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Germany's 10-year government bond, negative 0.5% during the pandemic, now yields 3.46%, while the UK's has climbed to 5.5% and Japan's to about 3%. International equity portfolio manager David Ragan examines what the rise in global rates means for how the team values companies. He explains why higher discount rates change the math on future cash flows, how a bank in Ireland became attractively priced once its post-crisis turnaround was overlooked, and why the team treats China's low risk-free rate as artificially depressed. Above all, he returns to a simple idea: the value of diversification. Key Takeaways Global bond yields have risen broadly this year: Germany's 10-year, negative 0.5% during COVID, is now 3.46%, the UK's is 5.5%, and Japan's has climbed from 0% to about 3%. China is the exception. Tight capital controls, a weak real estate market, and cautious bank lending have kept its market rates falling even as the rest of the world's have risen. Higher government rates mean higher discount rates and lower equity values unless growth offsets them; a 9% IRR that looked attractive five years ago no longer automatically clears the bar. The team initiated a position in an Irish bank with a deposit beta of about 0.2%, meaning funding costs barely move when interest rates rise, which widens the spread it earns on loans. In China, the team treats the low risk-free rate as artificially depressed and adds a larger equity risk premium on top, even on a top holding, Tencent, with an IRR still above 10%. The team keeps the portfolio deliberately diversified, from capital-cycle businesses such as BHP Billiton to names tied to AI demand, so no single environment decides the outcome. Host: Rob Campbell, CFA, Mawer Institutional Portfolio Manager Guest: David Ragan, CFA, Mawer Portfolio Manager, International Equity   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/ #ArtOfBoring #MawerInvestmentManagement #MawerInvestment #Podcasts

Q3 2026 market update: Canadian investment-grade bonds returned roughly negative 3% while stock markets in many parts of the world ended September near record highs. Institutional portfolio manager Kevin Minas and investment counsellor Stu Morrow review the quarter, from oil above $100 a barrel and a more hawkish Fed to bond yields at multi-year highs. They discuss why hyperscalers borrowing over US$200 billion this year is crowding out other issuers, what a narrow AI-led rally means when more than half of the S&P 500 sits 20% below its peak, and whether the 60-40 portfolio still needs 40% in traditional bonds. The conversation closes on the quarter's asset allocation changes in the balanced strategy.   Key Takeaways Bonds had a difficult quarter. The FTSE Canada Universe printed a negative 3% return as yields climbed to multi-year highs on inflation, fiscal deficits, and growing debt burdens, with flashbacks of 2022 for bond investors. Oil mostly above $100 a barrel kept inflation in the conversation. A more hawkish message from the Fed at Jackson Hole shifted the debate from when rates get cut to whether more hikes are needed, and the ECB raised rates while the Bank of Canada held. Hyperscaler borrowing is crowding out other issuers. Microsoft, Amazon, Meta, and peers have issued over US$200 billion of debt year to date in 2026, and because AI is treated as an existential race, those borrowers are less sensitive to their cost of capital. The equity rally is real but narrow. AI infrastructure and the hyperscalers account for roughly two-thirds of expected 2026 earnings growth, yet more than half of S&P 500 stocks ended September about 20% below their all-time highs. For a 60-40 investor, 40% in traditional bonds may no longer be the right number. Pairing core fixed income with an unconstrained global credit strategy means taking duration risk only where the team is being paid to, and the team added triple-B corporate issues at 7% to 8% yields.   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/ #ArtOfBoring #MawerInvestmentManagement #MawerInvestment #Podcasts

