Two Quants and a Financial Planner

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  Falling Rates. Rising Productivity. Are Good Things Bearish? 17.08.2026 31นาที

  In this week's Excess Returns Weekly Wrap, Jack Forehand and Matt Zeigler break down Jim Paulsen's warning that falling Treasury yields could become bad news for stocks if markets shift from inflation fears to growth fears, and Dom Rizzo's bullish case for AI productivity and frontier models. They also examine whether today's productivity boom is real, how AI coding tools like Claude Code and Codex could reshape white-collar work, and why recessions can create misleading spikes in measured productivity.Topics coveredWhy falling Treasury yields can be bullish when inflation is cooling but bearish when growth is weakeningJim Paulsen's case that economic surprise data could be pointing toward lower 10-year Treasury yieldsWhat the stock-bond correlation says about whether investors are more worried about inflation or recessionDom Rizzo's bullish case for AI-driven coding productivity and the rapid growth of frontier AI modelsHow large the AI coding market could become and where OpenAI, Anthropic and other AI companies may capture valueWhy open-source and lower-cost AI models could dominate token volume while frontier models capture most of the economicsWhether enterprise AI spending is evidence that companies are already seeing meaningful returnsThe challenge of translating more code and faster knowledge work into measurable revenue, cost savings and economic productivityJim Paulsen's argument that recessions often create temporary spikes in measured productivityWhether today's productivity gains reflect a genuine AI boom, economic weakness, or some combination of bothTimestamps00:00 Why hearing the AI case you disagree with matters04:47 When falling Treasury yields could become bad news for stocks10:54 Dom Rizzo on AI coding productivity and who captures the value16:49 Can we actually measure the economic payoff from AI?22:52 Jim Paulsen on why recessions can create false productivity booms27:00 What today's productivity data may be saying about the economyLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
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  We Reunited David Rosenberg and Rich Bernstein After 20 Years | The Misallocation They Both See 10.08.2026 32นาที

  This week on the Excess Returns Weekly Wrap, Jack Forehand and Matt Zeigler break down the AI capital spending boom, the risk that data center investment is crowding out housing and other parts of the economy, and what that means for markets. Featuring Richard Bernstein, David Rosenberg, Tian Yang, and Brent Donnelly, the episode covers AI CapEx, GDP growth, inflation, the K-shaped economy, AI ROI, and why rationality and Bayesian thinking matter more than raw intelligence for investors and traders.Topics coveredWhy the AI and data center boom may be misallocating capital away from housing and infrastructureWhat the dot-com bubble taught Richard Bernstein about investing where capital is scarceWhy AI related spending is approaching half of business CapEx while ex-AI investment is shrinkingHow today's K-shaped economy differs from the broad economic boom of the late 1990sThe difference between AI's contribution to GDP growth and its share of total GDPTian Yang's Kalecki-Levy framework for understanding spending, savings, income, and economic resilienceWhy a pullback in hyperscaler CapEx could weaken the spending and income loopWhy AI return on investment is so difficult to measure and how the profit pool could broaden beyond hardwareBrent Donnelly on why rationality and flexibility matter more than credentials or raw intelligenceWhy persistent bearishness can become a major investing mistakeHow Bayesian thinking, position sizing, and changing your mind help investors stay in the gameTimestamps00:02 Rich Bernstein and David Rosenberg reunite and this week's lineup04:10 The dot-com lesson: what happens when capital floods one sector08:15 AI CapEx, inflation, and why today's economy is different from the 1990s13:58 Kalecki-Levy: how spending and savings are keeping growth resilient18:03 AI CapEx concentration, productivity, and the uncertainty around ROI22:21 Brent Donnelly on why rationality beats intelligence26:21 Strong opinions, flexibility, and Bayesian thinking30:33 What traders and market makers can teach long-term investorsLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
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  A War-Sized AI Bet. The Fed Goes Dark. Is One More Hike the Death Shot? | The Weekly Wrap 03.08.2026 35นาที

  On this episode of the Excess Returns Weekly Wrap, Jack Forehand and Matt Zeigler examine how the AI capital spending boom, an unpredictable Federal Reserve, reduced corporate reporting and factor investing are reshaping markets.They break down Ben Hunt's warning about private credit and AI infrastructure, Cameron Dawson and Dave Nadig on the loss of Fed forward guidance, Wes Gray on why value may matter more than company size, and Rupert Mitchell on the rate hike that could end the cycle.Topics covered:Why the AI capital spending boom is forcing hyperscalers to borrow money and issue equityHow private credit and private equity are financing the AI infrastructure buildoutWhy a slowdown in AI CapEx could create broader financial system riskHow government borrowing and AI investment are crowding out capital and pushing interest rates higherThe impact of data center electricity demand on consumers and the broader economyHow Kevin Warsh's no-forward-guidance policy changes Federal Reserve expectationsWhy greater front-end interest rate volatility matters for floating-rate debt and private creditThe debate over replacing quarterly corporate reports with six-month reportingWes Gray's argument that value, not small-company size, is the real source of higher expected returnsRupert Mitchell's death shot framework for how a final central bank rate hike can end a market cycleTimestamps:00:00 AI spending, Fed uncertainty and this week's market themes05:07 How the AI buildout crowds out capital across the economy10:44 No Fed forward guidance and a new era of policy uncertainty15:48 Why six-month corporate reporting could hurt investors20:30 Wes Gray on the small-cap premium24:42 Why value matters more than company size28:57 How a surprise rate hike could break risk assets34:05 Global value investing and pairing different investor perspectivesLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
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  No ROI Yet. Fewer Recessions. Are You Making More Money? | 4 Things We Learned This Week 26.07.2026 30นาที

