Excess Returns

In this episode, we sit down with Bob Elliott for a wide-ranging conversation about the late-cycle economic backdrop, the Fed’s dilemma, AI’s real economic impact, the cracks forming beneath the surface of private credit and private markets, and the growth of hedge-fund-style strategies inside ETFs. Bob walks through what he is seeing in the labor market, inflation, tariffs, and risk assets, and then breaks down how Unlimited is building replication-based ETF strategies to capture hedge fund returns at low cost.Topics covered:• The late-cycle economy and the disconnect between markets and weakening real-world data• Why labor markets look softer than headlines suggest• How tariffs are affecting inflation, growth, and consumer spending• The Fed’s policy bind and why reasonable cases exist for both cutting and holding• The slowdown in household income growth and the idea of a “slow-cession”• AI spending, productivity claims, and why the economic benefits are not yet showing up• The self-referential nature of Big Tech AI spending and poor return on AI CapEx• Why real-economy companies may not see meaningful profit uplift from AI• The private credit and private equity concerns Bob sees building• Hidden risks and information asymmetry in private-market products• New hedge-fund-style ETF strategies built using replication technology• Equity long-short, global macro, and managed futures as standalone ETF exposures• Why fee reduction is the most durable source of hedge-fund alpha• How advisors are shifting from 60/40 toward 50/30/20 allocations with alternativesTimestamps:00:00 Macro conditions and weakening labor market02:00 Disconnect between markets and the real economy04:00 Working without government data during the shutdown06:00 Inflation trends and tariff impacts10:00 Fed policy, cuts, and late-cycle dynamics12:30 Income-driven vs debt-driven cycles15:00 Slow-cession and household spending power18:30 Fed uncertainty and prediction challenges21:00 Why the Fed paused quantitative tightening25:00 Liquidity, reserves, and bank system mechanics28:00 Equity markets, expectations, and AI mania31:00 AI spending, productivity doubts, and return on investment37:00 Business models, layoffs, and macro implications40:00 Private credit, private equity, and hidden risks45:00 How some private-market ETFs may disadvantage retail investors47:00 New Unlimited ETF strategies and how replication works52:00 Equity long-short, macro, and managed futures inside an ETF55:00 Late-cycle benefits of tactical positioning57:00 Future strategies and expanding the replication lineup59:00 Fee advantages and democratizing hedge-fund-style returns

Subscribe on Spotify⁠https://open.spotify.com/show/5IsVVM27KWP6SUW6KN2ife⁠Subscribe on Apple Podcasts⁠https://podcasts.apple.com/us/podcast/the-100-year-thinkers-long-term-compounding-in-a-short-term-world/id1845466003⁠Subscribe on YouTube⁠https://youtube.com/@excessreturnsIn this episode of The 100 Year Thinkers, Chris Mayer, Robert Hagstrom, Bogumil Baranowski, and Matt Zeigler dive deep into what truly makes a great business and how long-term investors can develop the conviction to hold through volatility, dead-money periods, and inevitable mistakes. They break down the characteristics of the perfect business, the behavioral challenges of long-term investing, the pain of errors of omission, how to evaluate management, and why returns on capital and cash generation matter so much over decades.

Bill Bengen, the creator of the 4% rule, joins us to revisit one of the most important ideas in financial planning and retirement research. In this conversation, he explains the origins of the 4% rule, how his thinking has evolved over 30 years, and why he now believes retirees can safely withdraw closer to 4.7% — or even more — under certain conditions. We explore the data behind his findings, how to think about inflation, valuations, longevity, and sequence of returns risk, and the philosophy of living well in retirement.Topics covered:The origins and evolution of the 4% ruleHow Bill discovered the worst-case retirement scenario (1968)The role of inflation and market valuations in withdrawal ratesWhy he now recommends 65% equities instead of 55%How diversification increases sustainable withdrawalsThe logic behind a U-shaped equity glide pathSequence of returns risk and how to mitigate itThoughts on the permanent portfolio and goldBucket strategies and cash reservesDynamic vs. fixed withdrawal methodsHow longevity and FIRE affect planning horizonsWhy retirees should spend and enjoy moreThe philosophy behind “A Richer Retirement”Timestamps:00:00 The origins of the 4% rule03:00 The 1968 retirement “buzz saw” scenario07:00 Common misconceptions about the 4% rule10:00 Inflation and valuation adjustments13:00 Diversification and higher withdrawal rates15:00 Longevity, FIRE, and extended retirements16:00 The U-shaped equity glide path18:00 Rebalancing and allocation timing19:00 The permanent portfolio and gold20:00 Sequence of returns risk explained22:00 Cash reserves and bucket strategies23:00 Dynamic withdrawal approaches24:00 Why the rule is now closer to 4.7%27:00 The changing market environment29:00 Key charts and frameworks from the book31:00 The eight essential elements of planning33:00 Withdrawal strategies and asset allocation34:00 Required minimum distributions36:00 Reflections on creating the 4% rule38:00 Bill’s philosophy on life and retirement40:00 Closing thoughts and where to find his book

