China’s semiconductor ambitions returned to the spotlight following the recent meeting between President Trump and President Xi. While the US administration reportedly signaled willingness to permit exports of certain downgraded or older-generation AI GPUs into China, the more notable takeaway may have been China’s relatively muted reaction. Rather than relying on controlled access to foreign technology, China appears increasingly focused on accelerating the development of its own semiconductor ecosystem.

While the AI cycle continues to demonstrate remarkable strength, China’s push toward semiconductor self-reliance increasingly appears to represent an additional structural driver for the industry – one that could persist largely independent of the pace or duration of the current AI infrastructure cycle.

A focus on a domestic opportunity for self-reliance

The scale of the opportunity remains significant. China is already the world’s largest semiconductor consumption market, representing well over USD200 billion of annual chip demand and likely continuing to grow meaningfully over the coming decade. Yet domestic self-sufficiency across many semiconductor categories remains relatively low, leaving substantial room for domestic substitution over time. Even within analog and power semiconductors – categories generally viewed as more achievable for domestic suppliers – the opportunity remains large. Industry estimates suggest China’s power management semiconductor demand alone already represents a multi-billion-dollar market, while domestic suppliers still account for a relatively modest share. If China materially increases domestic semiconductor content over the coming years, tens of billions of dollars of annual value could gradually shift toward Chinese suppliers.

China still faces important technological bottlenecks. Advanced EUV lithography remains effectively inaccessible, while gaps persist across certain leading-edge manufacturing equipment, inspection and metrology tools and advanced materials. However, recent developments suggest China continues to make incremental progress across multiple parts of the semiconductor stack despite these restrictions. Domestic memory players have advanced meaningfully in NAND and DRAM, while progress in high-bandwidth memory (HBM), advanced packaging and other areas continues to evolve. More broadly, as the saying goes, necessity is often the mother of invention, and technological constraints themselves can become catalysts for accelerated domestic innovation.

Lessons from solar, batteries and EVs

Importantly, China has already demonstrated an ability to achieve global scale and competitiveness in industries once dominated by foreign incumbents. The country now holds leading positions across solar panels, batteries and electric vehicles, while also becoming increasingly competitive in industrial automation and advanced manufacturing more broadly. Regardless of one’s geopolitical perspective, China’s long-term willingness to commit capital, engineering talent and policy support toward strategic industries should not be underestimated.

As the AI infrastructure cycle evolves, bottlenecks have gradually expanded beyond AI accelerators and memory into broader areas of the semiconductor supply chain. More recently, power management integrated circuits (PMICs) have emerged as an area experiencing tighter supply-demand dynamics, driven by rising demand from data centres and AI infrastructure. AI servers require increasingly sophisticated power architectures, translating into higher semiconductor content and more advanced PMIC requirements. These products typically command higher pricing and more attractive margins, while stronger AI-related demand may also help stabilize pricing conditions across broader analog semiconductor markets.

Against this backdrop, we believe companies positioned within China’s domestic semiconductor ecosystem could benefit from these longer-term trends. One example within our Emerging Markets portfolio is Silergy Corp. (6415 TT), a China-based analog semiconductor company and one of China’s leading domestic suppliers of PMICs.

Why PMICs are important

PMICs are semiconductors responsible for regulating and distributing electrical power within electronic systems, helping ensure that processors, servers, vehicles and industrial equipment receive power efficiently, reliably and safely. Unlike leading-edge AI accelerators, analog and power management semiconductors are embedded across a broad range of everyday electronic applications.

Headquartered in Hangzhou, Silergy designs analog and mixed-signal semiconductors serving industrial, automotive, consumer electronics, computing and communications applications. While the company is gaining increasing exposure to AI servers and data-centre-related applications, its business remains diversified across multiple end markets, which in our view provides a more balanced way to participate in both semiconductor self-reliance and broader electronics content growth.

Silergy is already one of China’s leading domestic PMIC suppliers, yet its market share within China’s broader analog and power semiconductor market likely remains relatively small, suggesting a potentially long runway for continued share gains over time.

While market attention remains concentrated on the most visible AI beneficiaries, some of the more durable investment opportunities may emerge deeper within the semiconductor supply chain and away from the headlines. China’s semiconductor ambitions could ultimately prove to be one of the more important long-term trends still unfolding beneath the surface of today’s AI cycle.

