Excess Returns

David Giroux, CIO of T. Rowe Price and manager of the Capital Appreciation strategy, joins Excess Returns for a wide ranging discussion on market valuation, AI investing, Mag 6 dynamics, utilities, healthcare, fixed income, and how to think independently in volatile markets. David shares his framework for exploiting structural market inefficiencies, why market drawdowns can create opportunity, how he evaluates the S&P 500 at the micro level, and what investors are getting wrong about AI, profit margins, and the current cycle.Main topics covered in this episode• Exploiting structural market inefficiencies in GARP stocks, high yield, and double B credit• Why market drawdowns often lower forward risk and increase expected returns• Strategic equity allocation during periods of fear and volatility• Rethinking S&P 500 valuation through 500 company bottom up analysis• The changing composition of the index and its impact on profit margins• Where the most overvalued and undervalued areas of the market may be today• AI investing framework including Nvidia, AMD, cloud providers, and software risk• How AI could reshape margins, labor productivity, and enterprise software• Differences between today and the dotcom bubble• Overweight positioning in utilities and healthcare and the thesis behind each• Fixed income positioning including the belly of the Treasury curve and fiscal risk• Commodities, gold, and fiscal sustainability• Lessons for portfolio managers on independent thinking and making high conviction betsTimestamps00:00 Market drawdowns and forward returns02:09 Exploiting structural market inefficiencies06:28 Strategic equity allocation during selloffs11:22 Is the market expensive and how to value the S&P 50015:00 Profit margins and index composition17:13 Where valuation excess exists outside the Mag 620:38 How to think about AI and enterprise adoption27:18 AI disruption risk across sectors39:20 AI versus the dotcom bubble42:30 Apple versus Meta and capital allocation46:53 Overweight utilities and healthcare52:57 Fixed income opportunities and risks57:32 Commodities, gold, and fiscal concerns01:00:15 Lessons for new portfolio managers

In this episode of Excess Returns, we sit down with Kevin Muir, author of The Macro Tourist, for a wide-ranging conversation on market sentiment, asset rotation, and the growing signals of stress beneath the surface of global markets. Kevin explains why extreme bullishness can be dangerous, why gold and commodities may be flashing warning signs, and how shifts in currencies, energy, and global capital flows could reshape portfolios in the years ahead. From hedging strategies to volatility, from AI-driven concentration to international diversification, this discussion focuses on how investors can think clearly in an environment where traditional relationships are breaking down.Topics covered:Why extreme bullish sentiment can be a warning sign for marketsThe meaning of “buying straw hats in the winter” and how to think about hedgingMarket breadth, small caps, and whether rotations are healthy or late cycleGold, silver, and what precious metals signal about financial stressCross-asset volatility and why correlations are changingEnergy markets, commodities, and the long-term impact of underinvestmentGlobal capital flows, foreign ownership of US assets, and currency riskThe US dollar, trade deficits, and implications for international investorsPortfolio construction lessons from bonds, commodities, and FXHow macro regime shifts can change risk management and diversificationTimestamps:00:00 Introduction and market sentiment overview03:00 Buying protection and the straw hat analogy07:00 Sentiment indicators and market confirmation12:00 Market rotations, small caps, and late-cycle risks18:00 Gold, silver, and precious metals as warning signals23:00 Bonds, currencies, and broken correlations29:00 Energy markets and commodity underinvestment37:00 Global capital flows and foreign ownership of US assets44:00 The US dollar, trade deficits, and FX volatility52:00 Macro regime shifts and portfolio construction lessons

