“Global debt dynamics post-Covid – Part 2”

Asian debt dynamics revisited

The key chart

The central focus remains on the shift in risk to the Chinese and Indian HH sectors (trends in relative growth factors for the HH and NFC sectors 2014-2019)
Source: BIS; Haver; CMMP analysis

The key messages

As the COVID-19 pandemic hit Asia, the risks associated with the level, growth and affordability of debt varied considerably across the region.

The divergence in debt levels in Asia is well known – in relation to BIS “threshold levels”, Korea has relatively high levels of HH and NFC debt, Australia and New Zealand relatively high levels of HH debt, and Hong Kong, China, Singapore and Japan have relatively high levels of NFC debt.

The level of debt is only one part of the story, however, and the risks involved are understood better, when the level of debt is compared to its growth rate. For EM as a whole, the risks associated with “excess credit growth” increased in 4Q19, but remained much lower than in previous cycles. The striking feature in Asia is that relatively high excess growth risks are concentrated in economies where debt levels are already relatively high (Hong Kong, Korea and, to a lesser extent Singapore).

Across EM, excess growth risks have shifted from the NFC to the HH sector. In China, Hong Kong and India, the CAGR in HH credit has exceeded the CAGR in nominal GDP by 6ppt over the past three years. In 1Q20, China’s HH credit growth has slowed in absolute terms but has outstripped nominal GDP growth resulting in a further increase in the HH debt ratio from 54% in 4Q19 to 62% in 1Q20. Indian HH debt, largely housing finance, also continued to grow strongly in 1Q20 but slowed more clearly in April 2020.

Finally, the risks associated with the affordability of debt are elevated in Hong Kong and China where debt service ratios are high in absolute terms and in relation to their historic LT trends.

Asia remains a very heterogeneous region in terms of debt dynamics and associated risks, but the key central focus remains on the Chinese and Indian HH sectors.

Please note that the summary comments above are extracts from more detailed analysis that is available separately

The other key charts

The divergence in debt levels across Asia is well known, as are the risks associated with excess HH and NFC debt levels (red lines indicate BIS “threshold levels”)
Source: BIS; Haver; CMMP analysis
Excess growth risks have increased but remain much lower than in previous cycles (trends in EM 3-year RGFs since 2002)
Source: BIS; Haver; CMMP analysis
The striking feature in Asia – high excess growth rates are concentrated in economies where debt levels are already relatively high (3-year RGF analysis)
Source: BIS; Haver; CMMP analysis
Divergent trends in RGFs in China, Hong Kong, Korea and Singapore
Source: BIS; Haver; CMMP analysis
Excess growth risks have shifted from the NFC to the HH sector across EM
Source: BIS; Haver; CMMP analysis
China, Hong Kong and India exhibit the highest excess growth risks in the HH sector (4Q19)
Source: BIS; Haver; CMMP analysis
China’s HH debt ratio continues to rise sharply in 1Q20
Source: National Bureau of Statistics; Haver; CMMP analysis
Indian HH credit growth outstripping growth in wider non-food credit (YoY growth in real terms)
Source: Haver; CMMP analysis
Affordability risks concentrated in Hong Kong and China – DSRs high in absolute terms (x-axis) and in relation to LT trends (y-axis)
Source: BIS; Haver; CMMP analysis

“Global debt dynamics post-Covid – Part 1”

Appropriate and necessary responses cannot hide on-going vulnerabilities

The key chart

Government debt ratios are expected to increase to new highs and by more than in response to the GFC- breakdown by region in percentage points for 2020
Source: IMF; CMMP analysis

Summary

The level, growth, affordability and structure of debt are key drivers of LT investment cycles. Global debt levels and debt ratios were already at all time highs (levels), or very close to them (ratios), when the Covid-19 pandemic hit. The exception here was the euro area (EA) which remained, “trapped by its debt overhang and out-dated policy rules.

Policy makers have introduced extraordinary fiscal and monetary policy measure in response to the crisis that have, in many cases, exceeded the measures introduced in the aftermatch of the GFC. These measures have been appropriate and necessary but cannot hide on-going regional and country vulnerabilities. Despite relatively high debt levels, advanced economies are positioned better than emerging and LIDC economies thanks to their ability to borrow at historically low rates that are likely to remain even after Covid-shutdowns end.

