Last month, we wrote to investors about how the outperformance of EM equities was the product of a very narrow rally driven by a boom in South Korean and Taiwan tech companies. We noted that despite parabolic moves in semiconductor stocks, valuations have actually become cheaper due to a massive acceleration in earnings growth underpinned by rising US hyperscaler investment seeking to power frontier AI models.

In the weeks since, tech stocks continued to surge in feverish trading led by leveraged retail investors in South Korea. Jefferies Global Head of Equity Strategies, Chris Wood, flagged in early April that margin lending in South Korea had doubled from W15.8 trillion at the end of 2024 to an incredible W32.7 trillion this year.

Korea margin loan balance (Kospi + Kosdaq)

Source: Jefferies Global Equity, April 2026.

 
Investors also rushed to gain exposure through passive vehicles including leveraged ETFs.

 CSOP SK Hynix daily 2X leveraged product

Source: Bloomberg

 
Among GEM managers, overweight positioning has been steadily rising since the beginning of 2025.

Source: NS Partners & EPFR (date to end-April 2026).

The only game in town

The acceleration in fundamentals for stocks in the AI supply chain has been so dramatic that it has swamped the broader EM investment universe. The economic drag created by the US–Iran conflict has hit markets with higher sensitivity to rising energy prices. As these markets weather the economic turbulence, AI looks increasingly like the only game in town. In response, many investors have sold down areas hit by these tailwinds to fund larger weightings in AI-exposed names.

This shift in allocation resembles Charlie Munger’s “Lollapalooza Effect,” where extreme, disproportionate outcomes arise when multiple cognitive biases and incentives converge and reinforce each other simultaneously. In this case, a shift by investors, attracted by a sharp acceleration in fundamentals, has been magnified by systematic strategies, passives and leverage chasing the momentum. As a result, the IT sector now accounts for over 40% of the benchmark.

Source: NS Partners & LSEG Datastream.

Deteriorating monetary backdrop another source of fragility

Our Chief Economist, Simon Ward, has been writing about a global monetary squeeze which began in the months leading up to Gulf War III. This was exacerbated by the war sending commodity prices and CPI momentum higher, leading to a slowdown in real money growth.

Deterioration in real money growth due to high CPI momentum

Source: Money Moves Markets, May 2026.

 
Nominal money expansion to counteract the liquidity squeeze is unlikely in the near term, with most major central banks now making more hawkish noises in response to price pressures. This means less liquidity support for markets, especially in pockets which have run hard such as semiconductors.

Broken story or a reset in overbought technicals?

In early June, crowded positioning and an itch to take profits collided with rising macro uncertainty arising from the release of strong US payroll data which topped market forecasts, igniting fears the US Federal Reserve would be forced into tightening monetary policy. It is also possible that forthcoming blockbuster IPOs of SpaceX, OpenAI and Anthropic placing a strain on market liquidity further unsettled investors sitting on large gains. This culminated in a sharp selloff on the 5^th of June, with winning trades in the tech sector suffering the most.

Source: Bloomberg data

Behavioural discipline

As noted in last month’s commentary, Rallying EM equities reflect an AI-powered earnings surge, we had been trimming AI exposure into strength on a view that parabolic stock moves would inevitably run into a pullback. We have also been re-allocating within our IT exposure (a modest c.3% overweight as at the end of May), from companies where stock performance risks becoming detached from reality and into niches benefiting from the same demand drivers but where investor enthusiasm has not been so frenzied.

Over the past few years, we have worked to sweat our risk budget within the AI-supply chain, tweaking the portfolio as data and conviction changes by rotating through a number of segments outlined below.

AI exposure across layers

Source: NS Partners, June 2026.

 
The aim of this activity is to maximise risk-adjusted returns by maintaining a healthy exposure to AI supply chain companies, but in an allocation that is cheaper, less crowded, more positively skewed and with more independent catalysts than a static allocation to the original winners.

The post Semiconductor lollapalooza stumbles appeared first on Groupe financier Connor, Clark & Lunn ltée.

Last month, we wrote to investors about how the outperformance of EM equities was the product of a very narrow rally driven by a boom in South Korean and Taiwan tech companies. We noted that despite parabolic moves in semiconductor stocks, valuations have actually become cheaper due to a massive acceleration in earnings growth underpinned by rising US hyperscaler investment seeking to power frontier AI models.