In this episode, we kick off our book project, The Most Important Investing Lesson: What the World’s Best Investors Would Teach You, with a deep dive into the ideas of Michael Mauboussin. We explore his most enduring lessons—concepts that have reshaped how we think about investing, decision making, and life. From base rates to expectations investing, we unpack how Mauboussin’s frameworks can help investors build better models of the world and make more rational, probabilistic decisions.Main topics covered:Why base rates are the most underused yet powerful tool in investing and lifeHow to apply expectations investing and reverse engineer stock pricesWhy multiples are not valuation and how to earn the right to use shortcutsUnderstanding the paradox of skill and why luck matters more when everyone is goodLessons investors can apply across fields like business, sports, and personal decision makingHow humility, reference classes, and feedback loops improve judgmentReflections on learning, writing, and how AI tools are changing the creative process

Rupert Mitchell of Blind Squirrel Macro joins Matt Zeigler to talk global markets, China’s resurgence, the AI CapEx boom, and where investors can still find value in a concentrated, overvalued U.S. market. Rupert shares insights from his recent trip to China, his evolving macro framework, and how he’s positioning across equities, credit, and real assets in what he believes could be the start of a long cycle shift away from U.S. dominance.Topics covered:China’s accelerating industrial and market recoveryWhy he sees the start of an 8–10 year bull market in ChinaThe “CapEx time bomb” under the Mag 7U.S. vs. international equity performance and valuationsThe rise of fallen angels and how private credit changed high yieldWhy he may soon flip from short to long creditThe end of the stock-bond correlation eraHis “Bushy” portfolio and defensive positioningTrend following, precious metals, and EM local debtEmerging opportunities in Africa and UzbekistanThe global energy complex and long-dated crude exposureShort ideas in fast casual restaurants and the “forgotten 493”How investor sentiment extremes create opportunityTimestamps:00:00 China’s transformation and why Rupert’s bullish05:00 The Made in China 2025 plan and global dominance07:00 U.S. vs. international equity rotation10:00 The Mag 7’s CapEx problem14:00 The “forgotten 493” and passive flow dynamics18:00 Bonds, credit spreads, and what the yield curve says21:00 Private credit, fallen angels, and the next credit setup25:00 The end of risk parity and correlation breakdown27:00 Inside the Bushy portfolio and alternatives30:00 Gold, miners, and precious metals strategy33:00 Frontier and EM opportunities – Africa and Uzbekistan39:00 The Acorns portfolio and global positioning44:00 Energy stocks, refiners, and long-dated crude49:00 The restaurant short thesis and U.S. consumer trends53:00 Where to follow Rupert and Blind Squirrel Macro