The EA policy response has been impressive in scale but assymetric in delivery and risk. Government debt levels across the EA are forecast to increase by between 4ppt and 24ppt taking the aggregate government debt ratio above 100% GDP. A major complicating factor here, is that the countries with the weakest economies, which includes those that have been hit hardest by the virus, have limited fiscal headroom to do “whatever it takes” to stimulate their economies. The sustainability of government debt levels in these economies is at risk of a more severe and prolonged downturn. The enduring myth that this is “the hour of national economic policy” means that this risk cannot be fully discounted. While the balance of power is shifting towards a common-European solution, execution risks remain.

Investment returns, including the impact of country and sector effects, will be driven by how this debate concludes as will the future of the entire European project.

Responses and vulnerabilities

The level, growth, affordability and structure of debt are key drivers of LT global investment cycles with direct implications for: economic growth; the supply and demand for credit; money, credit and business cycles; policy options; investment risks and asset allocation.

Global debt levels and debt ratios were already at, or close to, all-time highs when Covid-19 hit
Source: BIS; Haver; CMMP analysis

Global debt levels and debt ratios were at all time highs (levels), or very close to them (ratios), when the Covid-19 pandemic hit global economies. At the end of 2019, global debt totalled $191trillion of which $122trillion (64%) was private sector debt and $69trillion (36%) was public sector debt. Private sector debt included $57trillion (46%) of debt from advanced economies excluding the euro area (EA), $23trillion (18%) of EA debt, $15trillion (12%) of debt from emerging economies excluding China and $29trillion (24%) of Chinese debt.

“Global debt is shifting east” – trends and breakdown of private sector debt 1999-2019 ($billions)
Source: BIS; Haver; CMMP analysis

The breakdown of global debt is largely unchanged since previous analysis. The total debt ratio (debt as a % of GDP) was 243% at the end of 2019, very close to its 3Q16 high of 245% GDP. Similarly, the global PSC debt ratio of 156% was also very close to its 3Q18 high of 159% of GDP. Total EM and Chinese debt ratios both hit new highs of 194% GDP and 259% of GDP respectively.

Trends in global and EA total debt and PSC debt ratios since 2004 – develeraging in the EA began later and has been more gradual than in other advanced economies
Sourrce: BIS; Haver; CMMP analysis

The exception here was the euro area (EA) which remained, “trapped by its debt overhang and out-dated policy rules.” EA total debt and private sector debt ratios both peaked in 3Q15 at 281% and 172% respectively. At the end of 2019 these ratios had fallen to 262% and 165% respectively but remained above the respective global averages of 245% and 156%. As detailed in “Are we there yet?”, high debt levels help to explain why money, credit and business cycles in the EA are significantly weaker than in past cycles, why inflation remains well below target, and why rates have stayed lower for longer than many expected. In spite of this, the collective pre-crisis fiscal policy of the EA nations was (1) about as tight as any period in the past twenty years and (2) was so at a time when the private sector was running persistent net financial surpluses (largely above 3% GDP) since the GFC. A policy reboot in the EA was overdue even before the pandemic hit.

Covid-19 elevated the need for fiscal policy action to unprecedented levels (global budget deficit as a percentage of GDP, broken down by region)
Source: IMF; CMMP analysis

Policy makers have introduced extraordinary fiscal and monetary policy measures in response to the crisis that have, in many cases, exceeded the measures introduced in the aftermath of the GFC. IMF forecasts suggest that the aggregate, global fiscal deficit will total -6.5% of GDP in 2020e versus -4.9% in 2009. The US will be the main driver (-2.37% GDP 2020e versus -1.63% 2009), followed by the EA (-1.01% GDP versus -0.85% GDP), China (-1.0% GDP versus –0.15%), emerging economies (-0.65% GDP versus -1.09% GDP) and the RoW (-1.17% GDP versus -1.20% GDP).

Global debt ratios expected to hit new highs (% GDP) in 2020e
Source: IMF; CMMP analysis

As a result, government debt ratios are expected to reach new highs in 2020e of 96% of GDP a rise of 13ppt over 2019. Advanced economies’ government debt is expected to reach 122% GDP versus 105% in 2019 and 92% in 2009. Emerging markets’ government debt is expected to reach 62% GDP versus 53% in 2019 and 39% in 2009. LIDC government debt is expected to reach 47% GDP versus 43% in 2019 and 27% in 2009.