The post Necessity, the mother of invention appeared first on Groupe financier Connor, Clark & Lunn ltée.

China’s semiconductor ambitions returned to the spotlight following the recent meeting between President Trump and President Xi. While the US administration reportedly signaled willingness to permit exports of certain downgraded or older-generation AI GPUs into China, the more notable takeaway may have been China’s relatively muted reaction. Rather than relying on controlled access to foreign technology, China appears increasingly focused on accelerating the development of its own semiconductor ecosystem.

While the AI cycle continues to demonstrate remarkable strength, China’s push toward semiconductor self-reliance increasingly appears to represent an additional structural driver for the industry – one that could persist largely independent of the pace or duration of the current AI infrastructure cycle.

A focus on a domestic opportunity for self-reliance

The scale of the opportunity remains significant. China is already the world’s largest semiconductor consumption market, representing well over USD200 billion of annual chip demand and likely continuing to grow meaningfully over the coming decade. Yet domestic self-sufficiency across many semiconductor categories remains relatively low, leaving substantial room for domestic substitution over time. Even within analog and power semiconductors – categories generally viewed as more achievable for domestic suppliers – the opportunity remains large. Industry estimates suggest China’s power management semiconductor demand alone already represents a multi-billion-dollar market, while domestic suppliers still account for a relatively modest share. If China materially increases domestic semiconductor content over the coming years, tens of billions of dollars of annual value could gradually shift toward Chinese suppliers.

China still faces important technological bottlenecks. Advanced EUV lithography remains effectively inaccessible, while gaps persist across certain leading-edge manufacturing equipment, inspection and metrology tools and advanced materials. However, recent developments suggest China continues to make incremental progress across multiple parts of the semiconductor stack despite these restrictions. Domestic memory players have advanced meaningfully in NAND and DRAM, while progress in high-bandwidth memory (HBM), advanced packaging and other areas continues to evolve. More broadly, as the saying goes, necessity is often the mother of invention, and technological constraints themselves can become catalysts for accelerated domestic innovation.

Lessons from solar, batteries and EVs

Importantly, China has already demonstrated an ability to achieve global scale and competitiveness in industries once dominated by foreign incumbents. The country now holds leading positions across solar panels, batteries and electric vehicles, while also becoming increasingly competitive in industrial automation and advanced manufacturing more broadly. Regardless of one’s geopolitical perspective, China’s long-term willingness to commit capital, engineering talent and policy support toward strategic industries should not be underestimated.

As the AI infrastructure cycle evolves, bottlenecks have gradually expanded beyond AI accelerators and memory into broader areas of the semiconductor supply chain. More recently, power management integrated circuits (PMICs) have emerged as an area experiencing tighter supply-demand dynamics, driven by rising demand from data centres and AI infrastructure. AI servers require increasingly sophisticated power architectures, translating into higher semiconductor content and more advanced PMIC requirements. These products typically command higher pricing and more attractive margins, while stronger AI-related demand may also help stabilize pricing conditions across broader analog semiconductor markets.

Against this backdrop, we believe companies positioned within China’s domestic semiconductor ecosystem could benefit from these longer-term trends. One example within our Emerging Markets portfolio is Silergy Corp. (6415 TT), a China-based analog semiconductor company and one of China’s leading domestic suppliers of PMICs.

Why PMICs are important

PMICs are semiconductors responsible for regulating and distributing electrical power within electronic systems, helping ensure that processors, servers, vehicles and industrial equipment receive power efficiently, reliably and safely. Unlike leading-edge AI accelerators, analog and power management semiconductors are embedded across a broad range of everyday electronic applications.

Headquartered in Hangzhou, Silergy designs analog and mixed-signal semiconductors serving industrial, automotive, consumer electronics, computing and communications applications. While the company is gaining increasing exposure to AI servers and data-centre-related applications, its business remains diversified across multiple end markets, which in our view provides a more balanced way to participate in both semiconductor self-reliance and broader electronics content growth.

Silergy is already one of China’s leading domestic PMIC suppliers, yet its market share within China’s broader analog and power semiconductor market likely remains relatively small, suggesting a potentially long runway for continued share gains over time.