In this episode of Excess Returns, we sit down with Victoria Greene of G Squared Private Wealth for a wide-ranging conversation on markets, macro risk, portfolio construction, and how investors should think about 2026 and beyond. Victoria brings a pragmatic, risk-aware framework to investing, blending top-down macro analysis with bottom-up fundamentals, technicals, and a strong focus on cash flow, diversification, and policy risk. We cover everything from the rise of what she calls a badger market, to AI capex, market concentration, inflation risk, and why policy error, not valuation, is what historically ends bull markets.Main topics covered• Why valuation is a poor market timing tool and what actually ends bull markets• The concept of a badger market and how investors should mentally prepare for volatility• Cash flow never lies and how Victoria evaluates business quality• Diversification in 2026 and why international, commodities, and value matter more now• Risks and opportunities in the labor market, AI-driven disruption, and productivity• The K-shaped economy and what it means for consumers and corporate earnings• 60/40 portfolios, alternatives, and where commodities fit today• AI investing from infrastructure to software and cybersecurity• Yield curve dynamics, inflation risk, and portfolio positioning• Active vs passive investing in a concentrated market• How policy decisions and election dynamics influence marketsTimestamps00:00 Intro and why valuation does not kill bull markets01:40 Investment philosophy and macro first portfolio construction06:00 Cash flow never lies explained07:40 Diversification beyond US large caps10:00 Market expectations and big tech earnings risk11:00 What is a badger market12:40 Is the 60 40 portfolio dead15:00 Why Victoria remains constructive on markets18:00 Politics, sentiment, and market noise21:00 Policy error vs valuation as the real risk26:40 The K-shaped economy and consumer health31:10 Hard data vs soft data disconnect34:10 Labor market risks and data reliability36:40 Yield curve steepening and inflation risk41:40 Portfolio positioning in a higher inflation world43:00 How to invest in AI beyond the Mag 747:20 Where we are in the AI cycle49:30 Active management challenges and opportunities53:00 Valuation, planning, and long-term return expectations

Follow Last Call on SpotifyFollow Last Call on Apple PodcastsJoin Jack Forehand and Matt Zeigler for the premiere episode of Last Call, a new monthly market wrap show where we go beyond the headlines to deliver actionable investment insights — and have a little fun along the way.Instead of focusing on index performance or short-term moves, we step back and connect the dots between macro instability, narrative shifts, options market signals, private credit risk, AI capital spending, and the changing nature of the Magnificent Seven.Featuring conversations with Brent Kochuba from SpotGamma, Ben Hunt from Perscient, Kai Wu from Sparkline Capital, and clips from our recent interviews with Liz Ann Sonders and Aswath Damodaran, the episode blends market structure, behavioral finance, valuation discipline, and long-term investing context to help investors understand what is really driving today’s market environment — and how to think about it going forward.Main Topics:• Why this is not a traditional market recap and how Last Call is designed to be more useful for investors• Instability versus uncertainty — and why today’s market feels different• Loss of trust in institutions, policy, and global systems and its impact on markets• What options market flows reveal about hidden market risks and sudden volatility• How private credit has reached bubble-like conditions and why narrative risk matters• The debate over retail and retirement account exposure to private credit• Why valuation discipline looks different when correlations rise across asset classes• Aswath Damodaran on trimming positions, raising cash, and the difficulty of finding uncorrelated assets• How the Magnificent Seven are changing from asset-light to asset-heavy businesses• AI capital expenditure, historical spending booms, and why infrastructure builders often underperform• Whether this AI cycle is truly different from railroads, telecom, and past technology boomsTimestamps00:00 — Intro and opening clips01:10 — What Last Call is and why this format exists04:30 — Instability versus uncertainty in today’s market09:58 — Loss of trust, gold, and historical parallels13:18 — Brent Kochuba on options flows and hidden market stress25:17 — How options dislocations explain sudden market drops25:40 — Ben Hunt on private credit narrative risk28:00 — Why private credit exposure is everywhere32:32 — Retail access versus restrictions in private credit36:19 — What happens if the private credit bubble breaks39:28 — Aswath Damodaran on raising cash and trimming positions47:08 — The changing nature of the Magnificent Seven47:42 — Kai Wu on AI capex and asset-heavy tech50:48 — Why high capital spending often leads to underperformance56:01 — Historical parallels from railroads to the dot-com boom