  This week's Excess Returns Weekly Wrap examines when AI spending will translate into measurable end-user ROI, why the U.S. business cycle may now produce fewer recessions, and how Federal Reserve policy could combine lower short-term rates with a smaller balance sheet. Jack Forehand and Matt Zeigler break down insights from Andy Constan, Azeem Azhar and Aahan Menon on AI productivity, business-cycle shifts, asset prices and the tradeoffs between Wall Street and Main Street.Topics coveredWhy subsidized AI tokens may be masking the true economics of end-user ROIThe difference between personal productivity gains, cost savings and measurable business profitsHow the transition from electric light bulbs to assembly lines explains AI process redesignWhy adding more copilots cannot turn a legacy company into an AI-native enterpriseThe productivity J-curve and why promising AI investments may initially look unprofitableHow the shift from manufacturing toward services and technology changed the business cycleWhy housing and industrial indicators may be less reliable signals for the broader economyHow consumer conditions, equity wealth and technology investment increasingly drive growthWhy stronger balance sheets and policy intervention may be reducing recession frequencyHow lower short-term rates and a smaller Fed balance sheet could affect asset prices and inequalityTimestamps00:00 Intro and this week's triple-A lineup04:00 AI's long-term promise and medium-term transition risk08:18 Azeem Azhar on electricity as a model for AI adoption12:28 Why more copilots cannot create an AI-native company16:39 How services and technology changed the business cycle21:20 Why policy intervention may be smoothing recessions26:00 How Fed policy could rebalance Wall Street and Main Street30:05 Closing thoughts and where to follow Excess ReturnsLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
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  Strong Jobs. Vanishing Workers. Are You Watching the Wrong Number? | 4 Things We Learned This Week 20.07.2026 32นาที

  In this episode of the Excess Returns Weekly Wrap, Jack Forehand and Matt Zeigler break down lessons from their conversations with Market Wizards author Jack Schwager and Data 4 the People founder Eric Pachman. They explore why the unemployment rate can hide labor market weakness, how aging and care jobs are reshaping employment, why elite traders survive by following strict risk management rules and whether artificial intelligence can ever solve financial markets.Topics covered:Why the headline unemployment rate can miss a deteriorating labor marketHow falling labor force participation changes the meaning of jobs dataWhy prime-age workers leaving the labor force matters for economic growth and consumptionThe limitations of relying on long-standing BLS and Federal Reserve benchmarksHow an anonymous trader turned a small account into roughly half a billion dollarsWhy trading discipline, stop losses and risk management matter more than being rightWhat the Carvana short squeeze reveals about the danger of breaking your own rulesHow aging demographics are concentrating job growth in healthcare and social assistanceWhy home healthcare and elder care workers are essential but often poorly paidWhether AI can generate market alpha or simply raise the baseline quality of investment toolsTimestamps:00:00 Jack Forehand and Matt Zeigler become market wizards04:24 What falling labor force participation hides08:55 Simon Russo chooses trading over music13:00 How ignoring stops could wipe out a fortune17:05 Messi and the rule sets behind elite performance21:05 Aging America and the rise of low-paid care jobs25:05 Why financial markets are uniquely difficult for AI29:07 How AI raises the floor without creating super-investorsLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
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  Tech Down 10%. Earnings at Record Highs. Which One Is Lying? | 5 Things We Learned This Week 13.07.2026 32นาที