Canada-U.S. tariffs are back, and Canadian investors are asking what they mean for their portfolios. Canadian equity portfolio manager Vijay Viswanathan and fixed income portfolio manager Crista Caughlin break down the tariff picture and last month's Canada Investment Summit across stocks and bonds. They cover why the equity portfolio carries little trade-exposed revenue once exempt commodities like oil and potash are set aside, why unemployment matters more than tariffs for Canadian banks, and how a new business-investment tax deduction pulls the effective rate below the U.S. The conversation closes on a simple idea: what the summit needs now is shovels in the ground, not sound bites on TV.   Key Takeaways The macro backdrop has reversed since 2025: inflation is grinding higher on oil, and the Bank of Canada may hike rather than cut. The 50% tariff headline overstated reality; USMCA held up and exempt commodities kept trade-exposed revenue low. About 45% of the Canadian equity portfolio's revenue is CAD and roughly 30% USD, but little is in goods tariffs can easily target. For banks, unemployment is the KPI that matters; loan losses follow job losses, and diversified business mixes add resilience. A new tax deduction pulls the effective rate on new investment toward 6% versus roughly 16% in the U.S., but market access still constrains exporters. The summit's trillion-dollar ambition means a decade of debt issuance, with crowding-out risk against hyperscaler and AI borrowing.   Host: Andrew Johnson, Institutional Portfolio Manager Guest: Crista Caughlin, Fixed Income Portfolio Manager Guest: Vijay Viswanathan, Director of Research, Canadian Equity Portfolio Manager   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/  https://www.instagram.com/mawerinvestmentmanagement/

Global credit is absorbing record corporate bond supply as the AI data centre build-out floods the market with debt, yet spreads remain at multi-decade tights. Global credit analysts Sandro Morassutti and Marty Lee revisit the risks the team flagged a year ago, AI-linked issuance, Fed credibility and independence, fiscal spending, and geopolitical risk, and explain why credit spreads have held while government yields have driven the move. They walk through term premium and the long end, why they favour short-dated high-quality credit, the modest duration they have added, and how they are positioned to act when a dislocation finally arrives. Key Takeaways AI data centre debt has driven U.S. corporate bond supply to about $1.7 trillion, up 27% year over year and on track for a record. Despite record issuance, investment-grade spreads sit near 80 basis points and high yield is tighter year to date, at multi-decade tights. Most of the move in yields has come from government bonds: sovereign yields hit multi-decade highs in the U.K., Japan, and beyond. The Fed hiked and kept its independence, but credibility and term premium concerns helped push the U.S. 10-year through 5%. Credit is not directly pricing geopolitical risk; ECB research shows spreads repricing far less than history would imply. The team favours short-dated, high-quality credit, added modest duration (about 1.2 to just over 2 years), and lifted high yield from roughly 8-9% to 15-16%. The goal is not to predict the dislocation but to hold the quality and liquidity to buy one.   Companies Mentioned: Amazon, Alphabet, Meta, Oracle   Host: Kevin Minas, CFA, CAIA, Mawer Institutional Portfolio Manager Guest: Sandro Morassutti, Mawer Credit Analyst; Marty Lee, Mawer Credit Analyst   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/  https://www.instagram.com/mawerinvestmentmanagement/

Is AI compute demand durable? Emerging markets equity portfolio manager Wen Quan Cheong returns from a research trip across Taiwan and South Korea and examines AI chip demand, the semiconductor supply chain, and the companies with the strongest structural tailwinds. He breaks compute demand into training, alignment, and inference, explains why margins can widen further down the AI supply chain, and shares what TSMC, SK Hynix, and Samsung revealed about whether this capital cycle is different from the dot-com boom. He also explains how the team trimmed into a crowded AI trade, and makes the case for a non-AI idea: a port operator in the Philippines.   Key Takeaways Slowing the pace of AI is partly a safety and alignment story, and alignment work is itself compute-hungry, which could offset a slower training cycle. Compute demand splits into training, alignment, and inference; inference is skyrocketing with agentic AI, and one lab's training-to-inference mix has gone from ~80-85% training to about 50/50. AI looks under-penetrated on tokens per user and per agent, the real driver of compute demand, even as user penetration is already high. Research trips are a deliberate edge; early groundwork let the team act quickly on clean-room contractor Acter. Margins can widen further down the AI supply chain thanks to consolidation and price-inelastic hyperscaler demand. TSMC and memory makers point to a stronger foundation than dot-com and multi-year agreements that lengthen the cycle, though overbuilding is still a risk. A non-AI idea: a Philippine port operator with defensive, price-setter characteristics and a potential Brazil concession as optionality. 