
Excess Returns
by Excess Returns
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The S&P 500 Is Only 50 Stocks. 70% of the Index Is in a Correction. Did the Sell-Off Already Happen?
Oct 18, 2026
1h 03m 04s
We Asked T. Rowe Price's $17B International Manager Why Value is Winning Again — and What the S&P 500 Leaves Out
Oct 17, 2026
1h 02m 34s
Tech Is Rolling Over. Yields Are Falling. Why Jim Paulsen is Watching the Walmart Recession Signal
Oct 16, 2026
1h 03m 01s
AI Productivity Is Real. 83% of Stocks Are 10% Off Highs. Why Does Barry Ritholtz Like Bonds Again?
Oct 14, 2026
1h 06m 53s
The Winners That Get Away | Chris Davis and Robert Hagstrom on Holding Great Businesses
Oct 11, 2026
1h 14m 21s
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- 🇺🇸United States · InvestingHOME#9219K to 102K
- 🇮🇳India · Investing#463.4K to 18K
- 🇰🇷South Korea · Investing#361.9K to 10K
- 🇬🇧United Kingdom · Investing#901.4K to 7.5K
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57K to 303K
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/18/26 | The S&P 500 Is Only 50 Stocks. 70% of the Index Is in a Correction. Did the Sell-Off Already Happen? | Paisley Nardini of Tema ETFs explores AI investing, S&P 500 concentration, and how to build a portfolio around changing market risks. How can investors participate in powerful growth trends without making every holding a bet on the same outcome?In this episode of Excess Returns, Paisley joins Jack Forehand and Justin Carbonneau to discuss the risks beneath a resilient stock market, why tomorrow’s AI winners may differ from today’s leaders, and where she sees opportunities in power and infrastructure. They also explore private-company exposure inside ETFs, the role of thematic funds alongside a passive core, and why knowing what you own matters more than the number of holdings in your portfolio.Topics covered:What weak market breadth reveals beneath the headline indexesInterest rates, midterm elections, and the limits of historical market patternsPrediction markets as a source of information for investorsAI earnings expectations, debt financing, and the risk of slowing growthWhy bonds can provide income without reliably offsetting equity riskSmall-cap profitability and the importance of quality screensAI bottlenecks, photonics, power demand, and infrastructure investmentPrivate-company exposure in ETFs: liquidity, fees, and investment rationaleUsing thematic strategies as satellite positions around a passive corePortfolio concentration, investment humility, and staying flexibleLearn more about Tema ETFs.Follow Paisley Nardini on X.Timestamps:00:00 Introduction and the risks beneath the market04:37 Higher rates and the midterm election outlook09:17 What investors can learn from prediction markets13:36 AI growth expectations and changing market leadership19:50 Portfolio risk, bonds, and faster market drawdowns26:09 The AI bubble debate and small-cap quality33:45 Who benefits from AI beyond the hyperscalers?39:29 Energy infrastructure and putting AI to work45:54 Private-company exposure inside ETFs52:01 Where thematic investing fits in a portfolio58:32 Commodities, S&P 500 concentration, and humility Learn more about the Excess Returns podcast network: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. | 1h 03m 04s | ||||||
| 10/17/26 | We Asked T. Rowe Price's $17B International Manager Why Value is Winning Again — and What the S&P 500 Leaves Out | Colin McQueen of T. Rowe Price explains what is changing for international value stocks and how he separates cheap businesses from opportunities that can improve. Higher interest rates, industrial investment, and corporate reform are reshaping the opportunity set, but his process still starts with free cash flow and the price investors pay for it.Colin joins Justin Carbonneau and Jack Forehand to discuss his evolution from deep value investing to a broader approach that includes quality businesses and restructuring opportunities. We explore why value struggled in the 2010s, what has changed outside the US, and how he uses valuation signals and diversification to manage risk.The conversation also covers AI suppliers and disruption, governance changes in Japan and Korea, opportunities and risks in China, and the case for financial stocks. Colin shares examples involving Samsung, Hitachi, and Rolls-Royce, along with his experiments using AI to challenge investment theses and recognize when conviction has become stubbornness.Topics covered:The lessons Colin McQueen learned from deep value, quality investing, and a difficult decade for valueHow higher rates and spending on infrastructure, defense, and power can change the opportunity setAI supply-chain opportunities and the uncertainty around future winners and losersValuing tangible and intangible businesses through normalized free cash flowUsing AI as an alternative voice when deciding whether an investment thesis is brokenThe US-international valuation gap, earnings growth, and diversification beyond techJapan's corporate reforms, Korea's value-up effort, and the importance of what is already priced inChina's contrarian appeal and the governance risks that accompany itHow restructuring, management changes, and better capital allocation can unlock valueBuilding a diversified portfolio and looking beyond quarterly earnings and market narrativesT. Rowe Price International Value Fundhttps://www.troweprice.com/financial-intermediary/us/en/investments/mutual-funds/us-products/international-value-equity-fund/advisor-class.htmlTimestamps:00:00 Colin McQueen's evolution as a value investor07:04 Why deep value struggled in the 2010s11:20 Higher rates and a more balanced opportunity set16:20 International value, financials, and AI suppliers21:20 AI versus the dot-com era and managing valuation risk25:27 Free cash flow, restructuring, and AI-assisted research29:56 Comparing US and international valuations35:39 The risk dashboard and changing European markets40:00 Corporate reform and opportunities in Japan and Korea44:57 China, Asia ex Japan, and financial stocks49:31 Global connections and why a stock market isn't an economy54:55 Diversification and researching corporate turnarounds59:57 Looking beyond quarterly earnings and extreme narratives Learn 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. | 1h 02m 34s | ||||||