EM and LIDC debt levels remain relatively low in comparison with advanced economies, but are growing rapidly in contrast to more stable trends in advanced economies
Source: IMF; CMMP analysis

While these responses have been necessary and appropriate, they have also exposed underlying vulnerabilities relating to the starting position of individual regions and countries with the advanced world being having greater reslience than emerging and LIDC economies (IMF classifications). The effectiveness of fiscal responses is a function of the level of debt, the cost of servicing that debt, economic growth and inflation. While debt levels in emerging and LIDC ecomomies remain relatively low in comparision with advanced economies they have continued to grow rapidly in contrast to the more stable trends in advanced economies (at least up until 2020).

LIDC borrowing costs have risen sharply and have become more volatile (interest expense to tax revenue)
Source: IMF; CMMP analysis

Governments in advanced economies are able to borrow at historically low rates and these rates are forecast to remain low for a long period even after the Covid-induced shutdowns end (IMF, Global Financial Stability Review, April 2020). In contrast, for many frontier and emerging markets (and, at times, some advanced economies), borrowing costs have risen sharply and have become more volatile since the coronavirus began spreading globally (IMF, Fiscal Monitor, April 2020). These contrasting trends are illustrated in the graph above which shows IMF forecasts of LIDC interest to tax revenue ratios increasing from 20% in 2019 to 33% in 2020e. This compares with a ratio of 12% in 2009 and the current ratio of 10% for advanced economies (which is largely unchanged since 2009 despite the increase in government debt levels).

Trends in EA budget deficits (% GDP) – the EA policy response has been impressive in scale
Source: European Commission; Haver; CMMP analysis

The EA policy response has been impressive in scale but assymetric in delivery and risk. All member states have introduced fiscal measures aimed at supporting health services, replacing lost incomes and protecting corporate sectors. Measures have included tax breaks, public investments and fiscal backstops including public guarantees or credit lines. According to European Commission forecast, the 2020e budget deficit for the EA will total -8.5% of GDP but will vary widely from between -4.8% in Luxembourg to -11.1% in Italy. The ECB notes that, while this projected headline is signficantly larger than during the GFC, it is comparable to the relative decline in GDP growth.

Debt levels across the EA are forecast to increase by between 4ppt (Luxembourg) and 24ppt (Italy), taking the aggregate EA government debt ratio to 103% GDP in 2020e. In its May 2020 Financial Stability Review, the ECB also notes that a number of countries, including Italy, Spain, France, Belgium and Portugal, “face substantial debt repayments needs over the next two years”. The key point here is that while current fiscal measures are important in terms of mitigating against the cost of the downturn and hence providing some defence against debt sustainability concerns, a worse-than-expected recession would give rise to debt sustainability risks in the medium term.

“Limited headroom” – forecast changes in government debt to GDP ratios plotted against 2019 actual debt to GDP ratios
Source: European Commission; Haver; CMMP analysis

A major complicating factor here is that the countries with the weakest economies, which includes those that have been hit hardest by Covid-19, have limited fiscal headroom to do whatever it takes to stimulate their economies. The largest percentage point increased in government debt ratios are forecast to occur in Italy (24ppt), Greece (20ppt), Spain (20ppt) and France (18ppt) – compared with an increase of 17ppt for the EA as a whole – economies that ended 2019 with above average government debt to GDP ratios (135%, 177%, 95% and 98% GDP respectively).

Differences in funding costs for different EA economies versus Germany (spread in respective 10Y bond yields in ppt, 26 May 2020)
Source: Haver; CMMP analysis

The sustainability of government debt levels in already highly indebted EA countries would be put at risk by a more severe and prolonged economic downturn. Funding costs are already higher in Greece (2.1ppt), Italy (2.0ppt), Spain (1.2ppt) and Portugal (1.1ppt) than in Germany based on current 10Y bond yields and more volatile – see graph of the spread between Italian and German 10Y bond yields below.

The spread between Italian and German 10Y bond yields continues to be volatile, highlighting the on-going debt sustainability risks (spread in ppt)
Source: Haver; CMMP analysis

The enduring myth that this is “the hour of national economic policy” means that these risks cannot be discounted. The May 2020 Bundesbank Monthly Report states, for example, that, “fiscal policy is in a position to make an essential contribution to resolving the COVID19 crisis. [But] This is primarily a national task.” This view is also supported by the so-called “frugal four” ie, the Netherlands, Austria, Denmark and Sweden who have been opposed to various “common solutions”, most recently the EC proposal to issue joint debt to fund grants to those countries hit hardest by the crisis.

