“Look beyond the yield curve II”

Monetary trends remain inconsistent with recession fears in the Euro Area

Messages from the money sector

Narrow money (M1) and broad money (M3) growth accelerates in August 2019
Source: ECB; Haver; CMMP

Earlier this month, I argued that (1) leading indicators were giving mixed messages about recession risks in the Euro Area; (2) that monetary indicators were comfortably above the levels the ECB associate with risks of recession; but (3) that the ECB was still expected to cut rates and to restart QE.

No surprises since then from the ECB. However, monetary indicators have moved even further away from levels associated with recession risks. Growth in real M1 (a leading indicator) accelerated in August, and real growth in household credit (a coincident indicator) and corporate credit (a lagging indicator) are at the highest levels in the current credit cycle. The message from the money sector in August is that current trends remain inconsistent with recession risks in the Euro Area.

No surprises from the ECB in September

The Deposit Facility Rate was cut from minus 0.4% to 0.5% in-line with expectations at this month’s meeting. The ECB also announced that it would restart buying €20bn of bonds per month until inflation hits its target of 2%. It also introduced a new “tiered” system of interest rates to reduce the cost to banks from negative rates (as discussed in “Power to the Borrowers”). No surprises here.

What are monetary developments telling us?

To recap, growth rates in real M1 and lending to the private sector demonstrate robust relationships with the business cycle through time. Real M1 tends to lead fluctuations in real GDP with an average lead time of four quarters. Real household (HH) credit growth tends to lead slightly (one quarter) or have a coincident relationship with real GDP. In contrast, real corporate (NFC) credit tends to lag fluctuations in real GDP with a lag of three quarters.

Growth in real M1 (my preferred leading indicator) is rising well above the levels associated with recessions in the Euro Area (% YoY, 3m MVA)
Source: ECB; Haver; CMMP calculations

Monetary indicators moved even further away from levels associated with recessions risks in August. Real M1, an alternative leading indicator with a stronger and more stable relationship with real GDP than the slope of the yield curve, grew 7.3% in August compared with 6.7% in July and 4.7% in January this year. This is the fastest rate of real growth in narrow money since January 2018.

Growth in real HH credit (a leading/coincident indicator) is at the highest level in the current credit cycle (% YoY, 3m MVA)
Source: ECB; Haver; CMMP calculations
Nominal HH credit growth driven by France, Germany, Benelux and Italy – but remains subdued in relation to past cycles (%YoY)
Source: ECB, Haver, CMMP calculations

Real HH credit (a leading/co-incident indicator) and Real NFC credit (a lagging indicator) grew at 2.4% and 3.3% respectively. In both cases, this was the fastest rate of growth in the current credit cycle. France (1.3%), Germany (1.2%), Benelux (0.3%) and Italy (0.2%) were the main contributors to HH credit growth (contributions here are in nominal terms).

Growth in real NFC credit (a lagging indicator) is also at the highest level in the current credit cycle (% YoY, 3m MVA)
Source: ECB; Haver, CMMP calculations

In the NFC sector, France (1.8%) and Germany (1.5%) were again the main country drivers, but Italy (-0.6%) and Spain (-0.2%) both made negative contributions to nominal Euro Area growth rates.

Nominal growth in NFC credit still dominated by France and Germany while Spain and Italy make negative contributions (% YoY)
Source: ECB; Haver; CMMP calculations

The message from the money sector in August is that current trends remain inconsistent with recession risks in the Euro Area. The domestic sectors are demonstrating resilience in contrast to the contraction seen in the more export-oriented manufacturing sectors. The latest trends remain supportive of current ECB and EC forecasts which point to a shallow recovery in growth in 2H19.

Monetary trends are more supportive of current EC (and ECB) forecasts for a shallow recovery in growth (% YoY)
Source: EC; Haver; CMMP

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

“Fuelling the FIRE” – the hidden risk in QE

The hidden risk in QE is that the ECB is fuelling the growth in FIRE-based lending with negative implications for leverage, growth, stability and income inequality

“Fuelling the FIRE” – spilt in EA lending over past twenty years between productive (COCO) and less productive (FIRE) based lending (% total loans)
Source: ECB; Haver; CMMP

How successful has the “Fourth Phase” of ECB monetary policy been?