| 10/16/26 | Tech Is Rolling Over. Yields Are Falling. Why Jim Paulsen is Watching the Walmart Recession Signal | Jim Paulsen sees a risk of a stock market correction as financial conditions tighten and investors grow comfortable with tech's long run of leadership. But his warning does not require a recession or the end of the bull market.In this month's Jim Paulsen Show, Jim joins Justin Carbonneau and Jack Forehand to walk through the charts behind his cautious outlook. He explains how rising yields, oil prices, and a firmer dollar can affect the economy with a lag, why favorable seasonality may offer less support than investors expect, and how a slowdown in technology spending could challenge market leadership.We also explore the signals Jim sees in retail, housing, employment, and Walmart's relative performance. He closes with a possible path through a correction: slowing growth, lower inflation and yields, and a recovery that could give the bull market another run. His seven lagging sectors, the "Modest Seven," are central to that case.Topics covered:Why Jim Paulsen is cautious without making a recession or full bear-market callHis financial-conditions gauge and the risks of tightening into an already pressured economyHow restrictive conditions can weaken the November-to-April seasonal advantageThe delayed effects of bond yields, oil prices, and the dollar on economic surprisesTechnology spending relative to GDP and why slower growth could matter for tech stocksAI adoption, pricing, and the challenge of turning investment into profitsHow two decades of tech leadership may encourage complacency and crowded positioningThe divide between AI, inflation-assisted sectors, and the "Modest Seven"What sector performance, bond yields, and the Walmart Recession Signal suggest about growthWhy rate cuts may initially accompany falling stocks, and how a correction could set up another advanceFollow Jim Paulsen:Paulsen PerspectivesJim Paulsen on XTimestamps:00:00 Jim Paulsen's outlook: correction risk without a bear-market call07:41 Restrictive conditions and the seasonal buying period14:12 Why the Fed and investors interpret conditions differently20:28 Oil, yields, the dollar, and their lagged effects26:00 Technology spending relative to the economy30:18 Can AI break the historical pattern?35:00 Tech's long leadership cycle and investor complacency42:00 AI, inflation-assisted sectors, and the Modest Seven47:06 Market signals ahead of economic reports and bond pressure53:00 Bond competition and the Walmart Recession Signal58:11 How a correction could lead to another bull-market run Learn 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. | 1h 03m 01s | ||||||
| 10/14/26 | AI Productivity Is Real. 83% of Stocks Are 10% Off Highs. Why Does Barry Ritholtz Like Bonds Again? | Barry Ritholtz, Dave Nadig and Matt Zeigler explore why AI's real productivity gains don't automatically translate into an investing edge. From stock picking and market concentration to the financing behind the AI buildout, they separate enthusiasm for the technology from the economics of owning it.Subscribe to Click Beta on SpotifySubscribe to Click Beta on Apple PodcastsIn this episode of Click Beta, Barry Ritholtz and Dave Nadig join Matt Zeigler for a conversation about where AI is already changing their work and where investors should ask harder questions. Barry shares how his team uses AI to analyze portfolio drift and identify clients who may need a rebalance. The discussion also covers client relationships, consumer pricing, creative side projects, and why Barry is increasingly enthusiastic about bonds without calling an end to the equity bull market.Topics covered:Why widely available AI tools may improve research without creating a lasting stock-picking advantageMarket breadth, mega-cap concentration, and the potential impact of large tech IPOsData center financing, credit quality, and the risk of rapid technological changeBarry Ritholtz's use of AI to analyze allocation drift, taxes, and household circumstancesHow better meeting records can strengthen the human side of financial adviceLearning to collaborate with AI and asking better questionsThe debate over dynamic pricing, consumer data, and whose interests AI agents serveBaseball tools, astronomy dashboards, music discovery, and the joy of experimentingDeciding which tasks to automate and which activities are worth doing yourselfBarry Ritholtz's case for bonds, municipal income, and avoiding the reach for yieldFind our guests:Barry Ritholtz — The Big Picture - https://ritholtz.comRitholtz Wealth Management - https://www.ritholtzwealth.comBarry Ritholtz on X - https://x.com/RitholtzDave Nadig's work at etf.com - https://www.etf.comDave Nadig on X - https://x.com/DaveNadigTimestamps:00:00 Meet Click Beta: AI and the stock-picking question05:14 AI concentration and market breadth10:08 Tech IPO valuations and data center financing15:22 Barry Ritholtz: AI and portfolio rebalancing analysis20:58 Can AI improve the human side of financial advice?25:49 Better client questions and better prompts30:13 The AI imagination gap: collaboration versus search36:48 Dynamic pricing and the consumer-retailer arms race41:26 Consumer data and the incentives behind AI agents45:54 Astronomy, music, and testing your assumptions51:18 Automating busywork to make room for curiosity55:39 Creative experiments and choosing what to automate01:00:11 Why Barry Ritholtz is excited about bonds01:04:37 Bonds versus equity income and closing thoughtsLearn 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. | 1h 06m 53s | ||||||
| 10/11/26 | The Winners That Get Away | Chris Davis and Robert Hagstrom on Holding Great Businesses | Chris Davis and Robert Hagstrom explore the tension between holding great businesses and keeping a winning stock from becoming too much portfolio risk. Why do two investors who believe in letting winners compound also use 10% position limits?On this episode of 100 Year Thinkers, Chris Davis of Davis Funds and Robert Hagstrom of EquityCompass join Matt Zeigler and Bogumil Baranowski to discuss position sizing, selling mistakes, index concentration and the cost of growth. From Chris Davis’s experience selling Costco to the debate over who will capture AI’s economic benefits, they examine what it takes to hold a business through uncertainty without ignoring risk. Stay for Matt and Bogumil’s closing discussion of the lessons for investors.Subscribe to the 100 Year Thinkers of SpotifySubscribe to the 100 Year Thinkers of AppleTopics covered:Why selling a genuinely great business can be an investor’s most expensive mistakeHow client behavior and fund constraints influence 10% position limitsChris Davis’s concerns about index concentration, momentum and future IPO incentivesRobert Hagstrom on trimming positions as the margin of safety shrinksThe bull-case pre-mortem: asking what could make selling today a mistakeWhat Chris Davis missed about Costco’s growth and ability to adaptWhy identical earnings growth can produce different shareholder returnsWhether AI spending builds durable pricing power or delivers more value to usersHow customer trust and restraint on margins can strengthen competitive advantagesBalance sheets, circular financing and the humility required to size a positionChris Davis / Davis FundsRobert Hagstrom / EquityCompassChapters:00:00 Holding great businesses and the case for position limits06:47 Robert Hagstrom on concentration and client risk12:40 Index concentration, momentum and IPO incentives19:03 Trimming winners, margin of safety and the Costco lesson30:09 Valuation, return on capital and the cost of growth36:01 Is AI’s capital spending cycle temporary?40:10 AI pricing power: builders versus users45:35 Competitive advantage, margins and customer trust51:45 Balance sheets and circular AI financing55:53 Evaluating the AI investment cycle01:00:23 Matt and Bogumil’s takeaways: position sizing and AI01:10:25 Being an AI user versus an AI investor Learn more about the Excess Returns podcast network.No 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. | 1h 14m 21s | ||||||