The EC is supported, however, by the ECB. In a recent interview, Christine Lagarde, the President of the ECB, argues that, “The solution, therefore, is a European programme of rapid and robust fiscal stimulus to restore symmetry between the countries when they exit from the crisis. In other words, more help must be given to those countries that need it most. It is in the interests of all countries to provide such collective support.”

The balance of power is shifting towards a common-European solution recently but execution risks remain. As I write this post (27 May 2020), Ursual von der Leyen, the EC President, has announced plans to borrow €750bn to be distributed partly as grants (€500bn) to hard-pressed member states – the “Next Generation EU” fund. Added to her other plans, this would bring the total EA recovery effort to €1.85trilion.

The scale of this intervention/borrowing is unprecedented and includes plans to establish a yield curve of debt issuance with maturities out to 30 years. Repayments would not start until 2028 and would be completed by 2058. France’s President Macron was among EA leaders who quickly welcomed this proposal and pressure is mounting on the so-called “frugal four” countries – Austria, Denmark, the Netherlands and Sweden – to soften their opposiion to the use of borrowed money for grants.

Investment returns, including the impact of country and sector effects, will be driven to a large extent by how this debate concludes, as will the future of the entire European project.

Please note that the summary comments above are extracts from more detailed analysis that is available separately

“Too much, too soon?”

China’s HH debt in the spotlight

The key chart

China’s HH credit growth continues to outstrip GDP growth (8ppt) despite the fact that the HH debt ratio (56%) is already close to the average for all BIS reporting countries (60%)
Source: National Bureau of Statistics; Haver; CMMP calculations

Summary

The PBOC published its annual Financial Stability Review (2019) this week in which it highlighted the risks associated with the rapid accumulation of household (HH) debt in China. It noted that, “the debt risks of the household sector and some low-income households in some regions are relatively prominent and should be paid attention to.” (Financial Times, 2019). This supports my recent analysis of debt sustainability in Asia, in which I concluded that “relatively high excess HH growth rates in India and China remain a key focus point.

I understand* that the PBOC’s analysis considers the period up to the end of 2018. In this post, I analyse how these risks have developed over the first three quarters of 2019 and conclude that they remain considerable. China’s HH debt ratio has risen further during 2019, with HH credit growing 9ppt faster than GDP on a three year CAGR basis. The rate of “excess credit growth” has moderated very slightly, but is still of concern given that China’s HH debt ratio (56%) is now close to the average HH debt ratio (60%) for all BIS reporting countries.

My analysis highlights two key points: (1) the level of debt needs to be considered in relation to its rate of growth (and its affordability and structure); and (2) even, in the most benign outcome, China’s increasing HH debt burden represents a key headwind for economic growth and the transition to a consumption-driven economy.

(* n.b. I have been unable to find an English version of the 2019 FSR, so my comments on its content here are based on secondary sources)

A review of last month’s analysis

High excess HH credit growth in India and China remain a key focus point (3-year CAGR RGF analysis)
Source: BIS; Haver; CMMP analysis

Last month I concluded that:

“In summary, the risk associated with excess credit growth across EM are lower than in previous cycles. Asia stands out, however, because the highest rates of growth have occurred in economies that already have high debt ratios. In China and Hong Kong, these risks are compounded by high debt service ratios indicating rising “affordability” risks. RGFs in both economies are adjusting sharply lower in response. Risks in intermediate and emerging Asian economies appear lower, but the relatively high excess HH growth rates in India and China remain a key focus point.

Excess credit growth dynamics show divergent trends in the HH and NFC sectors in China – the NFC sector is adjusting, the HH sector is not.
Source: BIS; Haver; CMMP analysis

2019 update (as at end 3Q19)

Nominal HH credit growth is slowing but remains high (17% average monthly YoY growth YTD)
Source: National Bureau of Statistics; Haver; CMMP analysis

HH credit has continued to grow strongly YTD. The average monthly YoY growth rate was 17% in nominal terms over the first nine months of 2019. This compares with an average of 19% for the full year 2018. HH credit growth continues to exceed nominal GDP growth – by 8ppt in 3Q19. As highlighted above, this is despite the fact that China’s HH debt ratio of 56% (3Q19 estimate) is closing rapidly on the average HH debt ratio for all BIS reporting economies.