  This week's Weekly Wrap examines whether weakening mega-cap leadership, massive AI capital spending, and record earnings expectations are creating hidden risks beneath the market.Jack Forehand and Matt Zeigler compare Jim Paulsen's correction case, Katie Stockton's technical analysis, Jeff Klingelhofer's fixed-income view of AI debt, and Matt Zenz's evidence-based analysis of corporate investment.They discuss why semiconductors have replaced the Magnificent Seven as the market's narrowest leadership group, why healthy breadth can coexist with fading momentum, how roughly $600 billion in AI CapEx is influencing U.S. economic growth, and why excellent earnings momentum does not eliminate correction risk.Main topics covered• Jim Paulsen's case for a 10% to 20% correction without a recession or long-term bear market• Why S&P 500 technology was already 10% below its June high• How broader market leadership could outperform mega-cap technology• Katie Stockton on weakening Magnificent Seven momentum and narrow semiconductor leadership• The difference between market breadth, participation, and leadership• How roughly $600 billion of AI CapEx from four companies is supporting economic growth• Why heavy AI-related debt issuance may create attractive opportunities in high-quality bonds• How fixed-income investors evaluate AI spending differently from equity investors• Matt Zenz on asset growth, corporate investment, and the factor evidence around future returns• Why current mega-cap AI spending may not be extreme relative to company size• Why strong earnings momentum and optimistic analyst estimates can still precede market troubleTimestamps00:00 Four perspectives on technology, AI spending, and market leadership05:00 Technology is already down 10% and Paulsen's long-term bull case09:21 Katie Stockton on Magnificent Seven weakness and semiconductor leadership15:36 Jeff Klingelhofer on $600 billion of AI CapEx and the bond market20:13 Why high-quality AI debt may offer attractive yields24:25 Why mega-cap AI spending may not be extreme by factor standards29:09 Earnings momentum, earnings bubbles, and why strong fundamentals can precede troubleLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms, or their clients.
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  Expensive Market. AI Backlash. Are Investors Pricing the Wrong Risk? | 6 Things We Learned This Week 05.07.2026 39นาที

  Jack Forehand and Matt Zeigler break down the biggest investing ideas from the week, including the AI bull market, data center backlash, semiconductor cyclicality, US stock market dominance and long-term market history. The episode features clips from Warren Pies, Meb Faber, Kai Wu and Ritavan on how investors should think about model progress, valuation, bear markets, moats, strategy and global diversification.Main topics coveredWhy political backlash against AI data centers may become a bigger risk than open source competitionHow Sam Altman, Dario Amodei and AI lab leaders are shaping the public narrative around artificial intelligenceWhy model progress, enterprise AI adoption and compute demand remain central to the AI bull marketMeb Faber on 250 years of US market history and the power of long-term compoundingWhy expensive US stock valuations can coexist with long-term optimism about AmericaHow bear markets reset speculative excess and why younger investors may benefit from future declinesWarren Pies on whether semiconductors are being priced like a less cyclical industryWhy peak margins and low valuation multiples can be misleading in cyclical businessesKai Wu and Ritavan on how AI changes moats, code, proprietary data and corporate strategyThe System Gambit framework and why old checklists can fail when the game changesHow investors should think about US versus international markets across decades and centuriesWhy future diversification may depend on where the next great innovation sandbox emergesTimestamps00:00 Intro and weekly lineup04:00 AI data centers, politics and the PR problem09:18 Meb Faber on US market history and bear markets14:44 Are semiconductors still cyclical?20:56 Kai Wu on code, AI and changing moats25:57 Ritavan on the System Gambit and the Ottoman Empire30:28 Meb Faber on US versus international stocks36:00 America as an innovation sandbox38:06 Closing thoughts and where to follow Excess Returns
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  Easy Bubbles. Hard 100 Baggers. Useless AI | 6 Things We Learned This Week 28.06.2026 35นาที

  This week’s Weekly Wrap breaks down the biggest investing lessons from our conversations with GMO’s Ben Inker and 100 Baggers author Chris Mayer. We discuss how to think about market bubbles, AI capital spending, earnings risk, IPO supply, SpaceX, long-term compounders, and the founder traits that matter for investors.Main topics coveredBen Inker’s framework for easy bubbles versus hard bubblesWhy the 2000 tech bubble was easier to navigate than the 2008 financial crisisHow expected returns can help investors think about risk and rewardChris Mayer on why labels like AI, software or SpaceX can mislead investorsWhy investors need to understand what companies actually mean when they say AIThe case that today’s market risk may be hiding in earnings rather than valuationsHow AI data center spending can boost current corporate profits before depreciation hitsWhy great 100-bagger stocks usually give investors many chances to buyHow IPO supply from companies like SpaceX, OpenAI and Anthropic could affect market returnsChris Mayer’s approach to evaluating founders, compensation, incentives and cultureTimestamps00:00 Intro to the Weekly Wrap and the new episode format02:22 Ben Inker on easy bubbles, hard bubbles and 2000 versus 200808:12 Chris Mayer on SpaceX, AI and the danger of letting labels do the thinking14:13 Ben Inker on earnings bubbles, AI spending and why valuations may look reasonable19:38 Chris Mayer on 100-baggers and why investors do not need to buy immediately22:53 Ben Inker on IPO supply, lockups and what new equity issuance can do to returns28:03 Chris Mayer on evaluating founders, incentives, compensation and trust34:38 Closing thoughts and the new Excess Returns Clips channel
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  Expensive Market. Record Issuance. Can the Story Still Hold It Up? | 6 Things We Learned This Week 22.06.2026 34นาที