In the weeks since, tech stocks continued to surge in feverish trading led by leveraged retail investors in South Korea. Jefferies Global Head of Equity Strategies, Chris Wood, flagged in early April that margin lending in South Korea had doubled from W15.8 trillion at the end of 2024 to an incredible W32.7 trillion this year.

Korea margin loan balance (Kospi + Kosdaq)

Source: Jefferies Global Equity, April 2026.

 
Investors also rushed to gain exposure through passive vehicles including leveraged ETFs.

 CSOP SK Hynix daily 2X leveraged product

Source: Bloomberg

 
Among GEM managers, overweight positioning has been steadily rising since the beginning of 2025.

Source: NS Partners & EPFR (date to end-April 2026).

The only game in town

The acceleration in fundamentals for stocks in the AI supply chain has been so dramatic that it has swamped the broader EM investment universe. The economic drag created by the US–Iran conflict has hit markets with higher sensitivity to rising energy prices. As these markets weather the economic turbulence, AI looks increasingly like the only game in town. In response, many investors have sold down areas hit by these tailwinds to fund larger weightings in AI-exposed names.

This shift in allocation resembles Charlie Munger’s “Lollapalooza Effect,” where extreme, disproportionate outcomes arise when multiple cognitive biases and incentives converge and reinforce each other simultaneously. In this case, a shift by investors, attracted by a sharp acceleration in fundamentals, has been magnified by systematic strategies, passives and leverage chasing the momentum. As a result, the IT sector now accounts for over 40% of the benchmark.

Source: NS Partners & LSEG Datastream.

Deteriorating monetary backdrop another source of fragility

Our Chief Economist, Simon Ward, has been writing about a global monetary squeeze which began in the months leading up to Gulf War III. This was exacerbated by the war sending commodity prices and CPI momentum higher, leading to a slowdown in real money growth.

Deterioration in real money growth due to high CPI momentum

Source: Money Moves Markets, May 2026.

 
Nominal money expansion to counteract the liquidity squeeze is unlikely in the near term, with most major central banks now making more hawkish noises in response to price pressures. This means less liquidity support for markets, especially in pockets which have run hard such as semiconductors.

Broken story or a reset in overbought technicals?

In early June, crowded positioning and an itch to take profits collided with rising macro uncertainty arising from the release of strong US payroll data which topped market forecasts, igniting fears the US Federal Reserve would be forced into tightening monetary policy. It is also possible that forthcoming blockbuster IPOs of SpaceX, OpenAI and Anthropic placing a strain on market liquidity further unsettled investors sitting on large gains. This culminated in a sharp selloff on the 5^th of June, with winning trades in the tech sector suffering the most.

Source: Bloomberg data

Behavioural discipline

As noted in last month’s commentary, Rallying EM equities reflect an AI-powered earnings surge, we had been trimming AI exposure into strength on a view that parabolic stock moves would inevitably run into a pullback. We have also been re-allocating within our IT exposure (a modest c.3% overweight as at the end of May), from companies where stock performance risks becoming detached from reality and into niches benefiting from the same demand drivers but where investor enthusiasm has not been so frenzied.

Over the past few years, we have worked to sweat our risk budget within the AI-supply chain, tweaking the portfolio as data and conviction changes by rotating through a number of segments outlined below.

AI exposure across layers

Source: NS Partners, June 2026.

 
The aim of this activity is to maximise risk-adjusted returns by maintaining a healthy exposure to AI supply chain companies, but in an allocation that is cheaper, less crowded, more positively skewed and with more independent catalysts than a static allocation to the original winners.

The post Semiconductor lollapalooza stumbles appeared first on Groupe financier Connor, Clark & Lunn ltée.

Rack Attack, a Banyan Capital Partners portfolio company, today announced its partnership with RealTruck, bringing RealTruck products and expertise to all 45 Rack Attack retail locations. The partnership is designed to expand customer access to premium truck accessories, supported by in-store expertise and installation services.