In this episode of Excess Returns, we’re joined again by Dan Rasmussen of Verdad Advisors for a wide-ranging conversation that challenges some of the most popular narratives in markets today. From private equity and private credit risks to AI-driven capital cycles and overlooked opportunities in biotech and international equities, Dan offers a deeply research-driven perspective on where investors may be misallocating capital and where future returns could emerge. Alongside Justin and special guest co-host Kai Wu, the discussion connects valuation, incentives, and innovation in a market environment shaped by concentration, leverage, and technological change.Main topics covered• Why private equity performance continues to disappoint and where the biggest structural risks are emerging• The growing stress in private credit and what rising bankruptcies signal for lower middle-market deals• Why democratizing private equity through 401ks, interval funds, and ETFs may create more problems than solutions• How AI CapEx is changing the economics of Big Tech and why asset-light models may be getting worse, not better• The case for diversifying away from U.S. concentration toward international markets and international small value• Why bubbles are often necessary for innovation and how to think about AI through that historical lens• How investors may be underestimating valuation and growth bankruptcy risk in the Mag 7• Why biotech is one of the hardest sectors to model and how Verdad rebuilt its framework from scratch• How intangible value, clinical trial data, specialist ownership, and peer momentum can improve biotech investing• What capital starvation, M&A dynamics, and global competition mean for biotech’s future returnsTimestamps00:00 Introduction and market narratives02:20 Revisiting private equity risks and performance06:58 Private credit stress and bankruptcy signals10:58 Private equity in 401ks and interval fund risks14:52 Private assets in ETFs and liquidity concerns15:45 Why bubbles drive innovation and capital formation20:13 AI CapEx, Mag 7 concentration, and valuation risk25:24 International diversification and market leadership29:41 Why Verdad turned to biotech research37:13 Rebuilding biotech valuation and quality metrics44:26 Clinical trial data and peer momentum insights49:17 Portfolio construction and long-short biotech strategies51:00 Capital starvation, AI, and biotech’s setup53:58 Research culture, humility, and evolving quant models

In this episode of our new show The 100 Year Thinkers, Chris Mayer and Robert Hagstrom explore how the words investors use quietly shape the decisions they make — often in destructive ways. From labels like “cheap,” “expensive,” and “compounder” to debates about valuation, concentration, and AI, the conversation digs into how language collapses uncertainty into false certainty. Drawing on general semantics, mental models, and decades of investing experience, they explain why confusing maps for reality leads investors astray — and how clearer thinking can change how you see markets, risk, and long-term returns.Topics discussed include:Why paying 30x earnings can be rational when return on invested capital stays highHow the word “is” smuggles hidden assumptions into investment decisionsThe difference between a company being a compounder and having compounded in the pastWhy valuation debates are really disagreements about time horizonThe “map vs. territory” problem in financial statements and market dataMarket concentration, index construction, and why benchmarks can mislead investorsHow language shapes narratives around value, growth, and riskAI investing, capital allocation, and separating durable businesses from hypeWhy many binary true-or-false questions are traps for investorsHow long-term investors think in decades, not quarters