| 10/8/26 | Katie Stockton Still Sees a Bull Market. So Why Is Her ETF Only 50% in Stocks? | Katie Stockton of Fairlead Strategies explains why the S&P 500 can reach record highs while many individual stocks struggle. She sees the bull market as intact, but weaker participation raises an important question for diversified investors: is the pullback creating opportunity, or signaling a more lasting change?In this episode of Excess Returns, Katie Stockton joins Matt Zeigler and Justin Carbonneau to examine market breadth, rising Treasury yields, sector leadership and the signals that would change her outlook. She also explains why the Fairlead Tactical Sector ETF holds roughly half its assets in equities at the time of the conversation, and walks through the charts for gold, oil and Bitcoin.Topics covered:Why narrow leadership can sustain the index while diversified portfolios lagThe difference between an overbought market and a downturn in momentumWhy weak breadth alone is not a reliable market-timing signalSmall-cap support levels and the difference between a relief rally and a lasting recoveryThe Treasury-yield breakout and credit spreads as a longer-term risk gaugeSector relative strength, technology leadership and international market concentrationHow the TACK ETF's rules-based approach produces more defensive positioningGold's role as a potential hedge despite a weakening price trendCrude oil's support and resistance levels and Katie Stockton's Bitcoin outlookThe BNAV ETF's tactical Bitcoin strategy and the risk signals to watch into year-endLearn more about Fairlead Strategies.Follow Katie Stockton on X.Chapters:00:00 The bull market and weakening breadth06:02 Narrow leadership and small-cap weakness13:43 Treasury yields, breakouts and resistance18:56 Credit spreads and sector leadership24:53 TACK positioning, semiconductors and international stocks30:22 Gold, oil and Bitcoin: reading the trends35:30 Bitcoin indicators and the BNAV strategy39:47 Credit, volatility and tech: the year-end risk watch Learn more about the Excess Returns podcast network.No 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. | 41m 55s | ||||||
| 10/7/26 | Tom Maher on Small-Cap Investing, AI Infrastructure and Opportunities Beyond Big Tech | Tom Maher of Hilton Capital Management explains what is changing for small-cap stocks as earnings improve and AI spending reaches beyond big tech. After years of justified large-cap leadership, he sees reasons to revisit smaller companies while remaining selective about business quality, financing needs and valuation.In this episode of Excess Returns, we explore the physical infrastructure behind AI, the case for diversifying beyond the largest stocks, and how Tom Maher finds businesses with improving fundamentals. We also discuss the effects of passive investing, opportunities in reshoring, and why knowing more about a company does not always lead to a better investment decision.Topics covered:Why stronger earnings helped justify large-cap leadership and what could change that balanceHow AI construction and equipment spending can benefit smaller industrial companiesWhy some small companies grow into large caps while others remain smallSelf-funding businesses versus companies that depend on outside capitalUnprofitable index constituents, private equity and the changing IPO marketHow interest rates affect financing costs, valuations and portfolio decisionsWhy ETF flows can move a stock independently of its business fundamentalsFinding improving businesses without mistaking a low valuation for an opportunityEvaluating management incentives, consistency and acquisition decisionsTom Maher's lessons on taking partial profits and reading unexpected stock-price reactionsLearn more about Hilton Capital Management.Chapters:00:00 Tom Maher's outlook: earnings, valuations and risk05:26 Small-cap earnings and AI infrastructure spending11:41 Defining small caps and why some companies stay small16:45 Active management and business quality22:03 Small-cap index quality and companies staying private27:15 Combining stock selection with a macro view32:58 Higher interest rates and portfolio decisions37:04 Passive investing and ETF-driven stock moves41:33 Finding stocks with improving fundamentals51:13 Valuation, consistency and management quality56:39 Reshoring and the industrial recovery01:01:14 Research, profit-taking and investor expectations Learn more about the Excess Returns podcast network.No 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. | 1h 05m 52s | ||||||
| 10/4/26 | Ed Yardeni Still Sees S&P 10,000 by 2029. So Why Is He Getting More Cautious? | Ed Yardeni of Yardeni Research explains why he still sees the S&P 500 reaching 10,000 by 2029, even as higher oil prices and bond yields make him more cautious near term. His destination hasn't changed, but the timetable has: he has pushed his 8,400 target to mid-2027 while retaining his Roaring 2020s outlook.In this conversation with Justin Carbonneau and Jack Forehand, Ed distinguishes an earnings-led bull market from a speculative melt-up, explains why retiring baby boomers keep spending, and makes the case for AI's benefits spreading beyond the Magnificent Seven. He also weighs the return of the bond vigilantes, diesel's inflation impact, global diversification and the risks that could challenge his optimistic base case.Topics covered:Ed Yardeni's FEMO: fabulous earnings momentum versus fear of missing outWhy strong earnings can support stocks even as valuation multiples fallThe assumptions behind Ed Yardeni's S&P 500 target of 10,000 by 2029Retiree wealth, consumer spending and Ed Yardeni's G-shaped economyAI, productivity and data as a fourth factor of productionWhy Ed Yardeni favors the “impressive 493” as potential AI beneficiariesCloud revenue, compute demand and the returns on AI capital spendingBond vigilantes, fiscal deficits and the difference between growth-driven yields and a debt crisisHow diesel costs could feed into core inflationGlobal diversification and the bond market's role in guiding Fed policyChapters:00:00 Ed Yardeni's bull case and near-term caution04:26 The Roaring 2020s and retiree spending08:53 Technology and the productivity thesis13:06 AI, economic growth and data as a resource18:22 Why the economy is more than AI spending24:10 AI returns and the impressive 49329:48 Valuations, S&P 10,000 and rising bond yields38:42 Government debt and demand for Treasuries43:34 Diesel inflation and global diversification47:41 Fed policy and signals from the bond market51:55 Yardeni Research's process and tools56:19 Why Ed Yardeni favors a G-shaped economyLearn more about the Excess Returns podcast network:https://excessreturns.co | 59m 22s | ||||||