In this episode, we are joined by Richard Bernstein, CIO and CEO of Richard Bernstein Advisors. We discuss why this is one of the most speculative market environments he has seen in his 40-year career, why he still believes it may also be one of the best eras for patient long-term investors, and how to think about the real opportunities hiding beneath the market's current narrow leadership. Richard breaks down his profit cycle framework, shares why investors are confusing economic stories for investment stories, and explains why non-US quality stocks and dividend strategies may be primed for a comeback.Topics covered• Speculation across asset classes and why it matters• Why fundamentals still offer big opportunities• The profit cycle vs the economic cycle• Divergence between the market leaders and the broader market• Inflation, pricing power, and corporate margins• Parallels between the AI boom and the dot-com bubble• Misallocation of capital and risks to the market• The case for non-US quality stocks• Where value investing could shine again• Dividend compounding and long-term wealth building• How RBA approaches macro-driven ETF investing• What investors are getting wrong about diversification• Deglobalization, reindustrialization, and long-term themesTimestamps00:00 Intro and speculative environment01:46 Best opportunities for patient investors03:52 Profit cycle framework explained06:00 Where we are in the profit cycle07:32 What investors are missing on inflation09:12 Lessons from the dot-com era and AI comparisons13:46 What could trigger the speculative unwind17:18 Valuations, CAPE, and return expectations20:23 AI’s impact on margins and productivity22:39 Can value outperform again25:41 International opportunities and quality stocks34:31 Market breadth and narrow leadership36:00 The Fed, inflation targeting, and policy risks40:11 RBA’s investment process and ETF selection47:13 Diversification vs speculation behavior49:26 Misallocation of capital and market risks52:00 Deglobalization and manufacturing opportunities54:13 Closing question: Stock market vs horse race57:40 The business Richard would start today58:29 Where to follow Richard Bernstein

In this episode, we sit down with Victor Haghani, founder of Elm Wealth and one of the original partners at LTCM, to explore his journey from running complex hedge fund strategies to adopting a simplified, evidence-based investment approach. We discuss how investors should think about expected returns, portfolio construction, dynamic asset allocation, valuation signals, buybacks, managed futures, and the dangers of extrapolating past returns into the future.Topics covered:• Victor’s journey from LTCM to simple, systematic investing• Why position sizing is as important as what you own• How to think about expected returns and valuation frameworks like CAPE and P-CAPE• The role of risk, risk premia, and personal utility in portfolio decisions• Why 60/40 and the permanent portfolio ignore expected returns• Buybacks, market elasticity, and capital flows• Indexing misconceptions and asset allocation discipline• The ETF structure and tax efficiency in asset allocation strategies• Concentration in large tech stocks and long-term equity returns• The importance of dynamic asset allocation vs static allocation• Key lessons for individual investors and avoiding “too good to be true” opportunities Timestamps:00:00 Intro and Victor’s investing journey03:00 Lessons from LTCM and shift to simplicity09:00 Position sizing vs asset selection13:00 Risk as a cost and thinking in expected returns18:00 CAPE and the P-CAPE framework26:00 How to use expected return estimates34:00 The impact of buybacks on equity markets39:00 Indexing vs poor asset allocation habits43:00 Portfolio construction and global diversification46:00 Why the permanent portfolio falls short47:00 Managed futures and factors beyond stocks and bonds50:00 Inside Elm’s dynamic allocation ETF55:00 Market concentration and equity issuance risks01:01:00 The case for dynamic allocation01:02:50 Victor’s one investing lesson

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In this episode, Cem Karsan returns to Excess Returns to break down the market through the lens of liquidity, reflexivity, and options-driven market structure. We cover why he believes we are in a bubble but still early in its trajectory, the mechanics behind today’s volatility dynamics, the role of AI spending in sustaining the cycle, and why traditional 60/40 portfolios may face major challenges in the years ahead. Cem also explains how investors should think about tail risk, true diversification, and building portfolios for a world where liquidity flows dictate outcomes.Main topics coveredWhy we are in a bubble but still likely to go higher firstFundamentals vs liquidity as drivers of returnsOptions as the “3-D” market and how they now drive equitiesReflexivity and how option flows influence asset pricesRetail adoption of options and misperceptions in the spaceAI investment boom, tail risks, and market liquidity feedback loopsHistorical valuation regimes and recency bias in marketsPortfolio construction beyond the 60/40 modelTail hedging and the role of long volatilityImportance of true diversification and managing interest-rate riskTimestamps00:00 Bubble dynamics and why being bullish can coexist with danger 03:00 Fundamentals vs liquidity as market drivers 08:00 Rise of options and how they now influence markets 14:00 Reflexivity explained in simple terms 19:00 Mistakes investors make with options and structured products 24:00 AI spending, liquidity expansion, and similarities to 1999 31:00 Tail risks, China/Taiwan, private markets, inflation signals 38:00 Why 60/40 has worked recently – and why it may fail ahead 52:00 Inequality, cycles, crisis as a clearing mechanism 54:00 Building a portfolio for the next decade: diversification, tail hedging, box spreads, and non-correlated strategies 1:04:00 Closing thoughts and takeaway for investors