0:00 - Introduction: AI Concerns and Emerging Markets 1:30 - AI Safety, Pacing, and What It Means for Chip Demand 5:03 - Three Buckets of Compute: Training, Alignment, Inference 8:23 - Is AI Demand Under-Penetrated? Users vs. Tokens 9:51 - Why Research Trips Are an Investing Edge 15:20 - Acter: The Clean-Room Bottleneck Behind the Chips 16:58 - Why Margins Grow Further Down the AI Supply Chain 18:50 - TSMC and Memory Makers: Is This Cycle Different? 22:54 - Reading the Market Signal in a Crowded AI Trade 25:48 - A Non-AI Idea: A Port Operator in the Philippines 28:12 - Outro & Subscribe   Host: Rob Campbell, CFA, Mawer Institutional Portfolio Manager Guest: Wen Quan Cheong, CFA, Mawer Emerging Markets Equity Portfolio Manager   Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/

Global equity portfolio manager, Paul Moroz, speaks to a wide range of market topics, including what higher discount rates mean for equity valuations and the subtle shifts you might not see in the headlines but that absolutely matter. Stay tuned for the second half, where Paul discusses Millennium Prize math problems, humility, podcast proliferation, and entropy—for those seeking useful mental models for portfolio construction, the payoff is worthwhile. Key Highlights: Bond yields set the discount rate for every asset, and the 10-year U.S. Treasury is above 5%. A 1% rise in the discount rate implies roughly a 15% decline in equities, yet markets are near highs. NVIDIA at 13 times next year's earnings suggests multiples compressed while earnings carried prices. Positioning has moved toward rate beneficiaries and away from consumer discretionary. A portfolio should work like a rope, with many independent strands so no single one carries the load. Most of what an investor sees is noise; the work is putting energy into the part that matters.   0:00 - Introduction: Rising Bond Yields and Record Highs 1:11 - Why Equity Markets Keep Climbing the Wall of Worry 3:30 - Are Corporate Earnings Just AI? 4:45 - Bond Yields, Discount Rates and the 10-Year Treasury 7:55 - The Equity Duration Math: 1% in Rates, 15% in Stocks 9:32 - NVIDIA at 13 Times Earnings: Growing Into Valuations 11:19 - How Higher Rates Changed the Portfolio 13:38 - Building a Portfolio Like a Rope 16:06 - Humility as an Investment Process 18:45 - ChatGPT Solves a Millennium Prize Problem 23:00 - Entropy Explained: Perfume, Lawns, and Chaos 24:49 - Podcast Proliferation and the Nash Equilibrium 27:40 - Knowledge Adds, Wisdom Subtracts 29:10 - Outro and Subscribe   Host: Rob Campbell, CFA, Mawer Institutional Portfolio Manager Guest: Paul Moroz, CFA, Mawer Portfolio Manager   This episode is available for download anywhere you get your podcasts. Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore. Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/

Private equity is opening up to individual investors, and the line between public and private markets is blurring. In this episode, private investments portfolio manager Peter Lieu and institutional portfolio manager Kevin Minas break down secondaries and continuation vehicles, the difference between IRR and distributions, and how Mawer built institutional-quality private equity access through fund commitments, co-investments, and vintage-year diversification, including a new mutual fund trust for registered accounts like RRSPs and TFSAs. 0:00 - Introduction: Private Equity Beyond Endowments and Pensions 1:30 - A Brief History of Private Equity Allocations: Yale to the Maple 8 2:58 - Public-Private Convergence: Why Companies Stay Private Longer 6:17 - Secondaries and Continuation Vehicles Explained 9:40 - IRR vs. Distributions: The Delayed-Exit Debate 13:45 - Bringing Private Equity to Retail: Institutional-Quality Access 15:14 - Co-Investments and 50 Years of Business-Model Analysis 18:25 - Why a Mutual Fund Trust for RRSPs and TFSAs 20:22 - Liquidity and Redemption Windows in a Semi-Liquid Structure 22:21 - Private Equity Returns in a Higher-Rate World 26:06 - What's Next: Sports, Live Entertainment, and Democratization 32:13 - Outro & Subscribe   -The line between public and private markets is blurring. Companies are staying private longer, more financing is available without an IPO, and public companies are increasingly being taken private, so accessing value early in a company's life increasingly depends on having private equity exposure.   -Continuation vehicles are the modern version of the secondary buyout, not a new idea. They let a manager hold a strong business for longer, and roughly 90% of LPs who can roll into the new vehicle choose to take liquidity instead, which creates both a conundrum for investors and an opportunity for disciplined buyers.   -Distributions matter as much as IRR. IRR assumes capital is reinvested at the same rate and can look healthy even when little cash has been returned, so the team evaluates managers on money multiples and cash back, not IRR alone.   -Mawer built its access the way large institutions do. The program pairs fund commitments for diversification across companies, geographies, sectors, and vintage years with no-fee, no-carry co-investments, where the firm applies 50 years of business-model analysis to a single company decision.   -Registered accounts and private equity are naturally aligned. A new mutual fund trust extends the strategy to RRSPs, LIRAs, and TFSAs, where long time horizons and capital that is already locked up match the illiquidity of the asset class.   -Recent returns have been weaker as higher rates pressured valuations and exits slowed while public markets outperformed, but the long-term value drivers remain in place, and a staggered deployment that began in 2022 positioned the strategy for a constructive backdrop.   Companies and Assets Mentioned: SpaceX, Amazon, Alpine F1 team, University of Utah Athletics, RedBird Capital, Otro.   Host: Rob Campbell, CFA, Mawer Institutional Portfolio Manager Guest: Kevin Minas, CFA, MBA, CAIA, Mawer Institutional Portfolio Manager Guest: Peter Lieu, CFA, Mawer Portfolio Manager, Private Investments   This episode is available for download anywhere you get your podcasts. Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore. Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/

AI CapEx is on track to reach roughly $700 billion at the four largest hyperscalers this year, and equity analyst Irena Petkovic breaks down where all that money is going and what has to be true for it to earn a return. She explains how data centers turned from cost centers into revenue-producing AI factories, the four ways hyperscalers monetize compute, and how the token economy actually works. She then weighs the early evidence of returns against the risks around token pricing, debt financing, and public backlash, and describes how the team positions the portfolio around it. 0:00 - Introduction: The $700 Billion AI CapEx Question 1:29 - How Big Is the Spend? Apollo, Telecom, and Railroads 4:11 - Data Centers as AI Factories: From Cost Center to Revenue 5:53 - Four Ways Hyperscalers Monetize Compute 7:10 - The Token Economy Explained 11:26 - Early Evidence of Returns on AI Investment 14:39 - The Bear Case: Token Prices, Debt, and Backlash 18:49 - Positioning the Portfolio Around AI 20:35 - Outro & Subscribe   Highlights: Hyperscaler AI CapEx of about $700 billion this year is a scale rivaled historically only by the railroads. Capital intensity at Microsoft, Meta, Google, and Amazon has jumped from 5-10% of revenue to upwards of 45%. A high return on invested capital justifies spending down free cash flow rather than protecting it. The data center is now a revenue-producing AI factory that turns electricity and chips into sellable tokens. Compute is monetized four ways: GPU rental, productivity products, enhancing own businesses, and selling tokens. Early returns look encouraging, with sub-three-year hardware payback cited and demand exceeding supply. Risks to watch are token prices falling faster than volumes and a shift toward debt-funded build outs.   Host: Rob Campbell, CFA, Mawer Institutional Portfolio Manager Guest: Irena Petkovic, CFA, Mawer Equity Analyst   This episode is available for download anywhere you get your podcasts. Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore. Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/