The key chart repeated. There is little sign that excess credit growth is slowing sufficiently (red bars) despite the fact that the HH debt level (blue line) has closed rapidly on the BIS average for all reporting economies
Source: National Bureau of Statistics; Haver; CMMP analysis

Experience suggests that the key risk here is less to do with the level of debt and more to do with its rate of growth. In “Sustainable debt dynamics“, I introduced the simple concept of relative growth factor (RGF) analysis that I have used since the 1990s as a first step in analysing the sustainability of debt dynamics. In short, this approach compares the rate of “excess credit growth” with the level of debt penetration in a given economy. Red flags are raised when excess credit growth continues in economies that exhibit relatively high levels of leverage.

The rate of excess HH credit growth is slowing but remains unsustainably high (3Y RGF analysis)
Source: National Bureau of Statistics; Haver; CMMP analysis

The trend in China’s HH RGF is illustrated in the chart above (rolling 3Y basis). The rate of excess HH credit growth has slowed in relation to recent history but remains unsustainably high in absolute terms, in my experience. At the recent peak, HH credit was growing 11ppt faster than nominal GDP (4Q17), hence the steep gradient in the earlier chart illustrating the HH debt ratio. As at the end of 3Q19, my estimates suggest that this excess growth rate has slowed to 9%.

Conclusion

As a macro and monetary economist, I start by analysing the level of debt in absolute terms and in the context of its rate of growth, affordability and structure. In my experience, this is the most important feature of the LT secular investment outlook with direct implications for: economic growth; the supply and demand for credit; money, credit and business cycles; policy options investment risks and asset allocation.

The risks associated with excess HH credit growth in China remain elevated and this analysis presents a relatively extreme example of the importance of considering the level of debt together with its rate of growth. History suggests that current trends in China are unsustainable. The most benign outcome is that the rate of growth in HH borrowing slows more rapidly with negative implications for consumption and aggregate demand. In short, China’s increasing HH debt burden represents a key headwind in the transition to a consumption-driven economy.

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

“Sustainable debt dynamics” – Asia private sector credit

Global finance is shifting East but are current Asian PSC debt dynamics sustainable?

The key chart

Figure 1: A striking feature in Asia is that the highest levels of “excess credit growth” (3-year RGF 1Q19) have occured in economies where debt ratios are already high
Source: BIS; Haver; CMMP analysis

Summary

In “The Changing Face of Global Debt”, I argued that global finance was shifting East and towards emerging markets. In this post, I summarise my analysis of the sustainability of current Asian PSC trends. The key points:

  • Classifications of Asian economies as either “advanced” or “emerging” economies are over-simplistic and unhelpful
  • Relative growth factor (RGF) analysis provides a simple, first tool for assessing the sustainability of debt dynamics
  • The risks associated with “excess credit growth” across EM are much lower than in previous cycles
  • The striking feature in Asia, however, is the fact that the highest levels of “excess credit growth” have occurred in economies that already exhibit high debt levels (Hong Kong, China, Korea and Japan)
  • In Hong Kong and China, these risk are compounded by debt service ratios that are close to peak levels and well above LT averages (“affordability risk”)
  • RGF-related risks appear relatively low in Asia’s two large and “genuine emerging markets” – India and Indonesia
  • Relatively high excess HH growth rates in India and China remain a key focus point.

Time for new classifications?

The BIS classifies Asian reporting countries into two categories: three “advanced” economies (Japan, Australia and New Zealand) and eight “emerging” economies (China, Hong Kong, India, Indonesia, Korea, Malaysia, Singapore and Thailand).

Such broad classifications are unhelpful, at best, and inaccurate, at worst. The classification of Japan, Australia and New Zealand as advanced economies is logical but masks different exposures to HH (Australia and New Zealand) and NFC (Japan) debt dynamics.

Figure 2: HH and NFC debt ratios (% GDP) for Asian reporting economies plotted against BIS threshold levels (in red)
Source: BIS; Haver; CMMP analysis

The grouping of China, Hong Kong, India, Indonesia, Korea, Malaysia, Singapore and Thailand together as emerging economies is more troublesome as it ignores the wide variations in market structure, growth opportunities, risks and secular challenges.