“The launch of official RealTruck store-in-store retail shops within our Rack Attack locations will elevate our partnership and create the ultimate customer experience. Together, we are offering truck owners and outdoor enthusiasts the greatest choice of products, combined with the best service across all our markets in North America,” says Alexander Welbers, CEO, Rack Attack.

The post Rack Attack and RealTruck announce retail partnership across North America appeared first on Groupe financier Connor, Clark & Lunn ltée.

Global manufacturing PMI new orders edged down in May from April’s four-year-plus high. The expectation here has been for a further decline in H2, reflecting a slowdown in global six-month real narrow money momentum from a February peak – see previous post.

Two recent releases support this forecast. First, one-month growth of the OECD’s G7 leading indicator fell again in May. Growth peaked in December and has led PMI new orders by three months on average historically, suggesting that April’s orders high will prove lasting – see chart 1.

Chart 1

Secondly, the PMI stocks of purchases index indicates that stockpiling of inputs accelerated further last month, likely marking a cycle peak – chart 2.

Chart 2

Growth in new orders is related to the rate of change of stockbuilding, implying a slowdown even in the unlikely event that the stocks of purchases index remains at its current extended level – chart 3.

Chart 3

The post More slowdown signals appeared first on Groupe financier Connor, Clark & Lunn ltée.

Global manufacturing PMI new orders edged down in May from April’s four-year-plus high. The expectation here has been for a further decline in H2, reflecting a slowdown in global six-month real narrow money momentum from a February peak – see previous post.

Two recent releases support this forecast. First, one-month growth of the OECD’s G7 leading indicator fell again in May. Growth peaked in December and has led PMI new orders by three months on average historically, suggesting that April’s orders high will prove lasting – see chart 1.

Chart 1

Secondly, the PMI stocks of purchases index indicates that stockpiling of inputs accelerated further last month, likely marking a cycle peak – chart 2.

Chart 2

Growth in new orders is related to the rate of change of stockbuilding, implying a slowdown even in the unlikely event that the stocks of purchases index remains at its current extended level – chart 3.

Chart 3

The post More slowdown signals appeared first on Groupe financier Connor, Clark & Lunn ltée.

AI infrastructure investment has moved upstream. The advent of ChatGPT, Claude and other AI applications fueled demand for semiconductor chips that enable the software to “think.” The demand concurrently brought about record capital expenditures to build out hyperscale data centres housing those chips. Now the bottleneck is even more basic: power. For AI, electricity is no longer a utility input; it is strategic infrastructure.

Data centre growth needs energy – a lot of it

That shift is colliding with a US grid whose expansion is constrained at multiple points: new generators are stuck in interconnection queues; interstate transmission still requires approvals across multiple jurisdictions; transformer shortages are delaying grid upgrades; and local opposition is increasingly slowing or cancelling data centre projects. North American Electric Reliability Corporation’s 2025 long-term reliability assessment warned that 13 of 23 North American assessment areas face resource-adequacy challenges over the next decade, underscoring that the issue is not only energy volume, but deliverability and reliability.

Electric Power Research Institute’s Powering Intelligence 2026 report makes the same point from the data centre side. Its “Generation and Capacity Impacts of Data Center Load” analysis finds that data centre growth could require large additions of generation and transmission capacity, but that supply-chain, siting and permitting constraints may limit how fast those additions arrive. In least-cost scenarios, incremental data centre load is met primarily by new and existing gas generation rather than carbon-free resources.

Getting power to where it’s hard to get

That naturally explains the recent order flow into large reciprocating engines. In April, the Finnish vessel engine manufacturer Wärtsilä Oyj Abp announced a 790 MW off-grid power solution for a new Texas data centre facility, using its 50SG natural gas engines. Wärtsilä explicitly framed the order around fast access to reliable power in a region where the grid cannot adequately meet urgent AI-infrastructure demand. Around the same time, the Korean shipbuilder HD Hyundai Heavy Industries Co. Ltd. disclosed that it had signed a US data centre power generation equipment contract based on its 20 MW-class HiMSEN engines, citing total capacity of 684 MW.

The appeal is straightforward. Large reciprocating engines are modular, dispatchable, fast-starting, scalable in increments and deployable closer to load than central-station plants. Compared with combined-cycle gas turbines, nuclear projects or major transmission upgrades, they can often be installed in shorter phases and avoid waiting years for grid interconnection. For a data centre developer, speed-to-power can be as important as cost-of-power.