While market attention remains concentrated on the most visible AI beneficiaries, some of the more durable investment opportunities may emerge deeper within the semiconductor supply chain and away from the headlines. China’s semiconductor ambitions could ultimately prove to be one of the more important long-term trends still unfolding beneath the surface of today’s AI cycle.

The post Necessity, the mother of invention appeared first on Groupe financier Connor, Clark & Lunn ltée.

Emerging market equities have outperformed the rest of the world year to date.

Source: NS Partners and LSEG Datastream

The asset class is decisively breaking out of a long-run trend of underperforming developed markets.

Source: Bank of America, May 2026.

What is driving the turnaround? Looking at contributions to returns since 2023, earnings have been the clear driver for emerging market equities, with multiple expansion only a minor contributor.

Source: Jefferies quant research, April 2026.

Earnings growth has been the key driver

Source: NS Partners and LSEG Datastream.

In fact, for the year to date as at the end of April, valuation compression has been a headwind for the asset class.

Source: Jefferies quant research, April 2026.

EM equities are now cheaper than they were in beginning of 2025 despite strong returns.

Source: NS Partners and LSEG Datastream.

We flagged in previous pieces that the signals we track suggested emerging market equities were positioned to outperform their developed market counterparts. Based on the headline numbers it appears this call has been vindicated (albeit over a short period) with the welcome combination of cheaper valuations and a strengthening earnings outlook.

What got us particularly excited was the potential for a US dollar bear market driving a new virtuous circle, as illustrated below.

We have had positive spurts in a number of markets which enjoyed easing currency pressure courtesy of a falling dollar and better liquidity. However, this has been overwhelmed by the US AI boom which is bleeding out into emerging markets with North Asia the clear winner.

It has been a narrow rally driven by US capex and the AI supply chain

This dramatic improvement in earnings and performance largely reflects a boom in South Korean and Taiwan tech companies. If you strip these markets out of EM, the return picture for the wider asset class is subdued.

YTD outperformance of EM equities has been entirely due to Korea/Taiwan, with the rest of the asset class lagging DM

Source: NS Partners and LSEG Datastream

The demand boom for key technologies that underpin the infrastructure needed to meet a massive build out of AI technologies and the flow through to earnings growth is swamping interest in other positive stories across the asset class.

We are modestly overweight AI supply chain leaders in South Korea and Taiwan, who control key supply bottlenecks across memory and logic chips, thermal cooling, signals and switching, electrification and data centre assembly. Earnings growth and margins for these companies are downstream of rising investment from US hyperscalers seeking vast amounts of compute power to develop cutting-edge large language models.

Source: Koyfin, April 2026.

Portfolio names in these areas have posted outstanding gains over the last 12 months. While we have been quick to trim positions when stock valuations exceed what we think is reasonable, we have not run away from the rally and have maintained the overweight as we can see the fundamentals accelerating. For example, the supply-demand mismatch for high bandwidth memory is so great that memory giants SK Hynix and Samsung Electronics are now among the most profitable companies in the world.

Source: Jefferies March 2026.

Earnings growth in South Korea has been so strong that valuations still look modest despite the market doubling

Samsung Electronics, Hynix and Micron are the only three companies in the world capable of producing HBM chips that are crucial components in Nvidia GPU clusters. And yet, Samsung and Hynix trade at a price to earnings multiples of less than 5x.

Source: Deutsche Bank 2026.

Optically, cheap valuations reflect a market view that these remain deeply cyclical businesses in an industry with a history of violent booms and busts and thus lack the durability in the earnings growth to award a higher multiple.

Looking at the table above, there may be a good argument that the DRAM giants are over-earning and will attract competitors. On the other hand, we are mindful that AI innovation represents a major technological shift and the possibility that this could structurally alter demand dynamics in an oligopolistic industry controlling essential and hard to replicate technologies.

Maintaining conviction with tight risk management

While the pace of capex spending by the US hyperscalers and the cash flows going to hardware suppliers is extraordinary, the parabolic stock moves in a number of the names that we hold naturally make us twitchy. Major uncertainty remains over how LLM technologies will evolve and be monetised, whether competitor frameworks will gain dominance, and if real-world bottlenecks in memory and energy may ultimately slow the pace of development.

We have been careful to trim winners and recycle profits elsewhere in emerging markets where we are seeing other opportunities that excite us. Equally, relatively modest valuations and earnings visibility on our time horizon represent a significant upside risk which leaves us happy to maintain our overweight to the AI supply chain.