| 10/3/26 | The 10-Year Hit a 24-Year High. Nobody Is Buying Puts. Are You Watching the Wrong Market? | Andy Constan, Brent Kochuba and Eric Pachman examine rising bond yields, options positioning and the inflation risks facing stocks. What happens if the rate relief traders are betting on never arrives?On this month's Last Call, Jack Forehand and Matt Zeigler connect three perspectives on the market. Andy Constan explains why stronger growth and debt supply can push yields higher without signaling a bond crisis. Brent Kochuba examines options flows that suggest traders are still leaning toward a rebound. Eric Pachman traces the path from refinery constraints and diesel shortages to freight costs and consumer inflation. Jack and Matt close with the investment implications of AI spending, efficiency and adoption.Follow Last Call on SpotifyFollow Last Call on Apple PodcastsTopics covered:Andy Constan on growth, AI capital spending and the supply of debtWhy Andy Constan sees more attractive bonds without calling for a recessionHow higher yields can constrain stock returns even when growth remains strongBrent Kochuba on bond volatility, calm equities and bets on falling yieldsWhy Brent Kochuba is watching both upside surprises and downside riskEric Pachman on crack spreads and why cheaper crude may not mean cheaper fuelHow diesel prices can flow through freight bills into CPIEric Pachman on wage inequality and what national averages missAI spending, productivity and the difference between slower growth and contractionThe practical obstacles to bringing AI agents into everyday lifeChapters:00:00 Rising yields and the outlook for stocks05:26 Andy Constan: Growth, debt supply and higher yields12:01 Why bonds look more attractive after the selloff18:33 Brent Kochuba: Options flows and bets on rate relief23:21 Equity complacency and risks in both directions31:12 Eric Pachman: Diesel shortages, crack spreads and inflation40:06 Wage inequality and the limits of average inflation44:40 AI capital spending, productivity and investment returns50:34 AI adoption, automation and everyday obstaclesLearn 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. | 56m 04s | ||||||
| 10/1/26 | They Beat All US Stock Funds Since 2003 | Michael Baron on the AI Winners Investors Miss | Michael Baron of Baron Capital explains his case for AI beneficiaries beyond the biggest tech stocks, including software companies the market fears will be disrupted. He joins Matt Zeigler and Justin Carbonneau to discuss how competitive advantages, management quality, and a long investment horizon shape the firm's growth portfolios.Baron Capital's co-president and portfolio manager walks through the firm's investments in Tesla and SpaceX, from vertical integration and autonomous driving to reusable rockets, Starlink, and the potential for AI infrastructure in space. He also explains why proprietary data may strengthen some software businesses, how the firm manages positions as winners grow, and what would make him sell. The conversation closes with lessons from Ron Baron on curiosity, primary research, and building conviction.Topics covered:Finding growth opportunities across technology, financial services, real estate, and consumer businessesWhy Michael Baron believes some apparent AI losers could become beneficiariesProprietary data and the investment cases for Shopify, Guidewire, FactSet, MSCI, and GartnerTesla's evolution, energy business, and the potential economics of autonomy and softwareSpaceX's reusable rockets, Starlink, and Michael Baron's vision for AI infrastructure in spaceValuing businesses over a long horizon and assessing reliance on key leadersLessons from Ron Baron and the importance of management relationships during market stressLetting winners run while managing concentration, leverage, and portfolio correlationsDistinguishing portfolio trims from selling when a competitive advantage deterioratesWhy Michael Baron believes AI will increase the importance of investment judgmentLearn more about Baron Capital:https://www.baroncapitalgroup.com/Chapters:00:00 Michael Baron on finding growth beyond technology04:16 AI disruption and the opportunity in software10:54 Tesla, Elon Musk, and vertical integration18:33 Long-term valuation and key-person risk23:28 SpaceX, Starlink, and AI infrastructure in space34:11 Lessons from Ron Baron and the firm's future40:08 Evaluating management and competitive advantages47:11 Time as an edge and managing growing positions54:11 When to trim a position and when to sell58:11 Curiosity, primary research, and convictionLearn 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. | 1h 02m 17s | ||||||
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| 9/29/26 | The Game Was Rigged in Their Favor. 28% Went Bust Anyway | Kris Abdelmessih on How to Size Bets | How much of your portfolio does a good investment idea deserve? Kris Abdelmessih of Moontower joins Matt Zeigler to explain why having an edge is only part of the decision: position size can determine whether favorable odds translate into long-term growth or damaging losses.Through a coin-flipping experiment and everyday examples, Kris makes the Kelly Criterion accessible without a complicated derivation. The conversation explores the difference between expected returns and compounded wealth, why growth-maximizing bets can still be uncomfortable, and how uncertain probabilities make a case for betting less. From portfolio decisions to insurance and extended warranties, the goal is to build better intuition about how much risk to take.Topics covered:How a favorable coin-flipping game exposed costly mistakes in bet sizingWhy maximizing the expected payoff of one bet differs from maximizing long-term compounded growthHow oversized bets can undermine an otherwise profitable opportunityThe Kelly Criterion's three inputs: probability of winning, probability of losing, and payoffWhy a constant percentage of your bankroll means changing the dollar amount after wins and lossesHow different payoffs change the appropriate size of a betApplying the framework to hypothetical self-insurance and extended-warranty decisionsWhy full Kelly can involve substantial drawdowns, and the tradeoffs of fractional KellyWorking backward from a position size to the odds needed to justify itAllowing for uncertainty in your estimates and preserving capital for future opportunitiesThe essay behind this conversation:After this post you will be sizing bets in your headhttps://www.panoptica.com/after-this-post-you-will-be-sizing-bets-in-your-head/Research discussed:Rational Decision-Making Under Uncertainty: Observed Betting Patterns on a Biased Coinhttps://arxiv.org/abs/1701.01427Kris Abdelmessih's Moontower newsletter:https://moontower.substack.com/Moontower:https://moontower.ai/Kris Abdelmessih on X:https://x.com/KrisAbdelmessihChapters:00:00 Position sizing and the favorable coin-flip experiment04:45 Why a good bet can produce bad outcomes13:49 The Kelly Criterion formula explained18:10 Adjusting your bankroll and accounting for the payoff23:03 Applying Kelly to a self-insurance decision30:25 Full Kelly, drawdowns, and reasons to bet less34:59 Working backward from bet size and evaluating warranties41:09 Volatility drag, uncertain odds, and the experiment's results46:09 How much capital does your edge deserve?Learn 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. | 50m 10s | ||||||