Kai Wu of Sparkline Capital joins Excess Returns to discuss his paper Surviving the AI CapEx Boom. In this episode, Kai breaks down the unprecedented level of investment in AI infrastructure, why today’s AI buildout mirrors past technology booms, and what it all means for investors. He explores the parallels between AI and historic bubbles, the implications of massive corporate CapEx spending, and where value might ultimately be captured as the cycle plays out.Topics covered:Why big tech’s CapEx spending has exploded and how much they’re investingThe trillions in revenue needed to justify AI infrastructure spendingHistorical parallels with the railroad and dot-com buildoutsWhy companies that invest heavily often underperformHow the Mag 7 are shifting from asset-light to asset-heavy businessesThe risks of “circular deals” and financial entanglement in AIWhy the AI race resembles a prisoner’s dilemmaWhich layers of the AI stack may capture long-term valueHow early adopters and infrastructure players differ in capital intensity and returnsWhere investors might find opportunity beyond the obvious AI namesTimestamps:00:00 Introduction and overview of AI CapEx boom03:00 Why Kai researched AI investment cycles05:00 Scale of big tech’s CapEx spending07:00 Revenue needed to justify AI infrastructure08:30 Market concentration and valuation risks11:30 Historical parallels: railroads, internet, and AI14:30 The capital cycle and overinvestment dynamics17:30 “This time is different?” and lessons from bubbles18:00 Factor investing and high-asset-growth underperformance21:00 Sector and firm-level CapEx trends22:30 Winner-take-all dynamics and competitive pressure26:00 How the Mag 7’s business model is changing30:00 Comparing tech CapEx to utilities34:00 The circular deal problem and financial risk37:30 The AI arms race as a prisoner’s dilemma40:30 Will AI be winner-take-all?43:30 Lessons from the railroad and dot-com eras47:00 Where the value is captured in infrastructure vs adoption48:00 Identifying early AI adopters and hidden beneficiaries50:30 Sector and geographic AI exposure54:00 Capital intensity and valuation differences between infrastructure and adopters

In this episode of Excess Returns, we speak with Nancy Davis, founder and CIO of Quadratic Capital Management and the mind behind the innovative fixed income ETFs IVOL and BNDD. Nancy shares her insights on how investors are unknowingly short volatility in their portfolios, the role of options and convexity in fixed income, and how her ETFs seek to hedge against inflation, interest rate shifts, and volatility in a unique way. We also discuss the bond market, inflation dynamics, and how investors can better understand and manage risks that are often hidden inside traditional portfolios.Main topics covered• How Nancy’s experience trading volatility at Goldman Sachs shaped her investment philosophy• Why most investors are short volatility without realizing it• Understanding convexity and prepayment risk in bond portfolios• The rise of passive investing and its impact on interest rate volatility• How IVOL provides exposure to interest rate volatility and inflation protection• The problem with relying on CPI as a measure of inflation• Why gold is an inconsistent inflation hedge• The yield curve as an alternative indicator of inflation expectations• Why interest rate volatility is historically cheap today• The relationship between bond volatility and stock volatility• How to think about IVOL and BNDD in a diversified portfolio• The long-term risks of shorting volatility and selling options for “income”Timestamps00:00 Introduction and overview of option selling in markets02:15 Nancy’s background at Goldman Sachs and lessons on volatility05:00 Understanding convexity and its importance in fixed income06:30 Why investors are short interest rate volatility without knowing it10:25 The hidden risks inside the bond market and the role of mortgages11:00 Why most investors are short inflation in real life13:00 Conventional vs. alternative inflation hedges17:00 Why CPI is an imperfect inflation measure18:00 How the yield curve reflects inflation expectations21:00 Historical yield curve data and current inversion25:00 Interest rate volatility after Silicon Valley Bank26:30 Relationship between bond and stock volatility28:00 Using IVOL in a portfolio31:00 Discussion on the national debt and interest rate risk32:00 BNDD ETF and how it complements IVOL33:30 Why inflation-protected bonds are underused in the US36:00 Closing questions – what Nancy believes most peers disagree with37:00 Why selling options is not income and the risks investors overlook