I prefer to consider China, Korea, Hong Kong and Singapore as unique markets. China is unique in terms of the level, structure and drivers of debt and in terms of the PBOC’s policy responses. Korea is unique in terms of having NFC and HH debt ratios that exceed both advanced economy averages and the BIS thresholds above which debt becomes a drag on future growth. Hong Kong and Singapore are both distinguished by their roles as regional financial centres but have different HH debt dynamics.

Malaysia and Thailand can be considered intermediate markets given that either both HH and NFC debt ratios (Malaysia) or one debt ratio (Thailand HH) exceed the average for emerging markets ex China. This leaves India and Indonesia as genuine emerging markets among the BIS reporting economies, with debt ratios below the emerging markets ex China average and well below BIS threshold levels (see Figure 2 above).

RGF analysis – “excess credit growth”

The theory

I have used the simple concept of relative growth factor (RGF) analysis since the early 1990s as a first step in analysing the sustainability of debt dynamics. In short, this approach compares the rate of “excess credit growth” with the level of debt penetration in a given economy.

The three year CAGR in debt is compared with the three year CAGR in nominal GDP to derive a relative growth factor. This is then compared with the level of debt expressed as a percentage of GDP (the debt ratio).

The concept is simple – one would expect relative high rates of “excess credit growth” in economies where the level of leverage is relatively low and vice versa. Conversely, red flags are raised when excess credit growth continues in economies that exhibit relatively high levels of leverage.

Low average risk in EM
Figure 3: Risks associated with “excess credit growth” across emerging markets are lower than in previous cycles (Trends in EM 3-year RGFs since March 2002)
Source: BIS; Haver; CMMP analysis

Figure 3 above, illustrates rolling 3-year RGF trends for EM economies highlighting previous unsustainable levels that peaked in 1Q04, 3Q09, 4Q11 and 2Q15. The current excess growth rate of 1.3% suggests, however, that EM sustainability risks are relatively low. If anything, the lack of growth/slowing growth are more immediate challenges

How does Asia stand out?
Figure 4: The key chart repeated! Asia RGF analysis illustrated as at end 1Q19 (3-year CAGR)
Source: BIS; Haver; CMMP analysis
Spotlight on Asia’s unique markets

A striking feature across Asia has been that some of the fastest rates of excess credit growth have occurred in economies where debt levels are already very high – Hong Kong, China, Korea and Japan (see Figure 4 above).

Figure 5: Trends in RGF for Asian economies with already high PSC debt ratios. China and Hong Kong slowing rapidly, Japan recovering.
Source: BIS; Haver; CMMP analysis

The level of excess credit growth is already slowing sharply in Hong Kong and China from peak levels in excess of 6% (Figure 5). With debt service ratios in both economies close to peak levels and well above LT averages (Figures 6 and 7) a return to recent periods of excess growth is (1) unlikely and/or (2) would be associated with high levels of risk.

Figure 6: Hong Kong’s PSC debt service ratio is close to its historic high and well above LT average
Source: BIS; Haver; CMMP analysis
Figure 7: China’s PSC debt service ratio is also close to its historic high and well above LT average
Source: BIS; Haver; CMMP analysis

In contrast, Japanese PSC growth is recovering from sustained periods of deficient credit demand, helped by relatively low debt service ratios that are well below their LT averages (Figure 8 below). The recent uptick in excess Korean growth is unlikely to be sustainable, however, given that both HH and HFC debt levels are above BIS thresholds (Figure 2 above)

Figure 8: Japan’s PSC debt service ratio displays a very different dynamic – the DSR is low in absolute terms and well below LT average
Source: BIS; Haver; CMMP analysis

Asia’s intermediate and emerging markets

RGF factors for intermediate and emerging Asian markets indicate relatively low levels of sustainability risk. Both India and Indonesia have been through periods of adjustment from previous phases of excess credit growth.

Figure 9: Rolling 3-year RGFs for Asia’s intermediate and emerging economies
Source: BIS; Haver; CMMP analysis

In the former case, there are very different dynamics between the rapidly growing HH and slow growing NFC sector. The risks associated with excess credit growth in the HH sector (from a low base) are rising but remain relatively low in the NFC sector which is still in an adjustment phase.

Figure 10: India’s HH and NFC sectors are displaying sharply contrasting debt dynamics
Source: BIS; Haver; CMMP analysis

Indonesia’s growth rates have adjusted from the 2000-14 period of “super-charged” growth which was driven largely by exogenous factors including the commodities super-cycle and portfolio inflows during the period of global QE and record low US interest rates.