  This week’s Excess Returns Weekly Wrap breaks down the biggest investing lessons from Aswath Damodaran, Andy Constan and Tobias Carlisle. We discuss SpaceX valuation, AI capital spending, IPO mechanics, market overvaluation, the shift from buybacks to issuance, and whether value, small caps and equal weight stocks are starting to reverse years of mega-cap dominance.Topics covered:Why Aswath Damodaran says valuation requires both stories and numbersHow investors can evaluate SpaceX without relying only on total addressable marketWhy IPOs are designed to trade well after issuanceHow a small public float can influence the perceived value of an entire companyWhy expensive market valuations do not automatically mean investors should sell everythingWhat history suggests about forward returns when market valuations are extremeWhy AI is changing the capital intensity of the Magnificent 7The underrated role of restraint in business strategy and AI spendingHow the market is shifting from buybacks to stock issuanceWhy value, small caps and equal weight stocks may be showing early signs of a reversalTimestamps:00:00 Intro and this week’s episodes with Aswath Damodaran, Andy Constan and Tobias Carlisle04:17 What the SpaceX story needs to justify the valuation08:56 Why IPO issuers may want the stock to trade up13:20 Why mean reversion looks harder to trust in today’s market17:28 How AI CapEx changes the Mag 7 valuation equation22:21 Why buybacks and issuance matter for stock market supply27:28 Are value, small caps and equal weight stocks starting to reverse?31:53 Why market broadening can continue if recession is avoided
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  When the Fire Hose Meets the Megatrend | The Weekly Wrap 15.06.2026 35นาที

  In this episode of the Excess Returns Weekly Wrap, Jack Forehand and Matt Zeigler break down two major conversations with Mike Green and Vanguard's Joe Davis. The discussion connects passive investing flows, mega-cap concentration, AI-driven productivity, fiscal deficits, demographics, and the possibility that markets are being reshaped by forces most investors do not fully understand.Topics covered:* Why passive investing can act like a fire hose into the largest stocks* How market-cap weighting can amplify flows into mega-cap, high-volatility companies* The connection between passive flows, factor investing, size, beta, and volatility* Why Mike Green sees passive flow dynamics changing market behavior* How buy-the-dip behavior, ETF flows, CTAs, and volatility control funds can reinforce rallies* Vanguard's megatrends framework for technology, demographics, deficits, and globalization* Why long-term structural trends can affect short-term growth, inflation, and markets* Joe Davis's case that AI could be more transformative than the personal computer* The risk that AI only automates work rather than augmenting workers and creating new industries* Why disappointing AI adoption could bring fiscal deficits, inflation pressure, and higher Treasury yields back into focusTimestamps:00:00 Passive flows, AI, and the biggest forces shaping markets03:38 Mike Green on passive investing as a market liquidity fire hose08:26 The passive flow premium and why large-cap stocks keep winning12:00 Joe Davis on technology, demographics, deficits, and globalization16:20 Mike Green on whether passive flows can reverse20:46 Buy-the-dip behavior, ETF inflows, and market volatility21:25 Joe Davis on AI, deficits, and the future of U.S. growth25:04 The 20% probability of a 9% 10-year Treasury yield29:00 Why AI could be more powerful than the personal computer34:10 Final thoughts on Mike Green, Joe Davis, and the Excess Returns network
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  The $1.75T IPO No One Can Price | 6 Things That Surprised Us This Week 08.06.2026 35นาที

  This week’s Excess Returns Weekly Wrap looks at the market stories that surprised us most, including the potential SpaceX IPO, extreme valuations, market structure, AI disruption, value investing, tech leadership and oil prices. Jack Forehand and Matt Zeigler break down clips from Cameron Dawson, Kai Wu, Jim Paulsen and Dave Nadig on what investors should understand about valuation, index flows, disruption and market leadership.Topics Covered:Why the SpaceX IPO could test how investors think about growth, valuation and market structureCameron Dawson on what 80 to 100 times sales implies for a company as large as SpaceXThe Palantir comparison and why great growth can still get priced in too earlyKai Wu on why traditional value investing struggles in industries exposed to technological disruptionHow value investing has performed differently in exposed versus insulated sectorsJim Paulsen on the shift from Magnificent Seven leadership to small cap tech and unprofitable tech stocksDave Nadig on why SpaceX’s small free float and index inclusion mechanics could distort price discoveryWhy forced index buying, options trading and pre-positioning could make the first 30 days of SpaceX trading chaoticKai Wu on AI disruption, software stocks and why dispersion creates both opportunity and riskJim Paulsen on why the biggest stock market pressure from oil spikes may come after oil prices peakTimestamps:00:54 What surprised us most this week05:27 What 100x sales means for SpaceX investors10:52 Why value investing still works outside disrupted industries15:45 Why risky market leadership can continue longer than investors expect20:53 Why SpaceX’s low free float matters for index funds25:23 AI disruption and the opportunity in software dispersion29:23 How dispersion creates winners and destroys funds33:46 Why oil peaks can pressure the economy with a lag
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  They Lose on Purpose — And Still Come Out Ahead | The Weekly Wrap - 5/31/2026 31.05.2026 1ชม. 2นาที