The post Rallying EM equities reflect an AI-powered earnings surge appeared first on Groupe financier Connor, Clark & Lunn ltée.

Emerging market equities have outperformed the rest of the world year to date.

Source: NS Partners and LSEG Datastream

The asset class is decisively breaking out of a long-run trend of underperforming developed markets.

Source: Bank of America, May 2026.

What is driving the turnaround? Looking at contributions to returns since 2023, earnings have been the clear driver for emerging market equities, with multiple expansion only a minor contributor.

Source: Jefferies quant research, April 2026.

Earnings growth has been the key driver

Source: NS Partners and LSEG Datastream.

In fact, for the year to date as at the end of April, valuation compression has been a headwind for the asset class.

Source: Jefferies quant research, April 2026.

EM equities are now cheaper than they were in beginning of 2025 despite strong returns.

Source: NS Partners and LSEG Datastream.

We flagged in previous pieces that the signals we track suggested emerging market equities were positioned to outperform their developed market counterparts. Based on the headline numbers it appears this call has been vindicated (albeit over a short period) with the welcome combination of cheaper valuations and a strengthening earnings outlook.

What got us particularly excited was the potential for a US dollar bear market driving a new virtuous circle, as illustrated below.

We have had positive spurts in a number of markets which enjoyed easing currency pressure courtesy of a falling dollar and better liquidity. However, this has been overwhelmed by the US AI boom which is bleeding out into emerging markets with North Asia the clear winner.

It has been a narrow rally driven by US capex and the AI supply chain

This dramatic improvement in earnings and performance largely reflects a boom in South Korean and Taiwan tech companies. If you strip these markets out of EM, the return picture for the wider asset class is subdued.

YTD outperformance of EM equities has been entirely due to Korea/Taiwan, with the rest of the asset class lagging DM

Source: NS Partners and LSEG Datastream

The demand boom for key technologies that underpin the infrastructure needed to meet a massive build out of AI technologies and the flow through to earnings growth is swamping interest in other positive stories across the asset class.

We are modestly overweight AI supply chain leaders in South Korea and Taiwan, who control key supply bottlenecks across memory and logic chips, thermal cooling, signals and switching, electrification and data centre assembly. Earnings growth and margins for these companies are downstream of rising investment from US hyperscalers seeking vast amounts of compute power to develop cutting-edge large language models.

Source: Koyfin, April 2026.

Portfolio names in these areas have posted outstanding gains over the last 12 months. While we have been quick to trim positions when stock valuations exceed what we think is reasonable, we have not run away from the rally and have maintained the overweight as we can see the fundamentals accelerating. For example, the supply-demand mismatch for high bandwidth memory is so great that memory giants SK Hynix and Samsung Electronics are now among the most profitable companies in the world.

Source: Jefferies March 2026.

Earnings growth in South Korea has been so strong that valuations still look modest despite the market doubling

Samsung Electronics, Hynix and Micron are the only three companies in the world capable of producing HBM chips that are crucial components in Nvidia GPU clusters. And yet, Samsung and Hynix trade at a price to earnings multiples of less than 5x.

Source: Deutsche Bank 2026.

Optically, cheap valuations reflect a market view that these remain deeply cyclical businesses in an industry with a history of violent booms and busts and thus lack the durability in the earnings growth to award a higher multiple.

Looking at the table above, there may be a good argument that the DRAM giants are over-earning and will attract competitors. On the other hand, we are mindful that AI innovation represents a major technological shift and the possibility that this could structurally alter demand dynamics in an oligopolistic industry controlling essential and hard to replicate technologies.

Maintaining conviction with tight risk management

While the pace of capex spending by the US hyperscalers and the cash flows going to hardware suppliers is extraordinary, the parabolic stock moves in a number of the names that we hold naturally make us twitchy. Major uncertainty remains over how LLM technologies will evolve and be monetised, whether competitor frameworks will gain dominance, and if real-world bottlenecks in memory and energy may ultimately slow the pace of development.

We have been careful to trim winners and recycle profits elsewhere in emerging markets where we are seeing other opportunities that excite us. Equally, relatively modest valuations and earnings visibility on our time horizon represent a significant upside risk which leaves us happy to maintain our overweight to the AI supply chain.