In summary, the risk associated with excess credit growth across EM are lower than in previous cycles. Asia stands out, however, because the highest rates of growth have occured in economies that already have high debt ratios. In China and Hong Kong, these risks are compounded by high debt service ratios indicating rising “affordability” risks. RGFs in both economies are adjusting sharply lower in response. Risks in intermediate and emerging Asian economies appear lower, but the relatively high excess HH growth rates in India and China remain a key focus point.

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

“The changing face of global debt”

Global finance continues to shift to the East and towards emerging markets making it unrecognisable from the industry that existed twenty years ago

The key chart

The changing face of global debt (% of total PSC) – shifting East and towards emerging markets
Source: BIS; Haver; CMMP analysis

Summary

In this post, I summarise my analysis of the latest Bank of International Settlement (BIS) Quarterly Review with respect to level and trends in global debt and global debt ratios. The key points are:

  • The level of global debt hit a new high of $183 trillion in 1Q19
  • Global debt ratios – debt expressed as a percentage of GDP – have rebounded since 3Q18, but remain below peak 1Q18 levels.
  • Deleveraging continues, however, in all sectors across the Euro Area
  • Emerging markets remain the most dynamic segment of global finance, accounting for 36% of total private sector credit compared to only 10% two decades ago
  • China remains the main driver of this growth, accounting for 24% of global PSC, but the misallocation of credit towards SOEs continues
  • Global finance continues to shift East and towards emerging markets making it unrecognisable from the industry that existed twenty years
  • Further research analyses (1) whether current trends are sustainable and (2) the associated investment risks.

A new high for global debt levels

The level and breakdown of global debt between governments, corporates (NFC) and households (HH)
Source: BIS; Haver; CMMP analysis

The level of global debt hit a new high of $183 trillion at the end of 1Q19. Corporate (NFC) credit is the largest sub-segment (39% of total) at $72 trillion. Government debt is the second largest sub-segment (35% of total) at $65 trillion, while household credit is the smallest sub-segment (25% of total) at $47 trillion.

Aggregating NFC and HH credit together, private sector credit totals $118 trillion or 65% of total global debt, down from 70% at the end of 2008. The shift in the balance of total debt from the private sector to government debt since the GFC reflects a shift from HH to government debt. In 2008, the split of total debt between HH, NFC and government debt was 31%, 39% and 30%. Today, the split it is 25%, 39%, 35% (1Q19).

The level and breakdown of global debt between the government and the private sector (PSC)
Source: BIS; Haver; CMMP analysis

Leverage is also rising again…

Trends in total global debt and global debt ratios
Source: BIS; Haver; CMMP analysis

Global debt ratios – debt expressed as a percentage of GDP – have risen for two consecutive quarters (an end to recent deleveraging trends) but remain below peak 1Q18 levels. The outstanding stock of global debt across all sectors fell between 1Q18 and 3Q18 before rebounding in 4Q18 and 1Q19. Debt ratios have rebounded but remain below peak levels.

Viewed over a twelve month period, we can observe different forms of deleveraging in action. In the HH and government sectors the absolute stock of debt has risen (to new highs) over the past twelve months but at a slower rate than the growth in nominal GDP. This represents a passive form of deleveraging as the debt ratio declines despite the stock rising in absolute terms. In contrast, the absolute level of NFC debt in 1Q19 ($72 trillion) is slightly below the level recorded in 1Q18 ($73 trillion). Hence the fall in the NFC debt ratio from 97% to 94% over the twelve months represents a mild form of active deleveraging.

Despite the recent rebound, the NFC sector has seen a mild form of active deleveraging over the past twelve months
Source: BIS; Haver; CMMP analysis

Recent developments provide some support for the concept of debt thresholds ie, the level of debt above which debt becomes a drag on growth. The BIS estimate that this threshold in 90% for the NFC sector and 85% for the HH and government sectors. At the end of 1Q2019, NFC debt stood above this threshold at 94%, government debt was just below at 84%, while HH debt was well below at 60%. In short, the different form of deleveraging in the NFC sector described above reflects the fact that NFC debt ratios remain too high and above the BIS thresholds.