| 9/26/26 | We Asked the Data Journalist Who Rebuilt the Jobs Report What the Headline Number Hides | What are headline jobs and inflation numbers missing about the economy investors actually face? Eric Pachman of Data 4 The People joins Matt Zeigler to examine how a changing workforce, rising fuel costs, and differences in household spending could affect inflation, consumer demand, and corporate margins.Using interactive data tools, Eric looks beneath monthly payroll reports, maps changes in America's labor force, and traces how diesel prices can work their way into retail prices. He also shares a grocery-price study that challenged his own assumptions about CPI and explains how he is using AI to make rigorous data journalism more accessible.Topics covered:Why monthly jobs reports need context, including survey uncertainty and revisionsHow to spot unusual industry-level payroll changes and assess the quality of jobs addedWhat county-level labor force trends reveal about aging and rural AmericaEric Pachman's research on foreign-born workers and the limits of replacement assumptionsHow a shrinking supply of workers could create pressure on service pricesHow diesel costs flow through freight surcharges, retailer margins, and consumer pricesWhat to watch for in retailer earnings calls as companies weigh price increasesWhy household income, driving habits, and spending patterns change the experience of inflationWhat Eric Pachman's Kroger study found about CPI, the Thrifty Food Plan, and store brandsUsing AI to test assumptions and expand access to data journalismExplore Eric Pachman's research and interactive tools:https://www.data4thepeople.com/The Men Who Vanished: Testing Labor Market Displacementhttps://www.data4thepeople.com/p/the-men-who-vanishedHow do the government's grocery prices stack up against the real ones?https://www.data4thepeople.com/p/kroger-shelf-vs-cpi-thrifty-food-plan/Chapters:00:00 Introduction and Data 4 The People's mission09:20 Spotting unusual changes in the jobs data18:27 Mapping America's changing labor force27:00 Foreign-born workers, aging, and labor supply34:51 Energy costs and the path to consumer inflation47:49 Why your inflation experience differs from CPI56:12 Personal inflation tools and testing grocery prices1:02:36 AI, data journalism, and challenging your own bias1:11:17 Where to find Eric Pachman's work and toolsLearn 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. | 1h 13m 43s | ||||||
| 9/23/26 | He Lost $157,000 in 3 Minutes | Jack Raines on the Lesson Winning Never Taught Him | Jack Raines turned $6,000 into roughly $400,000 trading SPACs, then lost $157,000 in three minutes after taking a very different bet. The author of Young Money joins Matt Zeigler to discuss what that experience taught him about investing risk, the urge to chase more, and the time a growing portfolio can cost you.The conversation follows Jack Raines from SPAC warrants and market narratives to a broader question: how do you allocate money, time, and risk to build a life you actually want? They explore the limits of a trading edge, why cheap stocks can get cheaper, and how debt, career choices, and status shape the decisions investors make beyond their portfolios.Young Money: A Field Guide to Wealth and Purpose in Your Twentieshttps://amzn.to/4AtUsDoJack Raines' Young Money newsletterhttps://www.youngmoney.co/Jack Raines on Xhttps://twitter.com/Jack_RainesTopics covered:How Jack Raines grew his Roth IRA through SPAC warrants and pre-merger common shares, and why those positions carried different risks.Why an edge in one corner of the market did not translate into a successful concentrated earnings bet.How a million-dollar target and constant account checking changed Jack Raines' relationship with money and time.What SEC filings, Discord research, and market narratives contributed to his trading process.Why Jack Raines bought Figma after questioning the market's AI narrative and speaking with designers.Applying portfolio thinking to careers, creative projects, and opportunities that change with each stage of life.Weighing retirement saving against other opportunities, and why Jack Raines treats expensive debt as a constraint on taking risks.Escaping the "someday" trap while giving long-term venture investments time to develop.Combining steady income and index funds with independent bets, while treating status as a tool rather than a goal.Why Jack Raines believes investors learn about risk through experience, with stakes they can afford to recover from.Timestamps:00:00 Jack Raines on the lessons of losing money04:57 Inside the SPAC trades and the $157,000 loss15:16 Separating market hype from downside math22:18 Building a life with portfolio principles29:45 Retirement saving, trading obsession, and the cost of time36:56 Debt, freedom, and the trap of waiting for someday44:33 Venture investing: acting quickly and waiting patiently51:03 Using status without making it the goal56:08 The investing lesson experience has to teachLearn 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. | 59m 31s | ||||||
| 9/20/26 | The AI Gap Is Closing | Jason Hsu on China, Momentum Crashes and the S&P’s Seven-Stock Bet | Jason Hsu, founder and CIO of Rayliant Global Advisors and co-founder of Research Affiliates, joins Excess Returns to discuss the US-China AI race, the economics of AI spending, and what market concentration means for investors. We explore China's energy and open source advantages, opportunities in Chinese stocks, and how factor investing and machine learning can help build more diversified portfolios.Rayliant Global Advisorshttps://rayliant.comRayliant on Xhttps://twitter.com/rayliantTopics covered:Why Jason believes AI safety requires cooperation between the US and ChinaHow Chinese AI models are closing the gap with US developersChina's electricity infrastructure and the competitive threat from open source AIWhere AI profits could accrue across hardware, energy, models and applicationsHow chip restrictions are encouraging China to develop domestic capabilitiesWhy retail trading creates opportunities and challenges for factor investors in ChinaChinese technology companies, dividend-paying state enterprises and US-China tradeThe AI spending arms race and the concentration risk facing S&P 500 investorsMomentum crashes, value cycles and how Rayliant uses machine learning to combine factorsWhy advisors' greatest contribution may be helping clients find meaning in their wealthTimestamps:00:00 Jason Hsu on AI competition and safety04:00 How close are Chinese AI models to the US?08:25 China's energy advantage and open source economics14:12 Who captures AI profits, and can China catch up in chips?18:41 Chinese stocks, retail trading and speculation24:01 China's overlooked opportunities and dividend stocks28:05 US-China interdependence and the AI spending arms race33:24 The AI concentration hiding in the S&P 50037:25 Momentum crashes, value cycles and factor performance41:54 Machine learning and building multifactor portfolios48:46 Financial advisors, Jack Bogle and having enough53:23 Why inefficient markets do not make alpha easyLearn 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. | 55m 22s | ||||||