The post Rallying EM equities reflect an AI-powered earnings surge appeared first on Groupe financier Connor, Clark & Lunn ltée.

Earnings remain resilient, but growth is concentrated, macro risks are building and selectivity is becoming critical.

Resilience in a tense environment

The Q1 reporting season underscores a growing divergence in global earnings. While US earnings growth remains robust, it is increasingly concentrated in AI-related industries. In contrast, Europe remains in a low-growth, late-cycle environment, while Japan continues to benefit from structural tailwinds. At the same time, a gap is emerging between the AI narrative and broader earnings. While AI-related sectors are seeing strong growth, the benefits have yet to spread across the wider economy.

The conflict in Iran has driven a sharp rise in oil prices and renewed volatility across equities and bonds, reflecting concerns around inflation and energy supply disruptions. It has also led markets to reassess the path of interest rates, with higher energy costs reducing the likelihood of near-term policy easing. This could test the resilience of corporate earnings through 2026.

So far, corporate earnings in developed markets have been more resilient than expected, despite successive macro shocks. Part of this resilience reflects lessons learned over the past five years. The pandemic period, in particular, has led to improved inventory management, stronger cost discipline and a greater willingness to implement cost optimization programs. More broadly, companies appear better equipped to manage their cost base, and in some cases, have demonstrated persistent pricing power. This has been particularly evident in industrials and technology, where contract structures and product differentiation have enabled effective price pass-through. These factors have helped preserve margins even as demand has plateaued or softened.

However, without a swift resolution to the conflict in Iran, global growth could decelerate further, exposing more vulnerable areas of the market. Discretionary spending, manufacturing and energy-intensive sectors such as transportation and logistics are likely to be most at risk. Rate-sensitive sectors, including residential real estate and REITs, could also face valuation pressure.

Looking at the broad small-cap market, balance sheets are structurally more fragile today than they were a decade ago when companies were deleveraging following the Global Financial Crisis. In the current environment, smaller companies are more exposed to rising interest costs and refinancing risk, particularly at the lower end of the quality spectrum.

Positioning for resilience

In this environment, a quality-focused approach centred on sustainable EPS growth remains critical. Our strategy continues to prioritize companies with strong balance sheets and high returns on equity.

As illustrated by our portfolio characteristics, our Global and International Small Cap strategies exhibit the following attributes:

Source: IDA, Bloomberg, MSCI

The lower leverage of these strategies points to less balance-sheet risk and better ability to navigate higher-for-longer rates. At the same time, the higher operating margins and stronger ROE, alongside faster forward EPS growth, are indicative of higher-quality businesses with more durable profitability and earnings power than the benchmark.

In addition, we continue to focus on companies exposed to structural growth drivers. Themes such as electrification, automation, health-care innovation, defence and reshoring offer improved visibility over the medium term. These areas can provide both defensive characteristics in a slowdown and operating leverage in a recovery.

The post Narrow strength, rising risk appeared first on Groupe financier Connor, Clark & Lunn ltée.

Earnings remain resilient, but growth is concentrated, macro risks are building and selectivity is becoming critical.

Resilience in a tense environment

The Q1 reporting season underscores a growing divergence in global earnings. While US earnings growth remains robust, it is increasingly concentrated in AI-related industries. In contrast, Europe remains in a low-growth, late-cycle environment, while Japan continues to benefit from structural tailwinds. At the same time, a gap is emerging between the AI narrative and broader earnings. While AI-related sectors are seeing strong growth, the benefits have yet to spread across the wider economy.

The conflict in Iran has driven a sharp rise in oil prices and renewed volatility across equities and bonds, reflecting concerns around inflation and energy supply disruptions. It has also led markets to reassess the path of interest rates, with higher energy costs reducing the likelihood of near-term policy easing. This could test the resilience of corporate earnings through 2026.

So far, corporate earnings in developed markets have been more resilient than expected, despite successive macro shocks. Part of this resilience reflects lessons learned over the past five years. The pandemic period, in particular, has led to improved inventory management, stronger cost discipline and a greater willingness to implement cost optimization programs. More broadly, companies appear better equipped to manage their cost base, and in some cases, have demonstrated persistent pricing power. This has been particularly evident in industrials and technology, where contract structures and product differentiation have enabled effective price pass-through. These factors have helped preserve margins even as demand has plateaued or softened.