In this episode of Excess Returns, we sit down with TG Macro founder Tony Greer to explore why markets are increasingly signaling a loss of faith in institutions and what that means for investors heading into 2026. Tony lays out a framework that connects inflation, central bank credibility, political risk, global regime change, and shifting consumer behavior into a coherent macro narrative. From gold and precious metals to miners, commodities, cyclicals, and the evolving role of AI, this conversation bridges big-picture macro themes with actionable market insights for both traders and long-term investors.Topics covered:• Why gold is rallying as trust in institutions erodes• Central banks, inflation, and the long-term consequences of monetary policy• The shift from a 60-40 portfolio to alternatives and real assets• Precious metals versus technology leadership in a changing market regime• Gold miners, industrial miners, and uranium as core themes• Consumer inflation, food prices, and purchasing power on Main Street• Big Food, Big Pharma, and the broader trust breakdown• Legal, political, and geopolitical risks shaping investor behavior• The end of globalization and the rise of domestic supply chains• Copper, energy, and natural resources in an economic recovery• AI, semiconductors, and signs of a leadership transition• Prediction markets and new tools for understanding market expectations• Financials, airlines, and overlooked cyclical opportunities• How to think about risk management when macro regimes changeTimestamps:00:00 Introduction and the collapse of trust in institutions02:00 Why gold is responding to credibility loss, not fear05:00 Central banks, inflation, and monetary excess08:20 Purchasing power and real-world inflation pressures11:00 Big Food, Big Pharma, and consumer awareness14:00 Healthcare, fraud, and institutional breakdown16:30 Legal system risk and political credibility18:30 Global factors, sanctions, and the shift away from globalization21:00 Precious metals, miners, and natural resource leadership25:00 The three mining themes driving performance29:00 Stocks and gold rising together in a new regime32:00 Gold market structure and long-term trend analysis36:00 Japan, global bond markets, and gold demand39:00 Investing versus trading precious metals43:00 Copper, supply chains, and tech partnerships47:00 AI leadership, capital rotation, and market risk51:00 Financials, airlines, and cyclical signals57:30 What would break the thesis and risk management signals

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

In this episode of Excess Returns, Katie Stockton of Fairlead Strategies joins Matt Zeigler and Justin Carbonneau to walk through her technical outlook for markets as we head into 2026. The conversation focuses on trend analysis, momentum, volatility, and risk management across U.S. equities, sectors, international markets, and alternative assets. Rather than making predictions, Katie explains how she reacts to price, confirms signals, and uses a disciplined technical process to identify opportunities and manage downside risk in changing market environments.Main topics coveredMarket trend outlook for U.S. equities heading into 2026Why long-term trends remain constructive despite rising short-term risksHow to think about volatility, consolidation, and corrective phasesWhat loss of momentum in late 2025 signals for near-term positioningHow to use triangle formations, support, and resistance levelsUnderstanding DeMark indicators, MACD, and stochastic signalsLeadership shifts within large-cap technology and the Mag 7Growth versus value dynamics across market capsSmall caps, market breadth, and participation signalsSector rotation insights including technology, healthcare, financials, energy, utilities, and real estateHow sentiment indicators like fear and greed fit into a broader processGold, silver, and precious metals trends and volatilityBitcoin and crypto from a technical perspectiveThe U.S. dollar, yields, and global market implicationsInternational and emerging market opportunitiesHow the Fairlead Tactical Sector ETF is constructed and used in portfoliosWhere a tactical, risk-managed strategy can fit within asset allocationTimestamps00:00 Market setup and trend perspective for 202601:25 Long-term uptrend versus short-term risk04:16 Momentum loss and near-term caution06:00 Nasdaq 100 triangle and volatility setup07:45 Ichimoku clouds and trend confirmation11:01 Using consolidation and support levels13:05 Tech leadership and relative strength shifts18:30 Small caps, breadth, and market participation21:01 Growth versus value across market caps23:00 Market breadth and advance-decline signals24:13 Sentiment, fear and greed, and retests30:00 Breakouts, catalysts, and confirmation32:00 Sector rotation overview35:00 Energy, real estate, and rate-sensitive sectors39:10 Fairlead Tactical Sector ETF strategy45:00 International and emerging markets47:36 Gold, silver, and precious metals51:04 U.S. dollar and currency trends54:00 Bitcoin and crypto technical outlook57:12 Key indicators to watch going forward59:07 Long-term takeaways for investors