  This week’s Excess Returns Weekly Wrap breaks down the best investing insights from Adam Parker, Robert Hagstrom, and Eric Crittenden. We discuss why the market may still be trading on fundamentals, why valuation alone can fail as a stock-picking tool, how modern portfolio theory changed investing, what business-driven investors can learn from Warren Buffett, and why trend following may work by providing liquidity to hedgers.Topics covered:Why the stock market may be looking through today’s headlines to future earnings and AI-driven fundamentalsAdam Parker’s argument that valuation does not work well as a standalone stock-picking signalWhy estimate revisions, earnings beats, and gross margin changes may matter more than cheap P/E ratiosRobert Hagstrom on Harry Markowitz, Benjamin Graham, and the debate over whether volatility is the same thing as riskHow modern portfolio theory shaped active management, index funds, and the way investors think about diversificationWarren Buffett’s casino and cathedral metaphor for separating stock prices from business ownershipEric Crittenden on why hedgers may willingly lose money on trades to reduce business risk and lower cost of capitalWhy trend following may earn a risk premium by providing liquidity to hedgers in their moment of needHow systematic investors should think about tinkering with models during drawdownsRobert Hagstrom’s story about Bill Ruane and the importance of finding the right clients and investorsTimestamps:00:00 Risk, valuation, and hedging in this week’s best clips04:06 Adam Parker on why the market may still be trading on fundamentals08:49 Why cheap stocks are often cheap for a reason14:37 Robert Hagstrom on Harry Markowitz and the birth of modern portfolio theory18:50 How portfolio theory became the institutional language of investing22:27 Eric Crittenden on hedgers, cost of capital, and who is on the other side of the trade27:51 Adam Parker on why firm-wide market outlooks are so hard to get right33:53 Robert Hagstrom on Buffett’s casino and cathedral metaphor39:16 Why gross margin change may be one of the most important stock-picking signals44:56 Eric Crittenden and Jason Buck on tinkering with systematic strategies49:00 Why trend following may work over the long term53:09 Robert Hagstrom on meeting Bill Ruane and learning which clients to avoid58:38 Why firing the wrong clients can strengthen an investment business
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  He Studied 100 Years of Bubbles. He Exposed Private Equity's Volatility Illusion | The Weekly Wrap 25.05.2026 1ชม. 6นาที

  This week’s Excess Returns Weekly Wrap breaks down the biggest investing lessons from our conversations with Cliff Asness, Andy Constan, Gene Munster, Doug Clinton, and Ben Carlson. Jack Forehand and Matt Zeigler discuss volatility, bubble regimes, AI infrastructure, private equity risk, investor behavior, and why doing nothing is often harder than it looks.Main topics covered:Cliff Asness on why volatility is not a perfect risk measure, but still matters for real investorsThe limits of defining risk only as permanent loss of capitalAndy Constan on why bubbles can feel low risk because they trend with low volatilityHow leverage, confidence, and investor behavior can inflate bubble regimesGene Munster and Doug Clinton on AI, electricity, data centers, hyperscaler CapEx, and energy demandWhy AI infrastructure constraints may affect whether the AI boom becomes a classic bubbleBen Carlson on Shark Week, vivid risks, and why investors often fear the wrong thingsCliff Asness on private equity, volatility laundering, and the illusion of smooth returnsAndy Constan on what active investors should do in bubble regimes and why mean reversion can failDoug Clinton and Gene Munster on AI job disruption, knowledge workers, and how to adaptBen Carlson on action bias, penalty kicks, and why doing nothing can be the hardest investing decisionTimestamps:00:00 Intro and the week’s biggest investing clips03:37 Cliff Asness on volatility, risk, and permanent loss of capital10:16 Andy Constan on why low volatility can make bubbles more dangerous20:41 Gene Munster and Doug Clinton on turning electricity into intelligence25:11 Why AI power constraints may change the bubble debate30:39 Ben Carlson on Shark Week, vivid risks, and investor attention35:44 Cliff Asness on private equity and volatility laundering43:42 Andy Constan on alpha, sizing down, and trading in bubbles50:06 Doug Clinton and Gene Munster on AI, jobs, and knowledge workers57:55 AI blind spots, token subsidies, and old tech investing frameworks59:58 Ben Carlson on penalty kicks, action bias, and doing nothing01:04:45 Quant lessons in sports, the Knicks, and closing thoughts
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  He Invested Through Five Bubbles. He Wrote the Book on Them | The Weekly Wrap - 5/17/2026 17.05.2026 1ชม. 8นาที