In this episode of Excess Returns, Meb Faber joins the show to discuss valuations, diversification, trend following, value investing, and the evolution of markets and investor behavior over the past two decades. Meb shares insights from his upcoming book, lessons from 400 years of market history, and how investors can position themselves for the next decade. The conversation covers everything from international investing and concentration risk to ETFs, managed futures, AI, and long-term discipline.Topics covered:The four historical periods of 15%+ annualized stock market returns and what followedWhy current U.S. valuations don’t necessarily mean an immediate crashHow global value stocks are now outperforming the S&P 500The role of international diversification and real assets in portfoliosTrend following and managed futures as the “premier diversifiers”The benefits of blending trend and valuation-based strategiesThe permanent portfolio and how managed futures enhance itConcentration risk in U.S. equities and what history teaches about market leadershipThe parallels (and limits) between today’s market and the dot-com bubbleAI’s potential role in investing and portfolio managementThe behavioral traps around performance chasing and when to sellLessons from launching and running ETFs and the 351 exchange structure for tax efficiencyThe future of markets, retail investors, and Meb’s upcoming book “Time Billionaires”Timestamps:00:00 Intro and market performance context04:00 Are U.S. valuations permanently higher?09:00 The spectrum of future returns and investor playbook12:00 International and value investing opportunities15:00 Trend following and managed futures19:00 The permanent portfolio and diversification25:00 Concentration risk and market structure28:00 AI’s impact on investing32:00 Comparing today’s market to the dot-com bubble37:00 The long-term case for value investing41:00 When to sell and investor behavior45:00 Lessons from running ETFs and industry evolution51:00 Understanding 351 exchanges and tax-efficient investing57:00 What’s changed most for investors over 20 years59:00 Meb’s new book “Time Billionaires” and closing thoughts

Eric Freedman, Chief Investment Officer at US Bank Wealth, joins Excess Returns to discuss markets, the economy and his investment process. Freedman shares his “control the controllables” investment framework, why he’s maintained a glass-half-full view on the U.S. economy, and how data—not emotion—drives portfolio decisions. The conversation covers macro trends, inflation, the Fed, AI, valuation, and how to stay disciplined as an investor.Topics covered:Data-driven investing and the “control the controllables” frameworkWhy the U.S. consumer remains resilientInflation outlook and how sticky prices impact portfoliosThe Fed’s next moves and what investors should watchGlobal diversification and the case for international stocksHow to think about inflation protection and real assetsThe diffusion of AI and separating winners from pretendersMarket concentration, valuations, and managing riskLife lessons from a CIO: discipline, process, and informed decision-makingTimestamps:00:00 Introduction03:00 Controlling the controllables06:00 Why Eric remains optimistic on the economy10:00 How portfolio decisions flow through US Bank15:00 Data-driven insights vs. gut feel18:00 Consumer strength and scorecard22:40 Inflation outlook and Fed challenges30:00 Bond market risk and the “Brazilian steakhouse” analogy34:00 Global competition and diversification38:00 Inflation protection and real assets41:30 The reality of AI and productivity47:00 Market concentration and the Mag 752:00 Valuations and long-term returns55:45 Lessons for investors

In this episode of Excess Returns, we welcome back Rick Ferri, founder of Ferri Investment Solutions and host of the Bogleheads on Investing podcast. Rick shares timeless insights on the evolution of an investor’s education, the pitfalls of complexity, and how to build portfolios that are simple, low-cost, and behaviorally sustainable. The discussion covers how investors can think about macro forecasts, indexing, factors, international diversification, and the right withdrawal rates in retirement.Topics covered:Why macro forecasting rarely works as a long-term investment strategyThe four stages of the index investor’s education: darkness, enlightenment, complexity, and simplicityHow financial advisors and Wall Street profit from unnecessary complexityThe case for international diversification and how to size it correctlyThe pros and cons of factor investing and why behavioral discipline matters more than factors themselvesWhy passive investing isn’t “too big” and why indexing works over timeHow to think about valuations and investor psychologyTips, gold, and how to think about inflation protectionRethinking the 4% withdrawal rule and why goals for heirs matter more than formulasThe one piece of advice Rick would give to young investors todayTimestamps:00:00 Introduction and the four stages of an index investor03:00 Why macro forecasting fails as an investment tool07:00 The evolution from complexity to simplicity13:00 Complexity as job security for advisors18:00 Should investors own international stocks?23:00 The behavioral challenge of factor investing32:00 Is passive investing too big?34:00 What to do (and not do) with market valuations37:00 Managing investor behavior through small adjustments39:00 Inflation, TIPS, and the role of gold46:00 Why indexing works and what makes it unbeatable49:00 The 4% rule and smarter withdrawal strategies57:00 Advice for young investors and what Rick wants his legacy to be