However, without a swift resolution to the conflict in Iran, global growth could decelerate further, exposing more vulnerable areas of the market. Discretionary spending, manufacturing and energy-intensive sectors such as transportation and logistics are likely to be most at risk. Rate-sensitive sectors, including residential real estate and REITs, could also face valuation pressure.

Looking at the broad small-cap market, balance sheets are structurally more fragile today than they were a decade ago when companies were deleveraging following the Global Financial Crisis. In the current environment, smaller companies are more exposed to rising interest costs and refinancing risk, particularly at the lower end of the quality spectrum.

Positioning for resilience

In this environment, a quality-focused approach centred on sustainable EPS growth remains critical. Our strategy continues to prioritize companies with strong balance sheets and high returns on equity.

As illustrated by our portfolio characteristics, our Global and International Small Cap strategies exhibit the following attributes:

Source: IDA, Bloomberg, MSCI

The lower leverage of these strategies points to less balance-sheet risk and better ability to navigate higher-for-longer rates. At the same time, the higher operating margins and stronger ROE, alongside faster forward EPS growth, are indicative of higher-quality businesses with more durable profitability and earnings power than the benchmark.

In addition, we continue to focus on companies exposed to structural growth drivers. Themes such as electrification, automation, health-care innovation, defence and reshoring offer improved visibility over the medium term. These areas can provide both defensive characteristics in a slowdown and operating leverage in a recovery.

The post Narrow strength, rising risk appeared first on Groupe financier Connor, Clark & Lunn ltée.

Eurozone core inflation is lower than in the US, labour market indicators softer, money growth slower and credit conditions weaker. The UK resembles the Eurozone in most of these respects.

Last week’s ECB bank lending survey signalled tighter credit standards and notably weaker loan demand – see previous post and chart 1. The corresponding Fed survey this week, by contrast, shows little change from last quarter – chart 2. (Note that the Fed survey asks about current conditions, while the ECB survey additionally canvasses expectations.)

Chart 1

Chart 2

The last Bank of England credit conditions survey, released on 9 April, was benign but partly pre-dated Gulf hostilities.

US annual broad money growth – as measured by “M2+”* – was 5.9% in March versus an increase of 3.3% in both Eurozone non-financial M3 and UK non-financial M4 – chart 3.

Chart 3

US annual core PCE inflation rose to 3.2% in March versus a Eurozone core CPI increase of 2.2% in both March and April. UK core CPI inflation was 3.1% in March but the number still incorporates a boost from large rises in water bills and vehicle excise duty last April – the policy-adjusted measure calculated here was 2.7%.

The US trimmed mean PCE inflation measure preferred by incoming Fed Chair Warsh was 2.4% in March but there are no Eurozone / UK numbers for comparison. The calculation excludes 31% and 24% respectively of the top and bottom “tails” of the distribution, i.e. included items have a combined weight of only 45%.

Labour demand is weaker in the Eurozone / UK than the US, with Indeed job postings making new lows versus US stability – chart 4.

Chart 4

Unemployment expectations have picked up in the EU Commission consumer survey, suggesting a rise in the official jobless rate – chart 5.

Chart 5

The Fed model used here predicts policy direction based on current and lagged values of annual core PCE inflation, the unemployment rate and the ISM manufacturing delivery delays index. A rise in the latter has pushed the model estimate further into the tightening zone – chart 6.

Chart 6

*M2+ adds large time deposits at commercial banks and institutional money funds to the official M2 measure.

The post Policy perversity appeared first on Groupe financier Connor, Clark & Lunn ltée.

Eurozone core inflation is lower than in the US, labour market indicators softer, money growth slower and credit conditions weaker. The UK resembles the Eurozone in most of these respects.

Last week’s ECB bank lending survey signalled tighter credit standards and notably weaker loan demand – see previous post and chart 1. The corresponding Fed survey this week, by contrast, shows little change from last quarter – chart 2. (Note that the Fed survey asks about current conditions, while the ECB survey additionally canvasses expectations.)

Chart 1

Chart 2

The last Bank of England credit conditions survey, released on 9 April, was benign but partly pre-dated Gulf hostilities.

US annual broad money growth – as measured by “M2+”* – was 5.9% in March versus an increase of 3.3% in both Eurozone non-financial M3 and UK non-financial M4 – chart 3.