  This week’s Excess Returns Weekly Wrap brings together highlights from our interviews with Jeremy Grantham, Andy Constan, Edward Chancellor and Marc Rubinstein to examine AI, bubbles, private credit, market structure and the lessons of past capital cycles.We look at whether AI is creating a new investment bubble, why technological revolutions often disappoint investors even when the technology succeeds, and how private credit, financials, monopolies and market leadership fit into today’s confusing market environment.Main topics covered:• Jeremy Grantham on mean reversion, monopoly power and why the Mag 7 may have avoided normal competitive pressure• Andy Constan’s framework for bubbles, including the “something new,” escalation event and peaking phase• Edward Chancellor on AI capex, overstated demand and why boom-time profits can reverse when investment is misallocated• Marc Rubinstein on private credit, redemption gates, retail investors and why the risks may be real without being systemic• Grantham’s argument that AI may become a cost of doing business rather than a permanent boost to aggregate profits• Lessons from Long-Term Capital Management and how policy responses can add fuel to a bubble• What railway mania, canals and past technology booms can teach investors about winners, losers and overbuilding• Rubinstein’s case for European financials and why growth can be dangerous in financial services• Grantham’s bubble detector and the signal that has appeared near the tops of 1929, the Nifty Fifty, 2000 and 2021• Why investors need humility when navigating bubble regimes, AI enthusiasm, private credit and market concentrationTimestamps:00:00 Jeremy Grantham, Andy Constan and Edward Chancellor on AI, bubbles and capex01:14 Why this week’s conversations connect across AI, bubbles and market structure04:31 Jeremy Grantham on monopoly power, mean reversion and the Mag 711:24 Andy Constan’s three-stage framework for market bubbles20:12 Edward Chancellor on AI capex, overstated demand and reported profits30:28 Marc Rubinstein on private credit gates and the limits of systemic risk37:50 Jeremy Grantham on why AI may become a cost of doing business42:55 How Long-Term Capital Management helped fuel the late 1990s bubble50:02 What railways, canals and overbuilding teach us about technology booms55:58 Marc Rubinstein on European financials, innovation and US market confusion1:00:38 Jeremy Grantham’s bubble detector and the warning from market leaders1:05:59 Closing thoughts on bubble signals, investor humility and Excess Returns resources
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  The S&P 500 is Just 46 Stocks. 89% of the Economy is Flatlining | What We Learned This Week 11.05.2026 1ชม. 6นาที

  This week’s Excess Returns Weekly Wrap looks at what Ian Cassel, Chris Mayer, Jim Paulsen and Elena Khoziaeva can teach investors about stock picking skill, inflation risk, AI, software moats, small caps and market concentration. Jack Forehand and Matt Zeigler break down clips on why elite investors can be wrong almost half the time, why today may not be the 1970s or the 1990s, how AI is affecting software businesses, and why the S&P 500 may be far less diversified than investors think.Topics CoveredWhy great stock pickers can be right only 49% of the time and still generate exceptional returnsThe role of outliers, magnitude and position sizing in long-term investing successJim Paulsen’s argument that today’s inflation backdrop is very different from the 1970sHow supply shocks, tariffs, commodities and labor force growth shape the inflation outlookBridgeway’s research on redefining the small-cap premium by excluding IPOs and fallen large capsWhy vertical market software may be more resilient to AI disruption than horizontal softwareHow the AI boom and new era economy are masking weakness in the rest of the economyWhy the S&P 500 may effectively be driven by fewer than 50 stocks despite having 500 namesWhat management meetings can and cannot add to a stock picker’s processWhy patience, conviction and independent business verification may be enduring investing edgesTimestamps00:00 Intro and episode preview05:30 Why outliers drive stock picking returns09:58 Why today’s inflation may not be the 1970s17:27 Rethinking the small-cap premium24:11 AI disruption and vertical market software32:04 The AI boom versus the rest of the economy37:04 Why the S&P 500 acts like 46 stocks46:09 What investors can learn from management teams53:32 Why today’s tech boom is not the 1990s58:34 Patience, conviction and the last investing edge01:05:32 Closing thoughts and Excess Returns Substack
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  Outperformed by Mom | The Weekly Wrap – 5/2/2026 03.05.2026 1ชม. 9นาที

  This week’s Excess Returns Weekly Wrap examines what Chris Davis and Rich Bernstein can teach investors about letting winners run, inflation risk, market concentration, dividends, AI, and the difference between economic stories and investment returns. Jack Forehand and Matt Zeigler break down clips on portfolio concentration, the 1960s vs. the 1970s, investor complacency, the Fed’s inflation target, durable businesses, and where the next market opportunity may be hiding.Topics CoveredWhy letting winners run can be so powerful, but so hard for professional investorsChris Davis on how his mother outperformed by never selling great companiesThe tradeoff between concentration, diversification and real-world portfolio riskWhy Rich Bernstein thinks today may look more like the 1960s than the 1970sHow oil prices affect consumer behavior when measured against wagesChris Davis on why perceived risk can be very different from actual riskWhat cars, insurance and investor behavior reveal about market complacencyWhy the Fed’s 2% inflation target may not reflect the world investors are living inThe relationship between valuation, durability and software stocksWhy higher inflation could increase demand for dividends and near-term cash flowChris Davis on why exceptional people and management teams matter in investingWhy AI may be a great economic story but not necessarily a great investment storyTimestamps00:00 Letting winners run, 1960s inflation and investor risk perception02:18 Chris Davis on how his mother outperformed by never selling08:32 Reinvestment risk and the limits of active management12:45 Why oil shocks may matter less when gasoline is low relative to wages20:25 Chris Davis on why feeling safe can make investors take more risk29:20 Rich Bernstein on whether the Fed’s 2% inflation target is outdated34:08 Chris Davis on durability, valuation and software stocks39:39 Why cash flow gives durable companies room to adapt43:16 Rich Bernstein on dividends, inflation and the need for cash today51:55 Chris Davis on why people matter more than investors think56:07 The risk and value of investing with exceptional leaders1:01:30 Rich Bernstein on AI as an economic story vs. an investment story1:05:13 Why AI productivity may not translate into obvious stock market winners
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  We Asked David Rosenberg, Chris Bloomstran and Cameron Dawson What This Market Is Getting Wrong 26.04.2026 1ชม. 12นาที