How do you value a memory semiconductor stock like SK Hynix when no one can predict DRAM prices? Equity analyst Shan Rui Yeo walks through the team's Monte Carlo valuation framework: a discounted cash flow run through thousands of scenarios that prices the business on a distribution of returns rather than a single forecast. He also explains how two-times leveraged single-stock ETFs have been amplifying SK Hynix's daily price swings, why regulators and Korean brokers are responding to retail leverage, and why flow-driven volatility can be a gift for long-term investors. The through-line: memory can be cyclical, structurally growing, and wealth-creating all at once. 0:00 - Introduction & Disclaimer 0:21 - How Do You Value a Memory Stock Amid Huge Uncertainty? 0:54 - Monte Carlo Valuation: Pricing SK Hynix on a Distribution of Outcomes 5:27 - Day-to-Day Volatility: Fundamentals or Flows? 6:17 - How 2x Leveraged Single-Stock ETFs Amplify SK Hynix Price Swings 9:40 - What Investors Underappreciate About the Memory Industry 10:21 - Closing Thoughts & Subscribe Key Takeaways Key uncertain variables (DRAM prices, supply response, China risk) are modelled as ranges and run through thousands of scenarios; the output is a distribution of returns, treated stochastically. SK Hynix scenarios: bull (prices hold through the decade), realistic (decline from 2028 as supply arrives), bear (accelerated decline on over-investment and Chinese supply). The test is being paid adequately across the whole distribution, not picking the right scenario; the distribution centred around 12% with positive skew. New data points (LTAs signed, capacity expansion) update the distributions; position sizing follows the shape, and the team trimmed as the shares ran. Two-times leveraged ETFs rebalance by buying after rises and selling after falls, amplifying 10 to 15% daily moves in SK Hynix. Flow-driven volatility widens the gap between price and value, which long-term investors can use. Memory can be cyclical, structurally growing, and wealth-creating at the same time. Host: Rob Campbell, CFA, Institutional Portfolio Manager Guest: Shan Rui Yeo, CFA, Equity Analyst This episode is available for download anywhere you get your podcasts. Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore. Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/ #ArtOfBoring #MawerInvestmentManagement #MawerInvestment #Podcast #Finance #Investing #semiconductor #tech #techexplained #memory #skhynix

Memory has been one of the strongest corners of the semiconductor industry, and strong returns invite hard questions. In the second part of this series, equity analyst Shan Rui Yeo examines the main risks to the memory thesis: rising competition from China's CXMT and YMTC, the technologies that could reduce AI's appetite for memory, and the wave of capacity investment that could eventually tip the industry back into oversupply. He weighs each risk against the constraints holding it back, from equipment export controls to limited EUV supply, and notes that memory companies already trade at three to five times forward earnings. The conversation closes on a working principle: treat the terminal value as a distribution, not a fixed number. Key Takeaways China's CXMT is expanding DRAM capacity aggressively, but export controls on sub-18 nanometre equipment and EUV keep its effective supply share (about 10%) below its capacity share (about 15%). YMTC is the more credible technological threat: NAND density comes from stacking layers, and its Xtacking hybrid bonding architecture is proprietary. Efficiency gains may grow memory consumption rather than reduce it; cheaper tokens get spent on larger context windows (the Jevons paradox). The deepest risk is architectural: if large language models are not the path to AGI, the next paradigm may not be memory hungry, so terminal value is a distribution, not a fixed number. Announced capex is enormous but back-loaded into the 2030s, and EUV and equipment capacity are the bottleneck to bringing it online. Memory companies trade at three to five times forward earnings; the market is not assuming supernormal profits forever, and the NAND supply outlook is better in the near term. Companies Mentioned: Samsung, SK Hynix, Micron, CXMT (ChangXin Memory), YMTC (Yangtze Memory), Apple, NVIDIA, Google, ASML, Applied Materials, KLA, Lam Research, TSMC, Intel, Kioxia Host: Rob Campbell, CFA, Institutional Portfolio Manager Guest: Shan Rui Yeo, CFA, Equity Analyst   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/

