financial sector in Japan, Spain and China (% GDP) (Source: BIS; CMMP)

The key message

This is the second chart from 2017 that needs updating. It follows directly from the first chart that illustrated how China was following in the footsteps of Japan and Spain in terms of private sector debt dynamics (see “Update required – Part I”).

The purpose of the second chart was to contrast the exposure of Spanish and Chinese banks to private sector indebtedness with the exposure of Japanese banks at the time of the Japanese debt bubble in the 1990s. It illustrated trends in bank credit to the private non-financial sector expressed as a percentage of GDP.

Trends in Japanese PS debt ratio (% GDP) and Bank credit to PS ratio (% GDP)
(Source: BIS; CMMP)

Japanese private sector indebtedness peaked in 4Q94 at 214% GDP. At the time, bank credit was 112% GDP, or 52% of total private sector debt. In other words, banks and investors largely shared Japanese private sector debt risks equally (see chart above).

In contrast, when Spanish private sector indebtedness peaked at 227% in 2Q10, bank credit was 168% GDP, or 74% of total private sector debt (see chart below).

Trends in Spanish and Chinese PS debt ratios (% GDP) and Bank credit to PS ratios (% GDP)
(Source: BIS; CMMP)

When I first published the chart above, Chinese private sector indebtedness was 202% of GDP. Bank credit was 157% GDP, or 77% of total private sector debt (see chart above).

In short, Spanish and Chinese banks were more exposed to excess private sector indebtedness than their Japanese peers had been before them. This reflected not only the relatively high level of indebtedness, but also the relatively important roles played by Spanish and Chinese banks in terms of the supply of credit to the private sector.

This leads to two obvious questions:

  1. What has happened to China’s private sector debt dynamics subsequently and how exposed is the banking sector today?
  2. How exposed are the Swedish, French, Korean and Canadian banking sectors to the elevated private sector indebtedness levels, highlighted in “Update required – Part II”?

“Update required – Part II”

Five economies to watch – elevated private sector debt risks

The key chart

Trends in selected economies’ private sector debt ratios (% GDP)
(Source: BIS; CMMP)

The key message

While the private sector is deleveraging (passively) at the global level, elevated risks remain in Sweden, France, Korea, China and Canada. Unfortunately, these risks may be overlooked in a world that sees public sector debt as a problem but largely ignores private sector debt. That would be a mistake.

Why focus on Sweden, France, Korea, China and Canada?

First, their levels of private sector indebtedness exceed the “peak-bubble” level seen in Japan (214% GDP, 4Q94) and, in the cases of Sweden and France, the peak-bubble level seen in Spain (227% GDP, 2Q10) too. Potential warning sign #1.

Second, in contrast to other economies that exhibit high levels of private sector indebtedness (eg, the Netherlands, Denmark, and Norway) affordability risks are also elevated in these five highlighted economies. Their debt service ratios are not only high in absolute terms (>20% income), they are also elevated in relation to their respective 10-year, average affordability levels. Potential warning sign #2.

Note, finally, that among these five economies, Sweden, Korea and Canada have over-indebted NFC and HH sectors, while the risks in France and China relate more, but not exclusively, to their NFC sectors. When it comes to private sector debt dynamics, the world is far from a homogenous place…

Update required – Part II

Trends in global private sector debt ($tr) and debt ratio (% GDP, RHS)
(Source: BIS; CMMP)

Global private sector indebtedness (debt % GDP) fell between 2Q21 (172% GDP) and 2Q22 (160% GDP) according to the latest BIS data release (5 December 2022).

This was a form of passive deleveraging ie, total debt increased over the period (from $142tr to $143tr) but at a slower pace that nominal GDP (see chart above). Both corporate (NFC) and household (HH) debt ratios fell over the period.

Private sector debt ratios (% GDP) as at the end of 2Q22
(Source: BIS; CMMP)

While China ($39tr) and the US ($38tr) collectively account for 54% of total private sector debt, they rank only #9 and #22 in terms of indebtedness. As noted many times before, debt and indebtedness are not the same things.

The most indebted private sectors among the BIS reporting economies are Luxembourg, Hong Kong, Switzerland, Sweden, the Netherlands, France, Denmark, South Korea, China, Canada. Norway and Singapore. In each case, private sector credit exceeded 200% of GDP at the end of 2Q22 (see chart above).

HH debt ratios (% GDP) plotted against NFC debt ratios for 2Q21 and 2Q22
(Source: BIS; CMMP)

This highlighted group of relatively indebted private sectors are far from homogenous, however:

  • Luxembourg, Hong Kong, Singapore and Switzerland have unique “financial roles” that differentiate them from the other economies, for example;
  • Among the remaining nations only China and South Korea experienced increases in both NFC and HH indebtedness between 2Q21 and 2Q22;
  • All of them have relatively indebted NFC sectors (NFC debt >90% GDP), but Switzerland, the Netherlands, Denmark, Korea and Canada also have “overly-indebted” HH sectors (HH debt > 85% GDP)
  • In contrast, France, China, Norway and Singapore have “overly indebted” NFC sectors, but less elevated HH debt ratios
Trends in selected economies’ private sector debt ratios (% GDP)
(Source: BIS; CMMP)

Returning to the theme of history repeating itself and/or rhyming, I have chosen to highlight private sector dynamics in Sweden, France, South Korea, China and Canada for two reasons – their level of private sector indebtedness in relation to trends observed during debt bubbles in Japan and Spain, and their associated and elevated affordability risks.

Private sector debt levels peaked at 214% GDP in Japan and 227% GDP in Spain at the height of their respective private sector debt bubbles (in 4Q94 and 3Q10 respectively).

At the end of 2Q22, private sector debt levels in Sweden (269% GDP) and France (231% GDP) exceeded the peak levels in both Spain and Japan while the private sector debt levels in Korea (222% GDP), China (220% GDP) and Canada (220% GDP) exceeded the peak level in Japan but remained below the Spanish peak.

Note again that among these five economies, Sweden, Korea and Canada have over-indebted NFC and HH sector, while the risks in France and China and relate more, but not exclusively, to their NFC sectors.

Debt service ratios – deviation from 10Y ave versus current level as at end 2Q22
(Source: BIS; CMMP)

Private sector debt service ratios in Sweden, Canada, South Korea, France and China are not only high in absolute terms (ie, > 20%), but they also exceed their 10-year average levels. In contrast, while DSRs in the Netherlands, Norway and Denmark appear relatively high in absolute terms, there are below their respective 10-year averages. Note that due to comparability issues between DSR calculations, the BIS prefers to focus on deviations from LT averages when assessing affordability risks.

Conclusion

While the private sector is deleveraging (passively) at the global level, elevated risks remain in Sweden, France, Korea, China and Canada. Unfortunately, these risks may be overlooked in a world that sees public sector debt as a problem but largely ignores private sector debt. That would be a mistake.

Please note that the summary comments and charts above are abstracts from more detailed analysis that is available separately.