  This week’s Excess Returns Weekly Wrap explores one of the most important questions in markets today: what’s really driving this rally, and how fragile is it beneath the surface.We break down the growing concentration in earnings, the role of passive flows, and why multiple top investors see structural risks building even as markets continue to rise.We highlight key insights from David Rosenberg, Chris Bloomstran, Cameron Dawson, Dave Nadig, and Travis Prentice on market concentration, the macro link between asset prices and the economy, and how investors should think about risk, valuations, and positioning in an environment increasingly driven by flows rather than fundamentals.Topics CoveredWhy two companies are driving a disproportionate share of earnings growth and what that means for the broader marketThe growing link between stock prices, consumer spending, and the overall economyHow passive investing is changing market structure and risk measurementThe difference between tracking error risk and real risk for long-term investorsWhy valuations matter for long-term returns but not short-term timingLessons from past technology booms and whether AI is repeating historyThe role of capital intensity and margin pressure in today’s largest companiesWhy disruption eventually impacts even the best businessesHow professional investors adjust portfolios in expensive marketsWhy understanding probabilities and multiple scenarios is critical for investingTimestamps00:00 Intro04:45 David Rosenberg on the “perma bear” label and managing tail risk09:18 Chris Bloomstran on disruption and why no company compounds forever15:40 Why the economy is increasingly tied to the stock market20:28 The savings rate, consumer spending, and hidden economic risks26:00 Passive investing, flows, and how market structure has changed31:32 Tracking error vs real risk and investor behavior37:28 David Rosenberg on probabilities and having a plan B42:26 How investors manage portfolios in expensive markets43:38 Two companies driving 50% of earnings growth49:00 Concentration vs broadening in the market55:25 Valuations, bubbles, and expected returns01:01:00 Why valuations are not a short-term timing tool01:07:00 AI investment, overcapacity, and lessons from past tech cycles01:12:30 Bull vs bear case for AI-driven growth01:18:00 Final thoughts on market structure, flows, and long-term risks
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  We Asked Liz Ann Sonders, Jim Grant, and Brent Donnelly What Investors Miss About This Market 19.04.2026 1ชม. 5นาที

  This week’s Excess Returns Weekly Wrap brings together insights from Jim Grant, Liz Ann Sonders, and Brent Donnelly to break down the biggest forces driving markets right now, including war-driven inflation, oil shocks, market resilience, and the evolving role of sentiment and policy reactions. The conversation connects macro history with real-time market behavior to help investors understand what actually matters beneath the headlines.Topics Covered:Why war has historically been one of the most consistent drivers of inflationHow oil shocks impact both inflation and economic growth simultaneouslyThe nuance behind the “US as a net energy exporter” narrativeWhy markets require a steady stream of bad news to sustain a declineHow policy reaction functions (Fed, government) shape market outcomesThe difference between structural trends and short-term shocks in tradingWhy “buy the dip” has worked—and the risks if it stops workingThe role of retail traders and short-term flows in modern market dynamicsContribution vs. price performance in the Mag 7 and S&P 500How sentiment has evolved across different investor cohorts and timeframesTimestamps:00:00 Intro and overview of this week’s guests01:03 Jim Grant on why war is inherently inflationary05:16 Historical context for inflation and wartime dynamics10:40 Liz Ann Sonders on oil shocks and stock market reactions13:11 Demand destruction and the “cure for high prices”15:57 Brent Donnelly on shocks, positioning, and mean reversion18:33 Policy reaction functions and market reflexivity21:44 Jim Grant on bubbles, technology, and the air conditioning analogy27:04 Liz Ann Sonders on buy-the-dip behavior and retail traders32:37 Why markets need sustained bad news to decline38:24 Jim Grant on trust as the foundation of credit markets41:47 Liz Ann on Mag 7 growth vs. the rest of the market46:02 Contribution vs. performance in index construction48:01 Jim Grant on inflation, oil shocks, and policy mistakes52:38 Inflation as a continuous process and purchasing power loss57:09 Liz Ann on Marty Zweig, sentiment, and modern market structure01:02:35 Final thoughts on sentiment, behavior, and market complexity
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  The Recession Signal Hidden in Walmart | The Weekly Wrap - 4/12/2026 12.04.2026 1ชม. 10นาที