One of the defining market stories of the past 12 months has not been AI chips that compute, but the chips that remember. Equity analyst Shan Rui Yeo explains how memory works, from DRAM and NAND to high bandwidth memory, and how an industry that destroyed wealth for four decades became disciplined after consolidating to three players in 2013. He then walks through what changed: AI inference has made memory the key bottleneck, memory content is climbing with each new generation of GPUs, and new supply takes three to four years to build. With prices up sharply and customers signing long-term agreements, Part 1 of this three-part conversation lands on a commodity industry whose business model is changing in real time.   Key Takeaways Memory is a commodity with a three-to-four-year supply lag, which is why the cycle has always been difficult. Consolidation to three players in 2013 turned four decades of wealth destruction into at least 15% returns on capital through the cycles. In AI inference, memory bandwidth sets the speed of token generation, making memory the key bottleneck. NVIDIA's Rubin GPU carries 384 GB of DRAM, the equivalent of 32 iPhones per GPU, or 160 million iPhones across five million GPUs. HBM consumes three times the wafer capacity of standard DRAM (four times with HBM4) and is forecast to absorb 30% of DRAM wafers by 2027. DRAM contract prices are up roughly 200% year to date and 400 to 500% year over year, and price increases are reaching phones, laptops, and consoles. Customers are signing three-to-five-year agreements with prepayments, which could support a re-rating of memory companies.   Companies Mentioned: Samsung Electronics, SK Hynix, Micron, NVIDIA, Intel, Texas Instruments, Apple, Nintendo   Host: Rob Campbell, CFA, Institutional Portfolio Manager Guest: Shan Rui Yeo, CFA, Equity Analyst   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.   Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/ #ArtOfBoring #MawerInvestmentManagement #MawerInvestment #Podcasts

Canada has spent a generation underinvesting in the infrastructure and resources that underpin its economy, and that may be starting to change. Canadian small cap equity analyst Dominic Drzazga examines the Build Canada theme: what it actually means beyond the headlines, and what has shifted since the federal election. He walks through the legislative groundwork, from the Building Canada Act to a fast-tracked pipeline of named projects, and explains why the clearest near-term opportunities potentially sit in the middle of the value chain rather than with the eventual asset owners. Above all, he frames Build Canada as a long-horizon shift, one where the discipline is separating the projects that break ground from those that stay on the press release. Key Takeaways What the Build Canada theme really means, beyond physical infrastructure to Canada's untapped resources and human capital. The legislative changes since the election: the Building Canada Act, faster approvals, and the new Major Projects Office. The project pipeline taking shape, from LNG Canada's Kitimat expansion to Ontario Power Generation's small modular reactors. Why the near-term beneficiaries are in the middle of the value chain, not the eventual asset owners. How the portfolio is positioned: Bird Construction, Dexterra Group, and Black Diamond. The key risks: projects that stall, and cost and schedule overruns, and how the team manages them. Companies Mentioned: Bird Construction, Dexterra Group, Black Diamond Group, Aecon, Dow Host: Kevin Minas, CFA, CAIA, Mawer Institutional Portfolio Manager Guest: Dominic Drzazga, CFA, Mawer Equity Analyst   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/  https://www.instagram.com/mawerinvestmentmanagement/

Canadian equities gained in the second quarter of 2026 even as the economy tripped the technical definition of a recession and an oil shock sent crude toward $120 before it fell back. Institutional portfolio manager Kevin Minas and investment counsellor Stu Morrow review the quarter, from the gap between the Canadian market and the Canadian economy to the case for holding commodity exposure as geopolitical risk becomes a recurring feature rather than a one-off. They also discuss what a narrow, AI-led rally means for a diversified portfolio, record hyperscaler bond issuance in Canada, and how the Bank of Canada and the Fed held rates through a volatile stretch. The conversation closes on the quarter's asset allocation: trimming equities back toward a neutral mix. Key