Maintaining engine power at sea and on land

HD Hyundai Marine Solution Co. Ltd. (443060 KS) in our Emerging Markets Small Cap Strategy is the sole authorized provider of maintenance, repair and overhaul (MRO) aftermarket services to HiMSEN engines worldwide. As a HD Hyundai-affiliate, the company benefits from having HD Hyundai Heavy Industries – the world’s second largest shipbuilder and the largest manufacturer of medium-speed 4-stroke vessel engines – as a captive market. Of approximately 17,000 HiMSEN units in operation globally (most of them generating power for over 4,000 ships at sea), roughly 2,000 units are generating power on the ground.

Could data centres move offshore?

Mitsui O.S.K. Lines and Karpowership’s Kinetics have already signed a memorandum of understanding to develop what they describe as the world’s first integrated floating data centre platform, hosted on a retrofitted vessel and supplied by a powership capable of using LNG. In that scenario, vessel-engine makers are also powering the physical layer of AI.

The post From sea to shore: Vessel engines enter the AI infrastructure race appeared first on Groupe financier Connor, Clark & Lunn ltée.

AI infrastructure investment has moved upstream. The advent of ChatGPT, Claude and other AI applications fueled demand for semiconductor chips that enable the software to “think.” The demand concurrently brought about record capital expenditures to build out hyperscale data centres housing those chips. Now the bottleneck is even more basic: power. For AI, electricity is no longer a utility input; it is strategic infrastructure.

Data centre growth needs energy – a lot of it

That shift is colliding with a US grid whose expansion is constrained at multiple points: new generators are stuck in interconnection queues; interstate transmission still requires approvals across multiple jurisdictions; transformer shortages are delaying grid upgrades; and local opposition is increasingly slowing or cancelling data centre projects. North American Electric Reliability Corporation’s 2025 long-term reliability assessment warned that 13 of 23 North American assessment areas face resource-adequacy challenges over the next decade, underscoring that the issue is not only energy volume, but deliverability and reliability.

Electric Power Research Institute’s Powering Intelligence 2026 report makes the same point from the data centre side. Its “Generation and Capacity Impacts of Data Center Load” analysis finds that data centre growth could require large additions of generation and transmission capacity, but that supply-chain, siting and permitting constraints may limit how fast those additions arrive. In least-cost scenarios, incremental data centre load is met primarily by new and existing gas generation rather than carbon-free resources.

Getting power to where it’s hard to get

That naturally explains the recent order flow into large reciprocating engines. In April, the Finnish vessel engine manufacturer Wärtsilä Oyj Abp announced a 790 MW off-grid power solution for a new Texas data centre facility, using its 50SG natural gas engines. Wärtsilä explicitly framed the order around fast access to reliable power in a region where the grid cannot adequately meet urgent AI-infrastructure demand. Around the same time, the Korean shipbuilder HD Hyundai Heavy Industries Co. Ltd. disclosed that it had signed a US data centre power generation equipment contract based on its 20 MW-class HiMSEN engines, citing total capacity of 684 MW.

The appeal is straightforward. Large reciprocating engines are modular, dispatchable, fast-starting, scalable in increments and deployable closer to load than central-station plants. Compared with combined-cycle gas turbines, nuclear projects or major transmission upgrades, they can often be installed in shorter phases and avoid waiting years for grid interconnection. For a data centre developer, speed-to-power can be as important as cost-of-power.

Maintaining engine power at sea and on land

HD Hyundai Marine Solution Co. Ltd. (443060 KS) in our Emerging Markets Small Cap Strategy is the sole authorized provider of maintenance, repair and overhaul (MRO) aftermarket services to HiMSEN engines worldwide. As a HD Hyundai-affiliate, the company benefits from having HD Hyundai Heavy Industries – the world’s second largest shipbuilder and the largest manufacturer of medium-speed 4-stroke vessel engines – as a captive market. Of approximately 17,000 HiMSEN units in operation globally (most of them generating power for over 4,000 ships at sea), roughly 2,000 units are generating power on the ground.

Could data centres move offshore?