The (real) cost of borrowing for EA households (HH) and corporates (NFC) has declined since the Fourth Phase began in July 2014
Source: ECB; Haver; CMMP

An important goal of the current “Fourth Phase” of ECB monetary policy is “to ensure that businesses and people should be able to borrow more and spend less to repay their debts”.

“Shifting the balance of power” – trends in official (MMR), ST money market (3m Euribor) and household (HH) and corporate lending (NFC) rates since end May 2014 (change in bp)
Source: ECB; Haver; CMMP

The ECB has achieved partial success here with private sector credit in the Euro Area now growing at the fastest rate in the current credit cycle (in nominal terms) thanks in part to lower borrowing costs.

Following the standard transmission mechanism of monetary policy, the cut in official rates has fed through into money market interest rates (and expectations) and into the cost of borrowing for corporates (NFCs) and households (HHs) in the Euro Area. Since the end of May 2014, the MRR has fallen by 25bp, 3m Euribor by 69bp, and the composite cost of borrowing for NFCs and HHs by 123bp and 134bp respectively. This has represented an important shift in the balance of power from lenders/creditors to borrowers/debtors (see “Power to the Borrowers” – who are the winners from QE?). Private sector credit (PSC) stopped falling in March 2015 and is currently growing at 3.6%, the fastest nominal rate of growth in the current credit cycle.

The obvious caveats to this success story are the facts that current growth is (1) muted in relation to past cycles, and (2) limited geographically. Progress in emerging from the Euro Area’s debt overhang remains slow and incomplete. Economic cycles are shallower, money supply is subdued and credit demand is relatively week. These trends are entirely consistent with the “Balance Sheet Recession” concept and trends seen previously in Japan.

Growth in HH lending is subdued in relation to past cycles and dominated by growth in Germany and France (% YoY)
Source: ECB; Haver; CMMP

The current growth rate in PSC of 3.6% is well below the average of 8.3% in the decade between June 1999 and June 2009 and the peak growth of 11.7% reached in September 2016. Current growth is also dominated by Germany and France rather than broad based across the Euro Area. HH credit is growing 2.9% YoY (outstanding stock basis) of which France contributes 1.3%, Germany 1.2% and the Benelux 0.3%. Similarly, NFC credit is growing 3.1% YoY with Germany contributing 1.9% and France 1.6% while Spain, Italy, and Greece, Ireland and Portugal (GIP) all making negative contributions.

Growth in NFC lending is also subdued in relation to past cycles and also dominated by Germany and France (% YoY)
Source: ECB; Haver; CMMP

COCO versus FIRE – contrasting productive and unproductive credit

A less obvious, but more important, caveat is that the majority of Euro Area credit is now directed into “unproductive” FIRE-based credit rather than more “productive” COCO-based credit.

In the broadest sense, lending can be spilt into two distinct types: lending to support productive enterprise; and lending to finance the sale and purchase of existing assets. The former includes lending to NFCs and HH consumer credit, referred collectively here as “COCO” credit (COrporate and COnsumer). The latter includes loans to non-bank financial institutions (NBFIs) and HH mortgage or real estate debt, referred to collectively as “FIRE” credit (FInancials and Real Estate). Dirk Bezemer (www.privatedebtproject.org) neatly distinguishes between the productivity of these different forms of lending:

  • COCO-based lending typically supports production and income formation
  • CO: loans to NFCs are used to finance production which leads to sales revenues, wages paid, profits realised and economic expansion. Bezemer notes that these loans are used to realise future cash revenues from sales that land on the balance sheet of the borrower who can then repay the loan or safely roll it over. The key point here is that an increase in NFC debt will increase debt in the economy but it will also increase the income required to finance it
  • CO: consumer debt also supports productive enterprises since it drives demand for goods and services, hence helping NFCs to generate sales, profits and wages. It differs from NFC debt to the extent that HH take on an additional liability since the debt does not generate income. Hence the consumer debt is also positive but has a slightly higher risk to stability
Share of total EA lending (%) accounted for by COCO-based lending (1999-2019)
Source: ECB; Haver; CMMP
  • FIRE-based lending typically supports capital gains through higher asset prices
  • FI: loans to NBFIs (eg, pension funds, insurance companies) are used primarily to finance transactions in financial assets rather than to produce, sell or buy “real” output. This credit may lead to an increase in the price of financial assets but does not lead (directly) to income generated in the real economy
  • RE: mortgage or real estate lending is used to finance transactions in pre-existing assets rather than transactions in goods and services. Such lending typically generates asset gains as opposed to income (at least directly)
Share of EA lending (%) accounted for by FIRE-based lending (1999-2019)
Source: ECB; Haver; CMMP

Lending in any economy will involve a balance between these different forms, but the key point is that a shift from COCO-based lending to FIRE-based lending reflects different borrower motivations and different levels of risks to financial stability.

Over the past twenty years, FIRE-based lending has increased from 48% of total Euro Area loans to 55% as at June 2019. The current level represents a historic high. At the individual country level, the ECB has provided a breakdown on MFI balance sheets since December 2002. At the starting point of this data, COCO-based lending exceeded or equalled FIRE-based lending in six out of ten large Euro Area economies: Austria (73%:27%); Greece (73%: 48%); Italy (58%:42%); France (58%:42%); Spain (56%:44%) and Portugal (50%:50%).

As of June 2019, only three of the countries in this sample have COCO-based lending above or equal to FIRE-based lending: Austria and Greece (54%:46%) and Italy (50%:50%).

As of July 2019, only three of the large EA economies have COCO-based lending above or equal to FIRE-based lending (% total lending)
Source: ECB; Haver; CMMP

To what extent is QE fuelling the fire?

The shift towards these forms of credit pre-dates the introduction of QE in the Euro Area. As the data above suggests, this is part of a longer term trend. Indeed, at both the Euro Area level and the country level, the split between COCO-based and FIRE-based lending is broadly unchanged since both May 2014 and March 2015.

The shift is more noticeable since the end of the Global Financial Crisis however and may also reflect that NFC debt levels (expressed as a percentage of GDP) remain high and above the threshold levels that the BIS considers detrimental to future growth.

Nevertheless, the hidden risk in QE is that the ECB is “Fuelling the FIRE” with potentially negative implications for leverage, growth, financial stability and income inequality in the Euro Area.  

As noted above, while COCO-based lending increases absolute debt levels, is also increases incomes (albeit with a lag), hence overall debt levels need not rise as a consequence. In contrast, FIRE-based lending increases debt and may increase asset prices but does not increase the purchasing power of the economy as a whole. Hence, it is likely to result in high levels of leverage.

Similarly, COCO-based lending supports economic growth both by increasing the value-add from final goods and services (“output”) and an increase in profits and wages (“income”). In contrast, FIRE-based lending typically only affects GDP growth indirectly.

From a stability perspective, the returns from FIRE-based lending (investment returns, commercial and HH property prices etc) are typically more volatile that returns from COCO-based lending and may affect the solvency of lenders and borrowers.

Finally, the return from FIRE-based lending are typically concentrated in higher-income segments of the populations, with any subsequent wealth-effects increasing income inequality.

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

“Power to the Borrowers” – who are the winners from QE?

Watch to see if the ECB introduces compensation measures for banks this week

Trends in official ECB and ST money market rates (%)
Source: ECB; Haver, CMMP

The ECB is widely expected to cut its deposit rate next week and to announce a restart of its QE (bond purchase programme) from October.

QE in action – scale (EUR mn) and breakdown by instrument
Source: ECB; Haver, CMMP

Previous non-standards monetary policy measures – the expanded asset purchase programme (APP), the introduction of negative deposit rates and the targeted longer-term refinancing operations (TLTROs) –  all contributed to a steady and widespread decline in bank lending rates while narrowing their dispersion across countries in the Euro Area (EA).