  This week’s Excess Returns Weekly Wrap brings together insights from Jim Paulsen, Brent Kochuba, Anthony Wang, and Tom Hancock to break down what’s really driving markets right now—from recession signals and oil shocks to AI economics and options flows. We explore whether current conditions look more like the start of a new bull market or something more fragile beneath the surface.We dive into unique indicators like the “Walmart signal,” shifting oil/VIX correlations, the real economics behind the AI boom, and what options markets are telling us about positioning and risk.Topics Covered:The Walmart vs. luxury retail indicator and what it signals about recession riskWhy oil is no longer driving volatility the way it did earlier in the crisisHow geopolitical shocks are (and aren’t) translating into equity market stressThe role of options flows and the JP Morgan collar in shaping market movesWhy all market signals should be viewed as probabilities, not certaintiesAI and the “cost of intelligence going to zero” and what that means for productivityThe layering of AI economics and how cash flows through the systemWhy this AI cycle differs from the dot-com bubble (utilization, funding, cost curves)The importance of cash-funded capex vs. debt-driven speculationWhy low consumer confidence may actually be bullish for stocksIndicators that look more like the start of a bull market than the endThe role of sentiment, positioning, and underreaction in driving returnsTimestamps:00:00 Intro01:00 Weekly Wrap overview and guest lineup03:05 The Walmart indicator and recession signals06:20 Private credit stress vs traditional credit signals09:05 Interpreting economic indicators in context10:25 Oil and VIX correlation breakdown13:05 Why oil stopped driving volatility15:00 “Certainty about uncertainty” and market behavior16:10 AI and the collapsing cost of intelligence18:40 Agents, productivity, and the future of software21:05 AI skepticism vs long-term adoption curve22:30 AI capex, cash flow, and economic layering25:00 Why this AI cycle is more stable than dot-com27:00 Cash-funded investment vs debt-driven bubbles29:25 Bull market vs bear market signals today31:00 Consumer confidence as a contrarian indicator33:30 The role of sentiment and upside surprises34:25 The JP Morgan collar and market structure37:00 Trading probabilities vs certainty39:00 How options flows act as market “magnets”41:05 Comparing AI infrastructure to fiber buildout44:30 Utilization and demand in AI vs dot-com47:00 Network effects and scaling AI adoption01:09:30 Final thoughts and wrap-up
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  The 1 in 18,900 Bet | Practical Lessons from Michael Maboussin, Katie Stockton, Ben Hunt, Kuppy and Aahan Menon 05.04.2026 1ชม. 6นาที

  This episode of Excess Returns Weekly Wrap brings together the most important ideas from a packed week of interviews, covering AI and base rates, the Magnificent Seven, commodities, macro risks, and practical investing frameworks. Jack Forehand and Kai Wu break down key clips from Michael Mauboussin, Harris “Kuppy” Kupperman, Ben Hunt, Katie Stockton, and Aahan Menon to extract timeless lessons investors can apply across different market environments.The conversation moves from AI expectations and economic profit to geopolitical “common knowledge” moments, commodity dynamics, trend following, and the importance of thinking in probabilities and time horizons.Topics Covered:Why OpenAI’s growth expectations are historically unprecedented and what base rates actually tell usHow base rates should guide expectations without limiting outlier outcomes like AmazonWhy large companies are growing faster today and the role of intangible assets and softwareThe concentration of economic profit in the Magnificent Seven and what it implies for valuationsWhy long-term time horizons create a structural edge in investingThe concept of “common knowledge” and how it reshapes markets during geopolitical eventsWhere AI value will accrue: companies vs consumers vs suppliersWhy commodities behave differently from stocks and bonds during supply shocksHow trend following works and why commodities are uniquely suited to itWhy investing is a probabilities game and how to manage uncertainty and position sizingHow technical indicators like the 200-day moving average should actually be usedTimestamps:00:00 Intro and overview of Weekly Wrap format00:02:05 Michael Mauboussin on OpenAI growth and base rates00:06:18 Why base rates matter but don’t define outcomes00:09:50 Why large companies are growing faster than history suggests00:14:58 Kuppy on time horizons and avoiding short-term noise00:19:15 Ben Hunt on “common knowledge” and the Strait of Hormuz00:24:13 AI value accrual and consumer surplus vs company profits00:28:10 Commodities, backwardation, and why price trends differ from equities00:32:45 Trend following and why commodities exhibit stronger trends00:34:41 Investing as a game of probabilities and decision-making under uncertainty00:41:58 Katie Stockton on the 200-day moving average and technical signals00:46:20 Breadth, trend signals, and how technicals inform risk management00:50:30 Position sizing, uncertainty, and diversification frameworks00:55:40 Revisiting the Magnificent Seven and intangible assets00:59:00 Trend following frameworks and portfolio constructionCheck out the full episode and all of our interviews from this week on the Excess Returns YouTube channel and podcast platforms.