The Crash That Won’t Come | Redfin Chief Economist Daryl Fairweather on the Great Housing Reset

In this episode of Excess Returns, we sit down with Jan van Eck, CEO of VanEck, to discuss how long-term macro forces are shaping markets and investment opportunities. Jan shares how his firm thinks about government spending, monetary policy, and technology, why he believes investors have more visibility than they realize heading into 2026, and how trends like artificial intelligence, gold, and global asset allocation could redefine portfolios over the next decade and beyond.Topics covered in this episode includeHow VanEck uses fiscal policy, monetary policy, and technology as core macro pillarsWhy declining fiscal deficits may reduce long-term stress on marketsThe case for a less interventionist Federal Reserve and what it means for investorsWhy thinking in decades, not quarters, can lead to higher conviction investingArtificial intelligence as a transformative economic force and its impact on semiconductors, energy, and productivityThe AI capex buildout, compute shortages, and lessons from past infrastructure boomsGold’s resurgence as a global store of value in a multipolar worldThe difference between owning physical gold and gold mining stocksRisks and opportunities in private credit and business development companiesWhy illiquid assets may not belong in daily liquidity vehicles like ETFsIndia’s long-term growth potential and implications for global portfoliosHow family ownership influences VanEck’s long-term investment approachBehavioral mistakes investors make and why long-term charts matterLessons Jan would teach the average investor based on decades of market experienceTimestamps00:00 Introduction and VanEck’s macro framework02:25 Translating macro views into product development04:34 2026 outlook and why visibility may mean risk on06:00 Fiscal deficits, interest rates, and market stress07:00 The future of Federal Reserve intervention10:48 Long-term investing versus short-term predictions14:00 India, global growth, and asset allocation19:00 Artificial intelligence, compute demand, and semiconductors24:00 AI, jobs, and economic impact29:00 AI capex, market concentration, and historical analogies38:31 Private credit risks and liquidity considerations40:35 Illiquid assets and ETFs42:56 Gold, global currencies, and long-term trends47:26 Gold miners versus physical gold52:14 Contrarian opportunities and underloved markets52:47 Advantages of a family-owned investment firm56:06 Tokenization, blockchain, and market structure59:45 Investor psychology and long-term charts01:02:05 Lessons for the average investor

In this episode of Excess Returns, Redfin Chief Economist Daryl Fairweather joins Matt Zeigler to unpack what she calls the Great Housing Reset. Rather than a housing crash or correction, Fairweather argues the market is entering a multi year transition toward something more normal, where incomes gradually catch up to home prices and affordability improves at the margin. The conversation covers mortgage rates, supply constraints, regional housing dynamics, climate risk, policy tradeoffs, and how AI is reshaping real estate decisions for buyers, renters, and investors.Topics covered in this episode• Why the current housing market is a reset, not a crash or correction• How income growth outpacing home price growth could slowly improve affordability• Mortgage rate dynamics and why rates may stay near the low 6 percent range• The mortgage rate lock in effect and why inventory may take years to normalize• Regional housing trends including the Midwest, Northeast, Sunbelt, and tech hubs• The role of wages, rents, and affordability for Gen Z and first time homebuyers• Investor activity, rental markets, and the outlook for housing as an investment• Immigration, foreign buyers, and local market distortions• Multi generational living, ADUs, and creative housing solutions• Housing policy ideas that actually address supply constraints• Why demand side policies like 50 year mortgages miss the real problem• Climate risk, insurance costs, and total cost of home ownership• How AI and conversational search are changing the home buying process• The future of MLS consolidation and real estate market structure• Practical guidance for renters, buyers, and homeowners looking ahead to 2026Timestamps00:00 Introduction and the Great Housing Reset02:00 What a housing reset really means03:30 Income growth versus home price growth05:20 Mortgage rates and the outlook for borrowing costs08:40 Fed policy, bond markets, and mortgage rates10:40 Inventory shortages and the lock in effect12:30 Regional housing market winners and losers16:00 Affordability challenges for younger buyers19:00 Rental markets and investor dynamics21:20 Multi generational living and ADUs25:00 Housing policy and supply constraints29:30 Why 50 year mortgages do not solve affordability33:00 Geographic housing outlook by life stage39:30 Climate risk, insurance, and housing costs47:00 Energy efficiency and dense housing50:20 AI, real estate search, and market structure54:30 What to watch in the housing market through 202659:30 Book discussion and where to follow Daryl Fairweather