| 9/18/26 | David Rosenberg on Why He Wants the Bonds Everyone Hates — and Where He's Hiding in Stocks | David Rosenberg returns to Excess Returns to explain his bullish case for Treasury bonds, why he expects inflation and economic growth to slow, and the risks he sees in an AI-driven stock market. The Rosenberg Research founder joins Matt Zeigler to discuss consumer spending, Federal Reserve policy, gold, international stocks, and how he translates his economic outlook into a diversified portfolio.Recorded September 16, 2026, before the Federal Reserve's policy announcement.David Rosenberg on Twitterhttps://twitter.com/EconguyRosieRosenberg Researchhttps://www.rosenbergresearch.com/Topics covered:Why Rosenberg believes markets have priced in too much Fed tightening and Treasury bonds offer an opportunityWhy he views higher oil prices as a tax on consumers rather than evidence of sustained, broad-based inflationHow slowing wage growth, falling savings, and the stock market wealth effect shape consumer spendingHow Treasury issuance changes and potential post-election fiscal gridlock could support bondsWhy AI exposure extends beyond technology stocks into utilities, industrials, and other sectorsWhere he sees opportunities in healthcare, consumer staples, pipelines, European stocks, and AsiaHis model portfolio's allocation to equities, bonds, cash, and commoditiesHow gold, central bank buying, and a bearish dollar outlook fit his investment thesisWhy he is positioning for slower growth without making recession his base caseWhat working with portfolio managers taught him about cutting losses and separating conviction from stubbornnessTimestamps:00:00 Rosenberg's portfolio approach and the Treasury opportunity05:58 Why an oil shock can weaken consumer spending10:52 Jobs, wages, and the stock market wealth effect17:35 Fiscal stimulus, Treasury issuance, and the bond outlook22:53 AI concentration risk beyond technology stocks27:10 Why he owns European and Asian equities31:16 Inside his 50% stocks, 30% bonds model portfolio36:43 Betting against the inflation consensus42:41 Gold, central bank reserves, and a weaker dollar48:56 Recession watch and bear market risks for 202753:10 AI correlations and the risks of being fully invested58:27 Cutting losses and knowing when conviction becomes stubbornnessLearn 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. | 1h 01m 06s | ||||||
| 9/16/26 | Franklin Templeton CEO Jenny Johnson on AI, Private Markets, and the Hidden Risks in Index Funds | Franklin Templeton CEO Jenny Johnson joins Matt Zeigler to explore how AI, blockchain tokenization, and private markets are reshaping investing and asset management. They discuss what these changes mean for individual investors, from personalized portfolios and access to private companies to the concentration risks hiding in passive index funds. Jenny also shares lessons from her journey from intern to CEO, why financial advisors still matter, and why starting early remains her most important investing lesson.Franklin Templetonhttps://www.franklintempleton.comTopics covered:Why AI could create new industries and why learning to use it matters for young professionalsHow Franklin Templeton uses AI agents and why investment decisions still require human judgmentBuilding personalized portfolios around retirement, college savings, and other financial goalsHow blockchain, smart contracts, and instant settlement could reduce financial transaction costsTokenized money market funds, digital wallets, and the obstacles to bringing ETFs on-chainWhy companies stay private longer and what investors miss when they only own public stocksPrivate credit, illiquidity, and the trade-offs involved in expanding access to private marketsHow mega IPOs, AI spending, and changing index composition can increase portfolio concentrationBalancing shareholders, employees, and clients while investing in a company's long-term futureThe value of financial advisors, staying invested, and giving compounding time to workTimestamps:00:00 Jenny Johnson's leadership lessons and path from intern to CEO06:41 AI job disruption and lessons from earlier technology revolutions10:42 How young analysts use AI and where personalized investing is heading15:44 Human judgment, AI agents, and the future of asset management20:17 How tokenization could lower costs and expand financial access24:39 Why blockchain adoption is slow and how tokenized ETFs work29:58 Private company growth, investor access, and liquidity trade-offs35:20 Mega IPOs, index concentration, and the risks of AI spending41:23 Franklin Templeton's family legacy and investing for the next generation46:18 Why financial advisors matter and why investors should start early51:32 Jenny's hands-on experiments with AI toolsLearn 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. | 55m 57s | ||||||
| 9/14/26 | Jim Paulsen on the Weakening Economy, Tech Bear Market Risk and the Bull Market Built on Fear | Jim Paulsen joins Jack Forehand and Matt Zeigler on the latest Jim Paulsen Show to explore why booming AI earnings may be masking a weakening U.S. economy, and what that means for stocks, bonds, and Federal Reserve policy. Using 27 charts, he examines stalled job creation, rising oil prices, growing reliance on debt to finance AI investment, and why he expects a sharper correction in technology than in the broader S&P 500.Subscribe to the Jim Paulsen Show on SpotifySubscribe to the Jim Paulsen Show on Apple PodcastsTopics covered:Why strong S&P 500 earnings hide a widening divide between technology, energy, and the remaining seven sectors.Why low unemployment claims may offer false comfort when job creation has stalled.Jim's job market misery index and what it suggests about the case for Fed easing.How business investment and employment have broken their historical relationship.Why weak real disposable income, low savings, and higher oil prices threaten consumer spending.How fading economic momentum could push Treasury yields lower despite renewed inflation fears.Why a shrinking wall of worry could