Falling (real) cost of borrowing for EA households and corporates
Source: ECB; Haver; CMMP

Since the announcement of the credit easing package in early June 2014, lending rates have declined significantly more than market reference rates and policy rates.

In the household (HH) sector, EA lending rates have fallen 134bp since May 2014 compared with a 25bp reduction in the Main Refinancing Rate (MRR) and a 69bp reduction in 3M EURIBOR.

The largest contraction in HH lending rates have been seen in Portugal (-201bp), France (-175bp), Italy (-164bp) and Belgium (-156bp).

Shifting the balance or power: cost of borrowing for households and corporates has fallen faster than ST money market and official rates (change in bp since end May 2014)
Source: ECB; Haver; CMMP

In the corporate (NFC) sector, EA lending rates have fallen 123bp over the same period, with relatively large contractions in Portugal (-320bp), Spain (-193bp), and Italy (-192bp).

These trends are entirely consistent with the stated goal of the ECB to “ensure that businesses and people should be able to borrow more and spend less to repay their debt.” They also represent a clear shift in the balance of power from lenders to borrowers.

Shifting balance of power reflected in underperformance of SX7E (leading EA banks) versus SXXE
Source: Haver; CMMP

With 2Q19 results showing the negative impact of these trends on EA banks’ profitability levels (volume growth insufficient to compensate for spread erosion) and with EA banks’ share prices underperforming and trading at discounts to their tangible book value, the key question this week is not will the ECB cut rates and/or restart QE, but will they introduce measure to compensate banks for the obvious negative side effects of negative interest rates.

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

“Macro building blocks matter” – look at the SX7E

What are the key macro building blocks for European banks and why do they matter?

As a macro-economist, investor and ex-global banks sector strategist, I have a specific interest in the impact of macro and monetary dynamics on bank sector profitability (and conversely, on the impact of bank behaviour on the wider economy).

Macro building blocks for banks

In developed economies, I focus primarily on five key “macro building blocks” that drive bank sector profitability and share price performance:

  • growth in real GDP
  • growth in private sector credit
  • the level of ST rates
  • the level of LT rates
  • the shape of the yield curve

Net interest income – the main value driver for most banks – has a positive relationship with GDP, the level of rates and the shape of the yield curve. The level of ST rates is more important for banks in “floating rate” economies and market segments. In contrast, the slope of the yield curve is more important for banks in “fixed rate” economies and market segments.

Variable rate lending as %age of total new loans in the EA
Source: ECB; Haver; CMMP

In the Euro Area, 65% of new loans to HHs and NFCs are based on variable rates but only 19% of mortgages (down from 58% in November 2004). This means that EA banks are affected by both the level of ST rates and the slope of the yield curve, but that the sensitivity to the former is higher.

Variable rate lending as %age of total EA mortgages
Source: ECB, Haver, CMMP

Non-interest income – the second key value driver – has a positive relationship with GDP but a negative relationship with the level of ST rates while provisions have negative relationship with GDP and a positive relations with the level of ST rates.

Building blocks have weakened significantly

Macro building blocks in the EA have been softening since 1Q18 but have weakened significantly during 2019.