Subscribe to the Jim Paulsen Show on Apple Podcasts⁠⁠https://podcasts.apple.com/us/podcast/the-jim-paulsen-show/id1828054999⁠⁠Subscribe on Spotify⁠⁠https://open.spotify.com/show/3QaBDVGuBZ3cZfFZ4mqPFc⁠⁠In this episode of the Jim Paulsen Show, Jim Paulsen joins Jack Forehand and Justin Carbonneau to break down what the economy and markets may really be signaling beneath the headline numbers. Drawing from his recent outlook and long history studying market cycles, Jim explains why growth may be weaker than it appears, how policy lags are shaping the outlook, and why today’s market looks very different from past late-cycle environments. The conversation explores the divide between the “new era” economy and the rest of the market, what that means for investors in 2026, and where opportunities may be emerging as monetary and fiscal policy begin to shift.Topics covered in this episode• Why headline GDP growth may be overstating the true strength of the economy• How trade distortions are affecting recent GDP data• The concept of a “no-shaped economy” and the divide between new era and old era businesses• Labor market signals that suggest economic sluggishness beneath the surface• Why this may be one of the most disliked bull markets in history• The role of policy lags and why easing could matter more than investors expect• How market concentration has shaped returns over the last several years• Warning signs emerging within the technology sector• The relationship between corporate cash levels, R&D spending, and tech leadership• Why market breadth and old era sectors may become more important going forward• Thoughts on bonds, stocks, commodities, gold, and portfolio positioning• Why international and emerging markets could benefit from a weaker dollar• How investors might think about diversification in an unusual market cycleTimestamps00:00 Introduction and key themes from Jim’s outlook03:00 Why the economy may be weaker than GDP headlines suggest06:00 Labor market signals and recession-like dynamics12:00 Policy lags, the Fed, and why growth could soften further15:00 Market performance after multiple strong years18:00 The no-shaped economy and the split between new era and old era24:00 Strange market signals at all-time highs27:00 Valuations, sentiment, and why pessimism matters29:00 Fed easing expectations and consensus forecasts35:00 Warning signs for technology stocks42:00 Corporate cash, R&D spending, and tech leadership risks47:00 Portfolio construction and asset allocation thinking55:00 Final thoughts on opportunities and risks ahead

In this wide-ranging conversation, Gautam Baid joins Excess Returns to discuss the principles that shaped his investing philosophy, the lessons learned through bear markets, and why compounding, patience, and quality matter far more than forecasts or short-term performance. Drawing from his books The Joys of Compounding and The Making of a Value Investor, Baid shares a deeply reflective framework for long-term investing, portfolio construction, behavioral discipline, and global diversification, with insights spanning Indian and US markets, liquidity cycles, AI, and investor psychology.Main topics covered• The asymmetric power of compounding and why being wrong half the time can still lead to exceptional long-term returns• Why patience, temperament, and behavior matter more than analytical precision in investing• The role of journaling in improving decision-making and avoiding repeated behavioral mistakes• How investor sentiment reveals itself through IPO markets and portfolio quality late in bull cycles• Why long-term investing requires continuous monitoring rather than buy-and-forget complacency• Letting winners run, cutting losers, and understanding power-law outcomes in stock markets• Liquidity cycles and how they drive market returns in both India and the United States• How bear markets reshape investing philosophy toward resilience, quality, and diversification• When averaging down makes sense and when it is dangerous• The differences between Indian and US equity markets, valuations, and governance• Why home country bias can be a major risk for US-based investors• AI, productivity, profitability, and where future market winners may emerge beyond mega-cap tech• Why passion for investing matters more than money in sustaining long-term successTimestamps00:00 Introduction and the asymmetric nature of compounding01:00 Gautam Baid’s investing background and books03:00 The importance of journaling and learning through bear markets06:00 Investor sentiment, IPOs, and late-cycle market behavior10:20 Long-term investing versus complacency and monitoring risk14:15 Convex upside, concave downside, and letting winners run18:30 Liquidity cycles and lessons from Stan Druckenmiller22:45 Identifying market bottoms and the anatomy of bull and bear markets28:00 Averaging down, quality, and risk management30:30 How bear markets change investor psychology and strategy33:00 Patience, management quality, and long-term optionality36:15 Mr. Market, price signals, and market intelligence39:00 The Federal Reserve, inflation, and asset price dynamics44:00 Understanding the Indian equity market and valuation structure46:45 Why global diversification matters for US investors50:30 AI, margins, and the future of value investing53:00 Passion, purpose, and the psychology of long-term investing54:30 The single most note investors should learn