remove an important source of support for stocks.What growth stock leadership, household purchasing power, and ISM services data reveal about market risk.How debt-funded AI spending and widening credit spreads change the risks facing technology companies.Why extreme stock outperformance versus bonds could matter for portfolio allocation.The difference between rising profits per worker and sustainable economic productivity.Why Jim expects a tech bear market but a more moderate correction in the broader S&P 500.Timestamps:00:00 Why oil, rates, and tight policy worry Jim05:43 The three-way split hiding beneath strong earnings09:58 Why low jobless claims may be misleading16:18 When business investment stops creating jobs20:48 Can consumer spending outrun real income?26:01 How the wall of worry has supported stocks31:44 Investor complacency and a shift toward growth fears36:58 The disconnect between Main Street and Wall Street41:35 AI debt financing, credit spreads, and the case for bonds47:25 Investment per worker and the yield curve's earnings warning51:52 Profit productivity versus real economic productivity58:08 Why Jim expects a tech bear market and a broader correctionLearn 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. | 1h 01m 44s | ||||||
| 9/12/26 | We Asked Fidelity's Ex-President What Made Peter Lynch Great — and Where Private Credit Risk Hides | Former Fidelity president and MFS chairman Bob Pozen joins Excess Returns to discuss retirement investing, the risks in private credit, and why he favors a 90% stock and 10% cash portfolio for investors who can cover their living expenses without selling stocks.Drawing on decades in asset management, he shares lessons from Peter Lynch and Warren Buffett, explains why index funds are difficult to beat, and challenges conventional thinking about bonds, Social Security, and corporate earnings reporting.Bob Pozen's websitehttps://www.bobpozen.comFollow Bob Pozen on Twitterhttps://x.com/PozenResearch discussed:Consequences of Mandatory Quarterly Reporting: The U.K. Experiencehttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=2817120Rating Without Market Disciplinehttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=6859158Giving Life to Private (Rated) Credithttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=6857958Topics covered:What investors misunderstand about Peter Lynch and how fund liquidity shaped his approach versus Warren Buffett's.Lessons from leading Fidelity and rebuilding investor trust at MFS after its trading scandal.Why fees, fund size, and market efficiency make large-cap index funds difficult to beat.Private equity in 401(k) plans, liquidity constraints, and the problem with instant valuation markups.How private credit ratings and affiliated investments can obscure risks on insurance company balance sheets.Pozen's proposals for Social Security reform and the consequences of postponing difficult decisions.How automatic IRA enrollment could expand retirement savings access for workers without employer plans.Why Pozen favors a 90/10 portfolio for certain investors and how spending needs and inheritance goals affect allocation.Why quarterly financial reporting and quarterly earnings guidance deserve different treatment.The behavioral cost of chasing rallies and selling downturns, plus Pozen's work on AI and personal productivity.Timestamps:00:00 Peter Lynch, Warren Buffett, and staying the course05:27 Leading Fidelity and keeping stock funds invested11:03 Rebuilding trust at MFS after the trading scandal16:01 Why active managers struggle to beat index funds20:03 Private equity in 401(k)s and valuation concerns24:45 Private credit ratings and insurance company risks29:33 Regulatory gaps and affiliated insurance investments35:51 Social Security reform and the cost of waiting40:00 Automatic IRAs for workers without retirement plans44:09 The case for 90% stocks and 10% cash50:05 Why quarterly financial reporting matters55:00 The problem with precise quarterly earnings guidance59:00 Avoiding emotional market timing and AI productivity toolsLearn 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. | 1h 00m 48s | ||||||
| 9/10/26 | Everyone Hates Bonds. Why Two Bond Managers Say You're Hating the Wrong Ones | John Kerschner and Michael Contopoulos of Janus Henderson join Matt Zeigler to explain why persistent inflation and higher interest rates call for a different approach to bond investing. They explore short-duration bonds, AAA CLOs, mortgage-backed securities and how investors can rethink the fixed income allocation in a 60/40 portfolio.The conversation covers why traditional bond benchmarks may deliver too much interest rate risk for their yield, how ETFs expand access to securitized credit, and why the AI buildout could add to inflation rather than solve it.High-Conviction Views: The time for short-duration bondshttps://www.janushenderson.com/en-us/advisor/article/high-conviction-views-the-time-for-short-duration-bonds/Janus Henderson Investorshttps://www.janushenderson.com/en-us/advisor/Topics covered:Why deglobalization, fiscal spending and labor constraints could keep inflation and interest rates elevatedHow the Bloomberg US Aggregate Bond Index concentrates interest rate risk and leaves out large parts of the bond marketHow AAA CLOs work, why their coupons float, and why they are different from cashWhy tight corporate credit spreads may offer insufficient compensation for the risks investors takeThe three jobs of fixed income: safety, income and insuranceHow duration determines whether rising rates can wipe out a bond portfolio's incomeWhy bond ETF discounts can reflect price discovery when underlying bonds are not tradingHow Treasury borrowing and AI hyperscaler debt issuance affect bond supply and relative valueWhy AI capital spending, electricity demand, labor shortages and wealth effects can create inflationHow to rebuild the bond allocation around securitized credit, agency mortgages and the risks in your equity portfolioTimestamps:00:00 Rethinking bonds after years of disappointing returns04:28 Why the forces behind the bond bull market have changed10:09 The hidden interest rate risk in the Aggregate Bond Index14:53 AAA CLO ETFs: Floating income, structure and drawdown risk20:44 Treasury fiscal risk and tight corporate credit spreads26:16 Moving beyond set-and-forget bond funds30:45 How duration can overwhelm your bond yield36:27 Bond ETF liquidity and price discovery during stress41:11 Treasury borrowing, AI debt and securitized bond supply46:00 How hyperscaler borrowing can create credit market dislocations50:29 Four reasons AI could increase inflation55:56 Rebuilding the 40% bond allocation in a 60/40 portfolio01:02:00 Municipal bonds, recession protection and balancing equity riskLearn 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. | 1h 05m 25s | ||||||
| 9/8/26 | asset allocationdiversification+4 | Jared Dillian | The Awesome PortfolioThe Awesome Portfolio Book | — | S&P 500Awesome Portfolio+6 | — | 56m 38s | ||