In this episode of Excess Returns, Matt Zeigler talks with macro strategist and author Remi Tetot, known as “The Mad King.” They explore how liquidity, policy, and narratives have reshaped markets over the last decade, why fundamentals have lost their grip, and how investors can adapt to a fractured global cycle. The conversation spans macro themes like fiscal dominance, housing, crypto, and AI — and ends with a deeper reflection on human capital, autonomy, and the behavioral side of markets.Topics covered:How liquidity replaced fundamentals as the market’s main driverWhy investors must adapt to desynchronized global cyclesThe impact of debt, fiscal dominance, and government policy on marketsHousing as the next driver of the business cycleHow AI, robotics, and quantum computing are shaping the next growth waveThe maturation of crypto and what comes after the “altcoin season”Why narratives now drive price and how to read them effectivelyThe risks and opportunities in trading liquidity and fiscal policyThe cognitive and behavioral shifts driving modern investingProtecting human capital in the age of AI and automationTimestamps:00:00 Liquidity and the end of fundamentals06:17 Three continents, three policies, one fractured world12:20 Housing as the next driver of the cycle16:39 Crypto’s evolution and fiscal dominance23:26 Portfolio positioning in a policy-driven market29:44 AI, human capital, and the risk to autonomy36:00 How narratives shape markets and investment themes52:00 Building a macro narrative and market framework58:00 Lessons for investors and closing thoughts

In this episode of Excess Returns, Larry Swedroe returns to discuss the biggest risks and opportunities facing investors today. From tariffs and immigration to AI and private credit, Larry shares evidence-based insights on how to think about markets without relying on forecasts. He explains why diversification is essential, how investors can “sin a little” with duration and valuation, and why only 4% of stocks drive the equity risk premium. The conversation blends timeless investing wisdom with today’s most important macro themes.Main topics covered:Why forecasts don’t work and what investors should do insteadThe real economic risks of tariffs and immigration restrictionsHow AI may (or may not) impact productivity and market winnersHow to build anti-fragile portfolios around macro risksWhen and how to “sin a little” on bond duration and valuationLessons from past tech booms and investor overconfidenceThe 4% of stocks that drive all long-term equity returnsThe risks of concentration in the S&P 500Hidden costs of passive investing and large index fundsWhen index and factor funds get too big to trade efficientlyValue investing, interest rates, and inflation relationshipsThe evidence on simple value strategies like Piotroski and Magic FormulaHow to think about growth exposure using quality and low volatilityThe opportunities and dangers of private credit and interval fundsWhy illiquidity premiums exist and how to capture them prudentlyBehavioral discipline, diversification, and long-term compounding lessonsTimestamps:00:00 Forecasting failures and market humility03:30 Why Larry doesn’t make macro predictions07:00 The real impact of tariffs and immigration on inflation and growth11:00 AI, productivity, and the question of who the real winners will be14:40 How to manage duration risk and “sin a little”18:00 Investor overconfidence and lessons from past tech booms21:00 Why only 4% of stocks explain all equity returns24:00 Market concentration and S&P 500 risk28:30 Why diversification still matters30:00 The hidden trading costs of index and factor funds38:00 How big fund size changes execution and exposure41:00 Is passive investing too big?42:30 Value vs growth and interest rate relationships45:00 Evidence on simple value strategies and Buffett’s alpha51:00 Factor diversification and one-over-N strategy54:00 Private credit: opportunity and risks58:00 Illiquidity premiums and fund structure concerns01:00:00 Behavioral discipline, patience, and staying diversified