Twenty year trends in EA real GDP growth (% YoY)
Source: ECB, Haver, CMMP
  • Real GDP growth has slowed below LT average in all leading EA economies with the exception of the Netherlands, Spain and Portugal. Real GDP growth for the EA has fallen from 2.8% in 4Q17 to 1.1% in 2Q19, below the twenty year average growth rate of 1.4%. The weakest growth rates are currently in Italy (-0.1%) and Germany (0.4%) and Austria, Belgium and France are all growing at rates below their respective LT average. Of the major EA economies only the Netherlands (1.8%), Spain (2.3%) and Portugal (1.8%) are growing at rates above their LT average but interestingly the HH and NFC sectors are still deleveraging in each of these three economies. Looking forward, the ECB is forecasting growth to slow to 1.2% in 2019 before recovering to 1.4% in 2020 and 2021, in-line with LT average growth rates.
Twenty year trends in EA private sector credit growth (% YoY, 3M MVA)
Source: ECB; Haver, CMMP
Current growth rates in EA corporate and household credit (% YoY)
Source: ECB; Haver; CMMP
  • Private sector credit growth is at its highest level in the current cycle (3.6% YoY) but remains subdued in relation to past cycles (see graph above), concentrated geographically and increasingly directed towards less productive segments (see “Fuelling the FIRE” – the hidden risks of QE)
ST rates (EONIA) locked at the base of ECB’s corridor (marginal lending rate – deposit facility rate)
Source: ECB; Haver; CMMP
  • ST rates remain locked at the base of the ECB’s corridor and a further cut in the deposit facility rate this month is likely to have a negative impact on net interest margins in those countries (Austria, Italy, Portugal and Spain) and market segments (NFC lending) that are characterised by floating rate lending.
Euro Area 10Y bond yields collapsing into negative territory
Source: Haver; CMMP
  • LT rates have fallen sharply into negative territory. The yield on EA 10Y bonds has fallen from -0.23% at the end of 2018 to -0.64% currently, just above the recent weekly low of -0.71% at the end of August 2019.
  • The EA yield curve, which has been flattening since 4Q18, inverted in July 2019 with negative consequences for net interest margins in countries (Belgium, France, Germany and the Netherlands) and market segments (HH lending) that are more exposed to fixed-rate lending.
Spread between interest rate on new EA HH loans and 3M Euribor
Source: ECB; Haver; CMMP
Spread between interest rate on new EA NFC loans and 3M Euribor
Source: ECB; Haver; CMMP
  • Negative ST rates and inverted yield curves are compounded by on-going price competition that is evident in the on-going narrowing of spreads in the HH sector and to a lesser extent in the NFC sector.
Relative performance of SX7E versus SXXE over past twelve month (average prices)
Source: Haver; CMMP

The importance of macro building blocks on the performance of EA banks’ share prices is reflected in poor absolute (-14%) and relative (-10% versus SXXE) performance of the SX7E index of leading European banks over the past twelve months.

Little wonder then, that when reviewing the performance of European banks, FT Lex writers concluded recently that, “Europe is a nice place to live, but a terrible place to invest” (“European banks: the flyover continent”. Financial Times 23 July 2019)

Relative performance of SX7E versus SXXE over past decade (average prices)
Source: Haver; CMMP

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

“Look beyond the yield curve”

Leading indicators are giving mixed messages – but the ECB is still expected to cut rates and restart QE

Mixed messages 1: The inverted 10Y-3M yield curve raises “recession risks” concerns
Source: ECB; Haver; CMMP

Turning points in the slope of the yield curve typically lead turning points in real Euro Area (EA) GDP. The rapid flattening/inverting of EA yield curves YTD has surpassed trends seen in 2015 and 2016 and raises concerns that “recession risks” are rising across the region.

Mixed messages 2: Real growth in EA narrow money (an alternative leading indicator) remains well above the levels associated with recessions
Source: ECB; Haver; CMMP

To assess the severity of these risks, I examine trends in the key leading, co-incident and lagging indicators that represent the foundation of my “Money, Credit and Business Cycle” framework.

Growth rates in real M1 and lending to the private sector demonstrate robust relationships with the business cycle through time.

Real M1 tends to lead fluctuations in real GDP with an average lead time of four quarters. This reflects the fact that M1 is composed of funds that businesses and households can access quickly to support current spending.

Real household (HH) credit growth tends to lead slightly (one quarter) or have a co-incident relationship with real GDP. HHs typically increase their demand for credit when they expect house prices to recover and after house prices and interest rates have declined during a slowdown.

In contrast, real corporate (NFC) credit tends to lag fluctuations in real GDP with a lag of three quarters. NFCs typically rely on in internal sources of funds at the early stage of an economic recovery before turning to banks (and other external sources) for financing at later stages.