Takeaways Canada met the technical definition of a recession, but the picture underneath was nuanced. GDP rebounded about 0.5% in April with most industries expanding, and per-capita output grew, closer to a stall-speed economy than a true contraction. The market and the economy can tell different stories. Financials and energy dominate the TSX while real estate and healthcare drive more of the real economy, which helps explain a roughly 7% TSX return alongside soft growth. Geopolitical risk increasingly looks like a recurring condition rather than a rare tail event. With oil spiking near $120 before falling back toward $70, the episode makes the case that commodity exposure can play a portfolio-construction role, chosen selectively where valuation and business quality support it, rather than serving as a call on prices. The Fed stood pat under new chair Kevin Warsh, and the Bank of Canada held across its April and June meetings after cutting substantially. In Canadian bonds, the team added duration as yields rose on inflation fears and removed it as they fell. On AI, the aim is not to guess whether the buildout keeps running, but to choose which risk to live with: too much concentration in the theme on one side, or falling behind by stepping away from it on the other. The team keeps the portfolio from leaning too far in either direction by weighing the companies spending on the buildout against the hyperscalers earning from it, since one company's capital spending is another's revenue. With memory stocks, the risk lies less in the multiple paid than in the cyclicality of the earnings. Credit was constructive, with record hyperscaler issuance in Canada including a $14 billion Amazon deal that Mawer participated in. With spreads tight, positioning stayed higher-quality and shorter-dated, and the balanced strategy trimmed equities back toward a neutral asset mix. Companies Mentioned: Amazon, Alphabet (Google), Meta, Microsoft, Oracle Host: Kevin Minas, CFA, CAIA, Mawer Institutional Portfolio Manager Guest: Stu Morrow, CFA, Mawer Investment Counsellor   This episode is available for download anywhere you get your podcasts.   Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.    Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/ #ArtOfBoring #MawerInvestmentManagement #MawerInvestment #Podcasts

Investment teams increasingly build and rely on their own AI tools, but the payoff depends on how deliberately a team reinvests the time that AI frees up. Emerging markets portfolio manager Wen Quan Cheong walks through how his team puts believability-weighted decision making into daily practice, and where AI has genuinely enhanced the process. He closes with a tour of the emerging-market themes he is watching most closely, from reshoring and clean-room capacity to physical AI, low-earth-orbit satellites, and businesses winning simply by putting the customer first. Above all, he returns to the idea that AI's real value lies in what a team chooses to do with the time it saves. Key Takeaways The team practices believability-weighted decision making: deferring more to teammates with deeper expertise on a given name, while still doing enough independent work to spot blind spots. One of AI's biggest productivity gain so far for the team has been in forensic analysis, running deeper, more consistent checks across longer time periods than a human could alone, freeing up time for higher-value work like idea generation and company research. That saved time is meant to be reinvested, not banked: attending more conferences, joining more management calls, and turning insight generation itself into a discipline, described as "learning compression." On reshoring, the team sees opportunity less in the household names and more in the infrastructure behind the shift: industrial park developers, port operators, and specialized clean-room engineering firms like Acter Group and CTP. Beyond AI and reshoring, the team explores other areas such as physical AI and low-earth-orbit satellites, as well as EM businesses, such as NU Holdings, Bajaj Finance, and HDFC Bank, that win by being more customer-obsessed than entrenched incumbents.   Host: Rob Campbell, CFA Institutional Portfolio Manager Guest: Wen Quan Cheong, CFA Emerging Markets Portfolio Manager   This episode is available for download anywhere you get your podcasts. Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.  Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/