Adam Parker, founder and CEO of Trivariate and Trivector Research, joins Excess Returns to discuss how fundamental, quantitative, and macro perspectives intersect to shape markets today. Parker shares his long-term bullish case for U.S. equities, why traditional valuation signals no longer work, the biggest risks he sees for investors, and how AI, inflation, and market structure are reshaping opportunities and risks in real time.Main topics covered:Why combining fundamental, quantitative, and macro analysis gives a clearer view of marketsThe case for the S&P 500 reaching 10,000 by 2030Structural reasons why market multiples may stay higher for longerThe key bear cases: hyperscaler CapEx risk, fiscal deficits, and AI-driven unemploymentComparing today’s market to the dot-com eraWhy traditional recession indicators have failedHow COVID changed the economic cycle and business synchronizationInflation, tariffs, and what the Fed is really watchingWhy valuation is a broken signal for stock pickingThe quant factors that matter most todayETF factor exposures and hidden risksHow to think about the 60/40 portfolio, diversification, and private marketsWhy U.S. innovation and margins make it the dominant equity marketKey lessons and philosophies for long-term investorsTimestamps:00:00 What really drives equity investing03:00 Adam Parker’s background and multi-lens approach05:00 Why he’s long-term bullish and sees S&P 10,00008:00 Structural margin expansion and AI productivity09:00 The three major bear cases14:00 How today compares to the 1990s tech bubble18:00 Why the economy has stayed resilient20:00 COVID’s impact on business cycles23:00 Market structure, inventory, and margins24:00 Inflation, tariffs, and Fed outlook29:00 Deficits and why timing macro risks is hard32:00 Large vs small cap dynamics37:00 Why valuation doesn’t work41:00 Key quant factors to watch43:00 ETF grading and hidden exposures46:00 The 60/40 portfolio and asset allocation51:00 U.S. vs Europe and innovation advantage55:00 Lessons for investors and closing thoughts

Ben Hunt returns to Excess Returns to break down the hidden risks building inside private credit and the parallels between today’s “alternative asset managers” and the shadow banking system that triggered the 2008 financial crisis. Using the Godfather’s Tessio as a metaphor for betrayal and broken trust, Ben explains how opacity, leverage, and narrative collapse can turn small defaults into systemic crises. He and Matt Zeigler explore what’s really happening beneath the surface of private markets, how common knowledge shifts shape investor behavior, and how Perscient Pro’s “storyboards” and “semantic signatures” help track the narratives driving markets in real time.Main topics coveredWhy Ben believes we’re at a “trust-breaking” moment similar to 2007The Godfather analogy and what frauds reveal about human behaviorHow private credit has evolved into today’s “shadow banking” systemFlow machines, hidden leverage, and why opacity is intentionalThe dangers of informational asymmetry between investors and lendersHow broken trust creates chain reactions in financial systemsThe link between narrative collapse and liquidity crisesCommon knowledge, crowd reactions, and market psychologyDoom loops between Wall Street and the real economyHow Perscient Pro tracks financial narratives using semantic signaturesWhy gold’s current rally is about safety, not debasementWhat investors should monitor next in credit, housing, and macro narrativesTimestamps0:00 Hidden leverage and the trust problem1:04 Introduction to Ben Hunt and Epsilon Theory2:12 The Tessio analogy – betrayal and the structure of fraud6:10 How private credit became today’s shadow banking system10:55 Flow machines and why opacity is intentional14:48 Trust breaks and the “funding stops first” dynamic18:35 The Biden “common knowledge” moment explained21:00 What happens when narratives collapse24:26 Apollo, asymmetric information, and shorting First Brands28:00 Hidden leverage and the domino effects of default33:40 The “doom loop” between Wall Street and the real economy39:10 Why Silicon Valley Bank was different44:18 What a “run on Wall Street” could look like48:00 Perscient Pro and tracking financial storyboards53:32 Semantic signatures and narrative detection57:10 Housing, inflation, and gold storyboards1:00:48 Where to follow Ben Hunt and learn more about Perscient Pro