In this episode of Excess Returns, Rupert Mitchell returns to break down a rapidly shifting global macro landscape and explain how he is positioning across regions, assets, and market regimes. The conversation spans emerging markets, commodities, China, Latin America, US market leadership, and the risks building beneath familiar narratives. Rupert walks through the charts, frameworks, and portfolio construction decisions that underpin his current outlook, with a focus on duration, cash flows, and real assets in a changing cycle.Topics covered include:Why US equity leadership is showing signs of fatigue after a decade-plus runThe case for emerging markets as a multi-year relative tradeLatin America as a commodity-driven opportunity rather than a political betBrazil, Mexico, and Peru through the lens of fiscal policy and real assetsWhy India stands out as expensive within emerging marketsChina’s equity market inflection and the role of domestic savings and fiscal supportThe difference between onshore A-shares and offshore Chinese equitiesWhy Rupert prefers lower-beta, dividend-oriented exposure in ChinaHow AI is being deployed differently in China versus the USThe risks facing enterprise software and long-duration growth assetsPortfolio construction, benchmarking, and managing drawdowns across cyclesHow Rupert thinks about hedging, trend following, and capital preservationTimestamps:00:00 Macro market backdrop and early warning signals01:00 Venezuela, oil, and why context matters more than headlines04:40 The chart of truth and US versus international equities07:00 Emerging markets relative performance and historical parallels10:00 Duration risk, valuation, and the shift toward real assets14:30 Mag 7 leadership, software weakness, and AI disruption18:00 India valuations and the role of flows and derivatives20:40 Latin America beyond politics: commodities and fiscal drivers26:00 Brazil, Mexico, and country-level positioning29:50 Benchmarking and why Latin America is a major overweight32:10 China’s equity inflection and the ABC framework36:00 Fiscal policy, buybacks, and domestic savings in China41:00 Tencent versus Alibaba and managing drawdowns44:30 AI capex discipline in China versus the US46:00 Stock selection in China and second-derivative opportunities51:00 Portfolio construction, benchmarks, and risk management58:00 Blind Squirrel Macro, live shows, and ongoing research

In this episode of Excess Returns, we sit down with Gary Mishuris, Managing Partner and CIO of Silver Ring Value Partners, to explore how deep fundamental analysis, behavioral insight, and disciplined process come together in real-world investing. Gary shares formative lessons from his early career at Fidelity during the post-tech bubble period, including firsthand experiences learning from legends like Peter Lynch, and connects those lessons to how he evaluates value, quality, and mispricing today. The conversation spans a detailed case study on Warner Bros. Discovery, portfolio construction under uncertainty, selective use of options, and how artificial intelligence is reshaping the research process for long-term investors.Topics covered in this episode• Lessons from Peter Lynch and Fidelity on why “just cheap” does not work• The Silver Ring origin story and how early life experiences shaped a value investing mindset• Warner Bros. Discovery as a good business plus bad business mispricing case study• How hated stocks, spin-offs, and catalysts can unlock hidden value• Conviction, position sizing, and staying rational when the market disagrees• When and why options can be used in a value investing framework• Auctions, ego, and why prices can overshoot intrinsic value• The role of mental models like reflexivity, activation energy, and lollapalooza effects• How AI fits into an investment research process without replacing judgment• What average investors should understand about incentives and simplicityTimestamps00:00 Introduction and why “just cheap” does not work02:20 Early career at Fidelity and lessons from Peter Lynch07:40 The Silver Ring story and learning what real value means12:00 Warner Bros. Discovery and the good company bad company problem18:30 Conviction, mispricing, and maintaining discipline in hated stocks26:40 Using options selectively and managing portfolio-level risk34:10 Auctions, ego, and when price can detach from intrinsic value44:30 Entertainment, media disruption, and evergreen demand for content49:50 How AI is changing equity research and idea generation55:40 What AI can see that humans often miss01:00:30 One lesson for the average investor