…except in the Euro Area

Private sector credit in the Euro Area is slightly lower now ($21 trillion) than in 3Q09 ($22 trillion)
Source: BIS; Haver; CMMP analysis

However, gradual deleveraging continues in all sectors in the Euro Area. Interestingly, Euro Area deleveraging began first in the HH sector where debt ratios peaked at 64% in 4Q12. As elsewhere, this has been a passive form of deleveraging where the absolute stock of HH debt rises (to a new peak level in 1Q19) at a slower rate that the growth in nominal GDP. Total, PSC, NFC and government debt levels peaked later (1Q15) and have involved both passive and active forms of deleveraging. The stock of total debt reached new highs at the end of 1Q19 in total and in the PSC and HH sectors. In contrast, it is falling in the NFC and government sector where deleveraging is in its active form and where debt ratios of 105% and 98% remain above their respective BIS threshold levels.

On-going deleveraging in the Euro Area depresses global debt ratios – but progress is slow due to the type of deleveraging involved
Source: BIS; Haver; CMMP analysis

Emerging market dynamism…

Trends in global debt with breakdown between advanced and emerging markets
Source: BIS; Haver; CMMP analysis

Emerging markets remain the most dynamic segment of global finance, accounting for 36% of total private sector credit compared to only 10% two decades ago. Emerging market PSC totalled $42 trillion at the end of 1Q19 a rise of 225% over the past ten years or a CAGR of 12% per annum. Of this, NFC credit totalled $30 trillion (71% total PSC) and HH credit totalled $12 trillion (29% total PSC). NFC credit is typically larger than HH credit in emerging markets due to their relative stage in industry development. For reference the split between NFC and HH credit in advanced economies is currently 55% and 45% respectively.

Emerging market debt accounts for 36% of total PSC versus only 10% twenty years ago
Source: BIS; Haver; CMMP analysis

Debt ratios are catching up with the developed world and in some cases now exceed the BIS threshold levels too. PSC, HH and NFC debt levels reached 142%, 42% and 101% of GDP at the end of 1Q19 versus respective ratios of 162%, 89% and 72% respectively for advanced economies. Note that emerging NFC debt ratios currently exceed the BIS threshold but this reflects (1) the impact of China, which is discussed below, and (2) the fact that the BIS choses to include Hong Kong (NFC debt 222% of GDP) and Singapore (NFC debt 117% of GDP) in its sample of emerging economies.

Playing “catch-up” – emerging market PS debt ratios (% GDP) are close to advanced economies’ levels
Source: BIS; Haver; CMMP analysis

…driven by China

China remains the main driver of EM debt growth and now accounts for 24% of global private sector credit alone. PSC growth in China has grown 366% over the past ten years at a CAGR of 17% to reach $28 trillion at the end of 1Q19. Of this NFC credit was $21 trillion (74%) and HH credit was $7 trillion (26%), but it should be noted that China’s SOEs account for 68% of total NFC credit*.

Twenty years ago, China accounted from 3% of global debt and 31% of total EM debt. Today, these shares have risen to 24% and 67% respectively. China’s outstanding stock of debt exceeded the rest of EM in 3Q11.

China leaves the rest of EM behind after 3Q11 (PSC % GDP)
Source: BIS; Haver; CMMP analysis

The NFC debt ratio peaked at 163% of GDP in 1Q17 and fell to 152% in 4Q18 as the growth in NFC debt lagged growth in GDP. However, in the 1Q19, this ratio rose back to 155% and remains well above the BIS threshold of 90%.

*The supply of credit to (the more profitable) private sector NFCs remains constrained and well below the BIS threshold, highlighting the on-going misallocation of credit in the Chinese economy. Further analysis of China’s debt dynamics follows in future posts.

China’s NFC debt ratio is rising again despite being well above the BIS threshold (90%) and levels seen in the RoW
Source: BIS; Haver; CMMP analysis

Shifting East and towards EM

Growth in global debt increasing driven the China and EM ($ trillions)
Source: BIS; Haver; CMMP analysis

Global finance continues to shift to the East and towards emerging markets making it unrecognisable from the industry that existed twenty years. In March 2000, global debt was structured split between advanced economies ex Euro Area (70%), the Euro Area (20%), emerging markets ex China (7%) and China (3%). Today, those splits are 47%, 18%, 12% and 24% respectively. The face of global debt is changing dramatically.

My next research analyses (1) whether current trends are sustainable and (2) the investment risks associated with these trends

The changing face of global debt (% PSC debt outstanding)
Source: BIS; Haver; CMMP analysis

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