In this episode of Excess Returns, Gene Munster and Doug Clinton of Deepwater Asset Management join Justin and Jack to explore the technological, economic, and investing implications of AI. They discuss why they believe we’re still in the early stages of a multi-year bull market driven by AI, how the technology is reshaping jobs and productivity, and what it means for investors. The conversation also covers how companies like Nvidia, Apple, Tesla, and Meta fit into this AI cycle, the energy demands of AI, and the future of AI-driven investing through Intelligent Alpha and its GPT ETF.Topics covered:• Why Gene and Doug believe AI represents a once-in-a-generation wealth creation opportunity• How AI may impact corporate profitability and hiring trends• The political and social dynamics slowing AI adoption• Doug’s “detective, people-pleaser, and tastemaker” framework for future human jobs• How Intelligent Alpha uses large language models to manage portfolios• The advantages of AI-driven investment models over humans• Economic and market implications of an AI productivity boom• The hardware-data-application structure of technological cycles• The role of energy, especially nuclear and solar, in supporting AI growth• The competitive race among model providers like OpenAI, Google, and Meta• Apple’s long-term AI positioning and potential comeback• Tesla’s valuation, autonomy vision, and the future of robotics• The inevitability and function of bubbles in breakthrough technologies• The rise of private markets and retail investor access to innovation• Future frontiers in quantum computing and biotechnologyTimestamps:00:00 Introduction and Deepwater’s AI thesis03:00 Why AI marks a multi-year bull market opportunity08:00 Political reality and limits of AI deployment11:00 The future of human work: detectives, people-pleasers, tastemakers16:00 Inside Intelligent Alpha and the GPT ETF19:00 Why AI can outperform human managers25:00 How AI affects productivity, margins, and employment26:00 Hardware, data, and application cycle in AI28:00 The energy constraint: nuclear, gas, and solar29:30 The model race: OpenAI, Google, Meta34:00 Apple’s role and long-term AI potential39:30 Tesla, autonomy, and long-term disruption44:00 Are bubbles necessary for technological revolutions?49:00 Private vs. public investing in innovation51:00 Beyond AI: quantum computing and life extension technologies54:45 Closing thoughts

Buy Toby's Bookhttps://amzn.to/478SMBfIn this episode of Excess Returns, we sit down with Tobias Carlisle, founder and portfolio manager at the Acquirers Fund, and author of the new book “Soldier of Fortune: Warren Buffett’s Sun Tzu and the Ancient Art of Risk Taking.” Tobias joins Matt Zeigler and Bogumil Baranowski to explore how timeless strategic principles from The Art of War apply to investing and how Warren Buffett embodies many of those ideas—from invincibility and victory without conflict to the disciplined avoidance of ruin. The conversation connects Buffett’s real-world decisions—from Apple to General Re to Japan’s trading houses—to broader lessons on temperament, risk, and wisdom in markets.Main topics covered:• The three key ideas from The Art of War that define Buffett’s approach: invincibility, victory without conflict, and unassailable strength• Why Buffett’s General Re acquisition was a misunderstood masterstroke in defensive investing• How Buffett achieved “victory without conflict” through his massive Apple investment• The principle of via negativa — succeeding by avoiding mistakes and ruin• Temperament vs. intellect and the psychology of avoiding self-defeat• Circle of competence and why simplicity often beats complexity• Sins of omission vs. sins of commission in investing decisions• How Buffett applies wu wei (effortless action) through patience and alignment with natural forces• Lessons from Buffett’s Japanese trading house investments and moral law in business• The role of reputation, intuition (coup d’œil), and character in long-term investing• Charlie Munger’s blueprint and the strategic architecture of Berkshire HathawayTimestamps:00:00 Introduction and overview of Tobias Carlisle’s key ideas02:00 Applying Sun Tzu’s “invincibility, victory without conflict, and unassailable strength” to Buffett06:00 The General Re acquisition as a defensive masterpiece12:00 Victory without conflict — Buffett’s Apple investment19:00 The principle of via negativa and avoiding ruin22:00 Survival, temperament, and controlling emotion in investing25:00 Circle of competence and the power of simplicity28:00 Sins of omission vs. sins of commission32:00 Temperament, intellect, and avoiding self-defeat40:00 Wu wei and investing with effortless alignment49:00 Position sizing, concentration, and the Kelly Criterion50:00 Buffett’s investments in Japan’s trading houses56:00 Reputation, intuition, and the power of pattern recognition61:00 Charlie Munger’s blueprint and Buffett’s strategic genius64:00 Closing thoughts and where to find Tobias online