In this episode of Excess Returns, we sit down with Mike Green of Simplify Asset Management for a deep dive into how passive investing has reshaped market structure, altered price discovery, and created new sources of systemic risk beneath the surface of today’s equity markets. Mike explains why index funds are not as passive as most investors believe, how daily flows drive prices in increasingly inelastic markets, and why the growth of passive strategies may be pushing markets toward an unstable endpoint. The conversation also explores macro implications, AI-driven capital spending, demographic shifts, and what all of this means for investors navigating the years ahead.Topics coveredHow passive investing and ETF flows actively influence market pricesThe inelastic market hypothesis and why markets absorb flows differently than investors expectWhy index funds no longer fit the classic definition of passive investingThe growing share of passive ownership and what happens as it continues to risePotential market instability and the theoretical limits of passive dominanceHow demographics, retirement flows, and 401k defaults affect market structureCritiques of arguments downplaying the impact of passive investingWhy large-cap concentration keeps increasing despite slowing fundamentalsImplications for active management, stock selection, and liquidityThe role of AI, capital expenditures, and energy constraints in the macro outlookWhat rising electricity demand and infrastructure investment mean for the economyHousing market distortions, demographics, and long-term structural challengesTimestamps00:00 Introduction and why passive investing is not truly passive03:00 The inelastic market hypothesis explained06:00 Daily flows, index funds, and price impact08:20 How much of the market is now passive11:40 What happens if passive investing keeps growing14:20 Retirement flows and demographic effects on markets19:00 Responding to critiques of passive market impact23:00 Liquidity, concentration, and large-cap dominance27:00 Why market cap does not equal liquidity33:00 Active management under pressure38:00 Current market conditions and early-year rotations41:50 Economic growth, GDP, and underlying volatility43:30 AI capex, overinvestment, and market incentives47:00 Energy, electricity demand, and long-term constraints52:40 Housing, demographics, and policy challenges

This episode of Excess Returns features Gene Munster and Doug Clinton breaking down their 2026 technology and market predictions, with a deep focus on artificial intelligence, big tech, and where investors may be misreading the current cycle. The conversation explores how far along the AI bull market really is, what fundamentals still support it, and where the biggest opportunities and risks may emerge over the next several years. Munster and Clinton discuss market structure, capital spending, valuation, and technological inflection points across AI, software, hardware, and autonomous driving, offering a grounded but forward-looking framework for long-term investors.Main topics coveredWhy the AI bull market may still have multiple years left and how fundamentals support current valuationsNasdaq return expectations through 2026 and what earnings and multiples imply for investorsThe case for small-cap and non–Mag Seven tech outperforming as the AI cycle maturesHyperscaler AI capital spending and why CapEx growth could exceed current expectationsWhether AI pricing pressure leads to commoditization or expanding long-term value creationHow AI is changing the economics of infrastructure, platforms, and asset-heavy tech businessesApple’s AI strategy, the future of Siri, and why expectations matter for valuationAlphabet, Amazon, and the evolving AI competition among the largest technology companiesEnergy constraints, data centers, nuclear power, and the infrastructure needed to support AI growthTesla, Waymo, and the realistic timeline for autonomous driving and robotaxi adoptionHow physical AI, autonomy, and robotics could reshape transportation and consumer behaviorTimestamps00:00 AI cycle outlook and why the bull market may still be early05:00 Nasdaq return expectations and earnings fundamentals10:30 Small-cap tech versus Mag Seven performance17:15 Hyperscaler AI CapEx and Nvidia’s signals24:00 Infrastructure, pricing power, and AI commoditization debates32:30 Apple, Siri, and consumer AI assistants38:50 Alphabet, Amazon, and AI competition among mega-cap tech45:00 Energy, data centers, and nuclear power considerations48:10 Tesla, autonomy, and robotaxi timelines54:15 Waymo, market share, and the future of transportation