Chart 3

US annual core PCE inflation rose to 3.2% in March versus a Eurozone core CPI increase of 2.2% in both March and April. UK core CPI inflation was 3.1% in March but the number still incorporates a boost from large rises in water bills and vehicle excise duty last April – the policy-adjusted measure calculated here was 2.7%.

The US trimmed mean PCE inflation measure preferred by incoming Fed Chair Warsh was 2.4% in March but there are no Eurozone / UK numbers for comparison. The calculation excludes 31% and 24% respectively of the top and bottom “tails” of the distribution, i.e. included items have a combined weight of only 45%.

Labour demand is weaker in the Eurozone / UK than the US, with Indeed job postings making new lows versus US stability – chart 4.

Chart 4

Unemployment expectations have picked up in the EU Commission consumer survey, suggesting a rise in the official jobless rate – chart 5.

Chart 5

The Fed model used here predicts policy direction based on current and lagged values of annual core PCE inflation, the unemployment rate and the ISM manufacturing delivery delays index. A rise in the latter has pushed the model estimate further into the tightening zone – chart 6.

Chart 6

*M2+ adds large time deposits at commercial banks and institutional money funds to the official M2 measure.

The post Policy perversity appeared first on Groupe financier Connor, Clark & Lunn ltée.

The March fall from a four-plus-year high in January / February was due to a pick-up in six-month consumer price momentum, with nominal money expansion unchanged – see chart 1.

Chart 1

Commodity price strength implies a further increase in CPI momentum through May, at least – chart 2. So the slowdown in real money growth will extend unless nominal expansion accelerates – unlikely given recent upward pressure on rates.

Chart 2

The earlier rise in real money growth has been reflected in a pick-up in global industrial momentum, with April manufacturing PMI new orders also the highest for four-plus years – chart 3. Orders have received an additional boost from precautionary stockpiling triggered by Gulf War III.

Chart 3

The lead time between turning points in real money momentum and PMI new orders has recently been running at seven months, suggesting a PMI reversal from September. The stockbuilding boost may have accelerated strength, however, implying an earlier peak.

The March fall in global six-month real narrow money growth was driven by the G7 component, with E7 expansion tracking sideways – chart 4.

Chart 4

US growth fell in March but remains higher than in the rest of the G7 – chart 5.

Chart 5

The March fall in global six-month real narrow money growth is estimated to have been accompanied by a similar slowdown in industrial output expansion, implying a continued small lead for the former – chart 6. The suggestion of “excess” money support for markets is consistent with recent equity market resilience.

Chart 6

The expected further fall in real money growth, however, and near-term support for output from full order books, could result in the series converging or crossing soon.

The post Global money update: inflation squeeze appeared first on Groupe financier Connor, Clark & Lunn ltée.

The March fall from a four-plus-year high in January / February was due to a pick-up in six-month consumer price momentum, with nominal money expansion unchanged – see chart 1.

Chart 1

Commodity price strength implies a further increase in CPI momentum through May, at least – chart 2. So the slowdown in real money growth will extend unless nominal expansion accelerates – unlikely given recent upward pressure on rates.

Chart 2

The earlier rise in real money growth has been reflected in a pick-up in global industrial momentum, with April manufacturing PMI new orders also the highest for four-plus years – chart 3. Orders have received an additional boost from precautionary stockpiling triggered by Gulf War III.

Chart 3

The lead time between turning points in real money momentum and PMI new orders has recently been running at seven months, suggesting a PMI reversal from September. The stockbuilding boost may have accelerated strength, however, implying an earlier peak.

The March fall in global six-month real narrow money growth was driven by the G7 component, with E7 expansion tracking sideways – chart 4.

Chart 4

US growth fell in March but remains higher than in the rest of the G7 – chart 5.

Chart 5

The March fall in global six-month real narrow money growth is estimated to have been accompanied by a similar slowdown in industrial output expansion, implying a continued small lead for the former – chart 6. The suggestion of “excess” money support for markets is consistent with recent equity market resilience.

Chart 6

The expected further fall in real money growth, however, and near-term support for output from full order books, could result in the series converging or crossing soon.

The post Global money update: inflation squeeze appeared first on Groupe financier Connor, Clark & Lunn ltée.