Mitsui O.S.K. Lines and Karpowership’s Kinetics have already signed a memorandum of understanding to develop what they describe as the world’s first integrated floating data centre platform, hosted on a retrofitted vessel and supplied by a powership capable of using LNG. In that scenario, vessel-engine makers are also powering the physical layer of AI.

The post From sea to shore: Vessel engines enter the AI infrastructure race appeared first on Groupe financier Connor, Clark & Lunn ltée.

Crestpoint Real Estate Investments is pleased to continue its partnership with Vestcor and Anthem Properties on King + Park, a landmark mixed-use masterplan at the gateway to Burnaby. Joined by the Mayor of Burnaby and other guests, Crestpoint, Vestcor and Anthem celebrated the project’s ceremonial groundbreaking on June 1, 2026.

Situated in a transit-oriented setting, the full King + Park masterplan includes:

• 724 rental homes in two towers over a shared podium (Phase 1 now under construction)
• Restoration of the iconic Boot Office Tower
• 512,350 sq ft of retained and restored office space (the Boot)
• 43,402 sq ft of commercial space delivered across all phases
• 1,559 strata homes (future phase)

As Max Rosenfeld, Executive Vice President and Head of Asset Management at Crestpoint, noted, King + Park is “a distinct opportunity to honour heritage and reimagine a site simultaneously,” and Crestpoint is thrilled to be partnering on a vision that will have a positive, lasting impact.

The post Crestpoint, Vestcor and Anthem break ground on King + Park appeared first on Groupe financier Connor, Clark & Lunn ltée.

La société Crestpoint Real Estate Investments est heureuse de poursuivre son partenariat avec Vestcor et Anthem Properties dans le cadre du projet d’envergure King + Park, un immeuble à usage mixte à la frontière de Burnaby. En compagnie du maire de Burnaby et d’autres invités, Crestpoint, Vestcor et Anthem ont pris part à la cérémonie d’inauguration des travaux du projet le 1er juin 2026.

Situé dans un milieu axé sur le transport en commun, le projet complet de King + Park comprend :

• 724 logements locatifs dans deux tours sur un même socle (la phase 1 est en cours de construction)
• Restauration de l’emblématique Boot Office Tower
• 512 350 pieds carrés de locaux à bureaux conservés et restaurés (Boot)
• 43 402 pieds carrés d’espaces commerciaux livrés à toutes les phases
• 1 559 logements en copropriété divise (phase future)

Comme l’a souligné Max Rosenfeld, vice-président exécutif et chef de la gestion des biens à Crestpoint, King + Park est « à la fois une occasion unique d’honorer le patrimoine et de réinventer un site », et Crestpoint est ravie de prendre part à un projet qui aura un impact positif et durable.

The post Crestpoint, Vestcor et Anthem célèbrent l’inauguration des travaux de construction de King + Park appeared first on Groupe financier Connor, Clark & Lunn ltée.

Three-month annualised growth of Eurozone narrow money – as measured by non-financial M1 – slumped from 5.3% to 1.5% between January and April. UK growth fell from 3.8% to 0.7% over the same period, with a large contraction in April alone.

The nominal slowdowns compound a squeeze on real money from consumer price acceleration due to the Gulf War III supply shock. Six-month momentum of real narrow money fell to zero in the UK in April while turning negative in the Eurozone – see chart 1.

Chart 1

Real money contractions have been a recession warning signal historically. An obvious push-back is that much greater weakness in 2022-23 was not reflected in a subsequent economic slump. Negative momentum was a misleading indicator of monetary conditions then because of a large overhang from the 2020-21 money growth surge. There is no such overhang now, so dismissing current weakness on the basis of that experience is dangerous.

Broad money trends are also worrying, with nominal growth of only 3.5% and 3.6% annualised respectively in Eurozone non-financial M3 and UK non-financial M4 in the three months to April. US broad money, by contrast, expanded at a 7.6% pace over the same period (M2+ measure).

Globally, six-month real narrow money momentum fell for a second month in April, supporting the forecast of a fall in manufacturing PMI new orders during H2 – chart 2.

Chart 2

The post Alarming Eurozone / UK money data appeared first on Groupe financier Connor, Clark & Lunn ltée.