In this episode of Excess Returns, Professor Aswath Damodaran joins Matt Zeigler and Kai Wu for a wide-ranging conversation on valuation, portfolio construction, and how investors should think about risk, discipline, and opportunity in a market shaped by AI, market concentration, and rising uncertainty. Damodaran walks through how he builds and manages his own portfolio, why price matters more than story or quality, and how AI-driven capital spending could reshape margins and returns across the economy. The discussion blends practical investing frameworks with big-picture market insights, offering a clear look at how a valuation-driven investor navigates today’s environment.Main topics covered• How Aswath Damodaran builds a stock portfolio, including diversification, position sizing, and turnover• Why investing is about buying at the right price, not buying great companies• Using valuation frameworks to invest in young, unprofitable, and fast-growing companies• How stories and narratives fit into valuation without replacing financial discipline• Watchlists, patience, and waiting for price rather than chasing popular stocks• Sell discipline, overvaluation triggers, and avoiding emotional attachment to winners• Using probability distributions and simulations instead of single-point estimates• How company lifecycles affect growth, margins, and capital allocation decisions• Why many companies struggle as they age and how management quality shows up late in the lifecycle• AI as a capital cycle and why massive AI investment may lower margins overall• Why AI is likely to create a bubble, even if it delivers long-term economic value• Winners and losers in the AI value chain, from infrastructure to applications• Risks from AI infrastructure spending, debt, and cross-ownership structures• Why private markets may not deliver better outcomes for individual investors• How Damodaran thinks about cash, diversification, and assets uncorrelated with equities• Reentering markets after selling and avoiding the trap of staying in cash too long• Time horizon, legacy investing, and managing wealth across generationsTimestamps00:00 Investing is about price, valuation, and early thoughts on AI and market risk01:54 Personal investing philosophy and why portfolios must be investor-specific03:00 Diversification, number of holdings, and managing downside risk05:00 Valuation frameworks and buying companies at the right price06:00 Stories versus numbers and avoiding the circle of competence trap08:20 Political risk and why some sectors are hard to value08:47 Watchlists, patience, and waiting for price to meet value11:43 When and why to sell stocks as a value investor12:00 Using probability distributions and simulations in valuation15:48 Sell discipline, fund flows, and separating skill from luck18:00 Company lifecycles, aging businesses, and management discipline23:18 Apple, Meta, and contrasting approaches to AI investment24:08 AI bubbles, winner-take-all dynamics, and capital cycles27:48 Infrastructure investing, debt risk, and societal spillovers32:20 Cross-ownership risks and AI ecosystem fragility35:00 AI’s impact on profit margins and competition39:41 Where AI value may accrue over time44:38 AI tools, valuation bots, and the rise of investment scams49:17 Private markets, alternatives, and cost structures53:05 Cash, collectibles, and diversification beyond equities56:33 Reentering markets after selling and avoiding market timing traps58:35 Time horizon, legacy investing, and generational wealth

In this episode of Excess Returns, we welcome back Liz Ann Sonders to discuss the evolving market and economic landscape heading into 2026. The conversation focuses on why this cycle feels fundamentally different, how instability rather than uncertainty is shaping investor behavior, and what that means for inflation, the labor market, Federal Reserve policy, and equity markets. Liz Ann breaks down the growing bifurcation across the economy and markets, the shift away from the Great Moderation era, and how investors should think about diversification, earnings, valuations, and AI-driven capital spending in a more volatile and fragmented environment.Main topics covered• Why today’s environment is better described as unstable rather than uncertain• The K-shaped economy and growing bifurcation across consumers, sectors, and markets• Inflation dynamics and why 2 percent may now be a floor rather than a ceiling• How deglobalization, supply chains, and tariffs are changing the inflation regime• The shifting relationship between stocks and bonds• Hard data versus soft data and what sentiment is really telling us• The labor market’s headwinds and tailwinds, including immigration and hiring trends• AI’s impact on productivity, jobs, and capital spending• The AI capex boom and how it differs from the late 1990s tech cycle• Earnings growth, valuation compression, and market broadening• Rolling recessions versus traditional economic downturns• Federal Reserve challenges under a conflicted dual mandate• Why factor-based investing matters more than sector or style callsTimestamps00:00 Introduction and why this cycle feels different02:00 Uncertainty versus instability in markets03:30 The K-shaped economy and market bifurcation07:00 Market broadening, small caps, and diversification09:00 Inflation measurement challenges and data reliability12:00 Why inflation may stay above 2 percent15:00 Stock and bond correlations across cycles17:30 Labor market crosscurrents and immigration effects20:45 AI, productivity, and entry-level job pressures24:30 Sentiment versus fundamentals in markets27:30 Retail trading, behavior, and market psychology31:00 Rolling recessions and post-pandemic distortions38:00 Technology, cyclicality, and sector rotation40:30 The Fed’s policy dilemma and internal disagreements45:00 AI capital spending and comparisons to the dot-com era51:00 Earnings growth versus valuation expansion55:00 Factors, GARP, and portfolio positioning for 2026