Leading indicator: growth in EA real GDP and real M1 (% YoY)
Source: ECB; Haver; CMMP

Real M1, an alternative leading indicator with a stronger and more stable historic relationship with real GDP than the slope of the yield curve, rebounded in February 2019 and is now growing at the fastest rate since February 2018. The relationship between real growth in M1 and real growth in GDP is well documented and is supported by CEPR evidence that shows that the real growth rate in M1, “went well into negative territory for prolonged period just before (or in coincidence with) all historic EA recessions.” (ECB Economic Bulletin, April 2019).

Real growth rates in M1 peaked back at 11.1% back in November 2015, but the moderation became more obvious during 2018 with a recent low of 4.3% in August 2018. A more sustained recovery began in February 2019 and the current (July 2019) growth rate of 6.7% is the fastest rate since February 2018. The current level of real M1 growth remains comfortably above the levels that the ECB associates with risks of recession in the near future.

Leading/coincident indicator: growth in EA real GDP and real household credit (% YoY)
Source: ECB; Haver; CMMP
Lagging indicator: growth in EA real GDP and real corporate credit (% YoY)
Source: ECB; Haver; CMMP

Real growth rates in HH credit (a leading/coincident indicator) and NFC credit (a lagging indicator) are also at their highest levels in the current credit cycle. According to ECB data released last week, HH credit grew 3.4% YoY in nominal terms and 2.4% in real terms in July 2019. This is the fastest rate of growth since July 2009 and the fastest rate of growth in the current cycle. France (1.4% contribution), Germany (1.2%), Benelux (0.3%) and Italy (0.2%) were the main drivers of growth. NFC lending grew 3.9% YoY in nominal terms and 2.9% in real terms. Again the real growth rate was the fastest in the current cycle and the fastest rate of growth since June 2009. In the NFC sector, France and Germany are again the key country drivers, both contributing 1.7% of total nominal growth.

In other words, the message from the EA banking sector is more consistent with current ECB and EC growth (subdued but stable) forecasts than with fears of an EA recession.

Real GDP growth in Euro Area showing current EC 2019-2020 forecasts (% YoY)
Source: ECB; EC; Haver, CMMP

However, with growth remaining below LT trends and with inflation 1ppt below the ECB’s target, expectations that the ECB will cut rates this month and restart QE are likely to be met.

Euro Area inflation (HICP) remains well below the ECB target of 2% (% YoY)
Source: ECH; Haver; CMMP

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

“Three perspectives – One strategy”

How I combine three different time perspectives into a consistent investment strategy

As an investor, I combine three different time perspectives into a single investment thesis or strategy

Long-term (LT) investment perspective

My LT investment perspective focuses on analysing key structural drivers that extend across multiple business cycles.

As a macro and monetary economist, I start by analysing the level, growth, affordability and structure of debt. In my experience, this is the most important feature of LT secular 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.

My LT investment perspective reflects my early career in Asia and my experience of Japan’s balance sheet recession.

Medium-term (MT) investment perspective

My MT investment perspective centres on: analysing money, credit and business cycles; the impact of bank behaviour on the wider economy; and the impact of macro and monetary dynamics on bank sector profitability.

Growth rates in narrow money (M1) and private sector credit demonstrate robust relationships with the business cycle through time. My interest is in how these relationships can assist investment timing and asset allocation.

My investment experience in Europe shapes my MT investment perspective, supported by detailed analysis provided by the European Central Bank (ECB).

Short-term (ST) investment perspective

Finally, my ST investment perspective focuses on trends in the key macro building blocks that affect industry value drivers, company earnings and profitability at different stages within specific cycles.

My ST investment perspective is influenced by my experience of running proprietary equity investments within a fixed-income environment at JP Morgan. This led me to reappraise the impact of different drivers of equity market returns.

One strategy

My investment outlook at any point in time reflects the dynamic between these three different time perspectives.

My conviction reflects the extent to which they are aligned.