AI portfolio construction in global equity markets (memory semiconductors, mega IPOs, and how to manage concentration risk) is the focus of this conversation with Mawer's global equity portfolio manager Paul Moroz. Drawing on Homer's Odyssey, he explains the discipline the team applies when navigating themes that are moving quickly: from trimming SK Hynix systematically as the position grew, to sizing up what a wave of large IPOs means for cost of capital, to the central trade-off between underexposure and overconcentration in the AI complex. He also puts numbers around the portfolio's AI positioning and explains how hyperscaler holdings act as a natural offset. The episode closes on humility as a process requirement, reflected in the portfolio's expansion to nearly 90 names with smaller, more incremental position sizing. Key Takeaways Memory semiconductors, including SK Hynix, illustrate the discipline required around fast-moving themes. The team has sold back nearly as much as it invested in SK Hynix while the position has grown to over 5% of the portfolio — a deliberate trimming driven by ongoing valuation modeling, not a change in the thesis. The risk is not the price-to-earnings multiple; it is the cyclicality of earnings, and the question of how long the current upcycle runs. Odysseus' response to the Sirens when he ties himself to the mast and has his crew row with beeswax in their ears is a useful analogy for process. Decisions made in advance of the moment of seduction, grounded in a systematic valuation framework, are more reliable than decisions made in the heat of a rapid move. Large IPOs entering markets signal a more capital-intensive economic period and raise real questions about where the capital comes from. Companies already in the S&P 500 benefit from a structural cost-of-capital advantage over those outside it, and the team watches for what needs to be sold as large new issuers absorb liquidity. A period of multiple compression, while uncomfortable for near-term statements, improves long-term reinvestment returns. The Scylla-versus-Charybdis choice (the monster on one side, the whirlpool on the other) maps directly onto the AI portfolio construction problem. The team's AI hardware exposure sits at approximately 22.7% of the portfolio; a 50% drawdown in that sleeve would represent roughly an 11-12% hit to the overall portfolio. An offsetting 15.5% is held in hyperscalers (Meta, Microsoft, Amazon) whose capital expenditure is the revenue of the hardware side, producing a natural hedge that brings net directional AI exposure to around 7-8%. The team's response to the Cyclops story (Odysseus boasting after his victory, which brought years of suffering from Poseidon) is portfolio humility expressed through construction. The global equity portfolio now holds just under 90 names, with positions sized smaller and traded in smaller increments to reduce the cost of being wrong and to manage in a high-volatility environment. Some holdings that look nothing like AI businesses have begun moving with AI sentiment. The team treats these correlation shifts as arbitrage opportunities: when something is priced as an AI stock but carries different underlying risk, there may be a better entry or exit available elsewhere in the complex. 0:00 - Introduction: Homer's Odyssey and the AI Trade 1:39 - The Sirens: Memory Stocks, SK Hynix, and Valuation Discipline 7:54 - Managing a Position That Has Grown Beyond Its Cost Base 10:30 - Mega IPOs, Cost of Capital, and Index Inclusion Advantage 15:49 - Scylla vs. Charybdis: Choosing Your Risk in AI 17:58 - AI Portfolio Construction: Numbers, Offsets, and Net Exposure 23:11 - Correlation Creep: When Non-AI Stocks Start Acting Like AI 24:42 - The Cyclops Story: Humility, Diversification, and Process 26:53 - Closing: Managing Money Across Generations 27:15 - Outro and Subscribe Host: Rob Campbell, CFA, Institutional Portfolio Manager Guest: Paul Moroz, CFA, Global Equity Portfolio Manager This episode is available for download anywhere you get your podcasts. Founded in 1974, Mawer Investment Management Ltd. (pronounced "more") is a privately owned independent investment firm managing assets for institutional and individual investors. Mawer employs over 250 people in Canada, U.S., and Singapore.  Visit us at: https://www.youtube.com/@MawerInvestment https://www.mawer.com https://www.linkedin.com/company/mawer-investment-management/ https://www.instagram.com/mawerinvestmentmanagement/