This episode of Excess Returns features a wide ranging conversation with Grant Williams on what he calls the hundred year pivot. Grant explains why today’s environment feels fundamentally different from the last several decades, why long held investing assumptions may no longer apply, and how declining trust in institutions, money, and markets is reshaping the global financial system. Drawing on history, macroeconomics, and decades of market experience, the discussion explores what this transition means for investors trying to navigate a world defined by uncertainty, volatility, and structural change.Main topics covered• What the hundred year pivot means and why it represents a once in a generation shift• The Fourth Turning framework and how it connects financial crises, politics, and social change• Why buy the dip worked for decades and why it may fail in the years ahead• The erosion of trust in institutions and its impact on markets and money• The financial crisis, sanctions, and the freezing of sovereign assets as turning points• The role of the dollar, gold, and central banks in a changing monetary system• Lessons from history including Bretton Woods and the Suez crisis• Why commodities and real assets matter in a world of deglobalization and reshoring• How artificial intelligence fits into the current investment cycle and capital allocation boom• Portfolio construction and behavioral challenges in a higher volatility environmentTimestamps00:00 The hundred year pivot and why this cycle is different01:30 Defining the Fourth Turning and historical cycles07:40 The financial crisis as the start of institutional breakdown11:00 Sanctions, sovereign assets, and the end of unquestioned trust in the dollar18:20 Historical parallels from Bretton Woods and the Suez crisis24:50 What could trigger a broader monetary reset28:50 Energy, geopolitics, and shifting global alliances35:00 Commodities, real assets, and rebuilding supply chains42:40 Artificial intelligence, capital cycles, and uncertainty52:30 Portfolio construction, behavior, and risk tolerance59:50 Where to follow Grant Williams and his work

In this episode of Excess Returns, we dive deep into one of the most pressing investing debates today: how to think about valuations, profit margins, and artificial intelligence in a market that feels both expensive and transformative. Sam Ro joins Matt Zeigler and Kai Wu for a wide-ranging conversation that explores whether traditional valuation tools still matter, how AI is reshaping corporate economics, and why history suggests investors should be cautious about bubble narratives even when enthusiasm runs high. From profit margins and capital intensity to the future of the Magnificent Seven, this episode focuses on how long-term investors can frame uncertainty without relying on false precision or short-term market calls.Timestamps00:00 Valuations, bubbles, and why timing markets is so hard01:41 Do valuations still matter for investors05:58 S&P 500 valuation levels versus history09:30 Profit margins and why mean reversion has not shown up yet14:39 Household finances, pricing power, and consumer resilience15:47 AI, productivity, and the limits of forecasting economic impact19:15 Valuations adjusted for structurally higher profit margins21:15 Tech multiples, growth expectations, and PEG ratios24:07 Are we in an AI bubble and why that question may not help29:14 Lessons from past bubbles and irrational exuberance30:14 How transformative AI could be compared to past innovations35:20 Massive AI capital spending and the risk of overbuild39:42 Who captures value in AI: builders versus users46:39 Revenue per worker and productivity trends48:00 Dispersion inside the Magnificent Seven51:34 Big tech shifting from asset-light to asset-heavy models59:53 Turnover among top companies over time01:01:10 Why Wall Street price targets miss the point01:04:30 Presidential cycles and market returns01:06:28 Fund manager surveys and why popular risks are often lagging indicatorsTopics coveredHow investors should think about valuations over long time horizonsWhy elevated profit margins may be more structural than cyclicalThe role of AI in productivity, earnings, and competitive dynamicsBubble psychology and lessons from the dot-com eraCapital intensity, overinvestment, and the risk of write-downsWhy AI infrastructure builders may not capture most of the valueWhat dispersion within the Magnificent Seven signals for marketsWhy broad diversification still matters in a rapidly changing market