| 9/6/26 | sports bettingfinancial planning+5 | Cameron DawsonDave Nadig | Click BetaSpotify+2 | — | sports bettingGen Z+7 | — | 55m 42s | ||
| 9/3/26 | AI as an industrial revolutioninvestment risks in technology+4 | Dan Niles | Niles Investment ManagementOpenAI+3 | China | AIsemiconductors+7 | — | 1h 00m 01s | ||
| 9/3/26 | Fed credibilityfinancial repression+5 | Ben Hunt | goldFed+2 | — | Fedfinancial repression+6 | — | 51m 07s | ||
| 8/31/26 | inflationmarket volatility+4 | Kevin MuirAahan Menon+2 | Last CallFed+3 | — | inflation datamarket risks+5 | — | 1h 02m 28s | ||
| 8/29/26 | bond marketAI-driven earnings growth+4 | Kevin Muir | The MacroTouristPeople's Bank | U.S.-Canada | AI earningsTreasury yields+5 | — | 1h 04m 46s | ||
| 8/28/26 | private equityAI+4 | Dan Rasmussen | Verdad AdvisersThe Humble Investor | — | private equityAI CapEx boom+5 | — | 57m 18s | ||
| 8/25/26 | microcap investingactive stock picking+4 | Ian Cassel | MicroCapClubS&P 500+1 | — | stock pickinginvestment strategies+4 | — | 1h 00m 30s | ||
| 8/22/26 | economic rotationstock market instability+5 | Liz Ann Sonders | Charles Schwab | — | economic cyclesinflation volatility+5 | — | 1h 01m 55s | ||
| 8/20/26 | AI fundingmarket risks+4 | Andy Constan | Nvidia | — | AI CapExTreasury yields+5 | — | 1h 00m 46s | ||
| 7/18/26 | options marketAI boom+5 | Andy Constan | AIsemiconductor+2 | — | options marketAI+6 | — | 57m 36s | ||
| 7/16/26 | elite tradersrisk management+4 | Jack Schwager | Market Wizards: The Next Generation | — | tradingrisk-adjusted returns+5 | — | 1h 01m 55s | ||
| 7/14/26 | U.S. economyemployment data+5 | Eric Pachman | Data 4 The People | — | unemployment ratelabor market+5 | — | 1h 06m 16s | ||
| 7/11/26 | market correctioneconomic momentum+5 | Jim Paulsen | Paulsen Perspectives | — | stock market correctioneconomic momentum+6 | — | 58m 43s | ||
| 7/9/26 | technical analysismarket breadth+5 | Katie Stockton | Fairlead StrategiesFairlead Funds+12 | — | S&P 500Nasdaq 100+7 | — | 53m 44s | ||
| 7/7/26 | evidence-based investingmarket concentration+5 | Matt Zenz | Longview Research PartnersExcess Returns | — | evidence-based investingmarket concentration+8 | — | 57m 25s | ||
| 7/6/26 | AI capital spendingfixed income markets+5 | Jeff Klingelhofer | Aristotle Pacific | US | AI CapExstock market+7 | — | 56m 33s | ||
| 7/5/26 | U.S. stock market historylong-term investing+4 | Meb Faber | Cambria Investment ManagementInvesting in America: The Rise of a 250 Year Bull Market | United StatesS&P 500 | Meb FaberU.S. stocks+5 | — | 1h 01m 38s | ||
| 7/3/26 | SpaceX IPOAI and semiconductor cyclicality+4 | Andy ConstanBen Hunt+2 | SpaceXAI+3 | — | SpaceX IPOAI+5 | — | 1h 04m 37s | ||
| 7/2/26 | AI bull marketmacro risks+4 | Warren Pies | GPUAI+7 | Fed | AIsemiconductors+5 | — | 55m 30s | ||
| 6/11/26 | passive investingindex construction+5 | Mike Green | SpaceXNvidia+4 | — | passive flowsSpaceX IPO+6 | — | 43m 55s | ||
| 6/9/26 | AI as a general purpose technologymegatrends in investing+3 | Joe Davis | Coming into View: How AI and Other Megatrends Will Shape Your InvestmentsVanguard+1 | — | AIeconomic growth+6 | — | 48m 26s | ||
| 6/6/26 | SpaceX IPOmarket structure+5 | Matt ZeiglerDave Nadig+1 | SpaceXPalantir+3 | — | SpaceXIPO+6 | — | 56m 31s | ||
| 6/4/26 | stock market pullbackAI-driven stocks+4 | Jim Paulsen | Bitcoingold+6 | — | stock marketAI stocks+5 | — | 1h 01m 41s | ||
| 6/2/26 | AI disruptionsoftware stocks+4 | Kai Wu | Sparkline CapitalBlockbuster+5 | — | AI disruptionsoftware stocks+5 | — | 1h 03m 56s | ||
| 5/30/26 | AI-driven earnings optimismmarket risks+3 | Aahan MenonBen Hunt+1 | SpaceX | — | AI trademarket analysis+3 | — | 1h 08m 37s | ||
| 5/28/26 | market fundamentalsAI in stock selection+5 | Adam Parker | Trivariate ResearchTrivector Research | — | AI revenue exposurestock market+7 | — | 49m 43s | ||
| 5/26/26 | trend followingmanaged futures+5 | Eric Crittenden | Standpoint Funds | — | trend followingmanaged futures+5 | — | 1h 06m 54s | ||
| 5/23/26 | investing ideasbubble logic+5 | Cliff Asness | AQR Capital ManagementBubble Logic: Or, How to Learn to Stop Worrying and Love the Bull+6 | — | Cliff Asnessinvesting+6 | — | 1h 18m 48s | ||
| 5/21/26 | risk and rewardmarket history+4 | Ben Carlson | Excess ReturnsA Wealth of Common Sense+1 | — | bear marketsinflation+4 | — | 57m 06s | ||
| 5/8/26 | factor investingsmall caps+5 | Elena Khoziaeva | Bridgeway Capital ManagementS&P 500+1 | — | quantitative investingmarket neutral strategies+6 | — | 1h 02m 46s | ||
| 5/6/26 | long-term stock pickingmicrocap investing+3 | Chris MayerIan Cassel | The 100 Year ThinkersSpotify+1 | — | stock pickingmicrocap investing+6 | — | 1h 16m 46s | ||
| 5/4/26 | letting winners runinflation risk+5 | Chris DavisRich Bernstein | — | — | portfolio concentration1960s vs 1970s+5 | — | 1h 10m 16s | ||
| 5/1/26 | market resilienceprivate credit risks+5 | Ben HuntJim Paulsen+2 | Last Call | — | market environmentstocks rise+8 | — | 1h 07m 48s | ||
| 4/29/26 | inflationmarket concentration+4 | Richard Bernstein | Janus Henderson InvestorsExcess Returns | S&P 500 | inflationgrowth stocks+7 | — | 1h 02m 24s | ||
| 4/27/26 | risk perceptionmarket valuation+4 | Chris Davis | Davis Advisors | — | investingvaluation+6 | — | 1h 02m 32s | ||
| 4/24/26 | market structure shiftspassive investing risks+4 | Travis Prentice | Informed Momentum CompanyInformed Momentum+3 | — | passive investingmarket dispersion+6 | — | 59m 18s | ||
| 4/22/26 | market concentrationAI capital spending+5 | Chris Bloomstran | Semper AugustusBerkshire Hathaway+2 | — | market risksAI investment+5 | — | 1h 08m 37s | ||
| 4/19/26 | market valuationinvestor behavior+5 | David Rosenberg | Rosenberg Research | — | valuation excessequity risk premium+5 | — | 1h 05m 28s | ||
| 4/17/26 | market resiliencepolicy shocks+4 | Brent Donnelly | Spectra Markets | — | market trendsequities+6 | — | 1h 04m 43s | ||
| 4/15/26 | impact of war on marketsoil shocks+4 | Liz Ann Sonders | AISchwab | US | bear marketinvesting landscape+5 | — | 1h 04m 56s | ||
| 4/13/26 | inflationmonetary policy+5 | Jim Grant | Grant’s Interest Rate ObserverThe Fed | — | inflationmonetary debasement+6 | — | 1h 03m 20s | ||
| 4/11/26 | market resilienceoptions market analysis+4 | Brent Kochuba | OPEX EffectSpotify+1 | — | options flowsgamma positioning+6 | — | 1h 09m 02s | ||
| 4/9/26 | AI investment opportunitiesAI value chain+3 | Tom Hancock | GMO | — | AIinvestment+7 | — | 58m 40s | ||
| 4/8/26 | macro environmenteconomic indicators+5 | Jim Paulsen | WalmartApple Podcasts+3 | — | Walmart Indicatoreconomic growth+5 | — | 59m 46s | ||
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Chart history for Excess Returns
Peaked at #19 in GR, currently #19 in GR.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| GR | — | #19 | #19 | — |
| IS | — | #25 | #25 | — |
| South Korea | — | #36 | #36 | — |
| India | — | #46 | #46 | — |
| Norway | — | #76 | #76 | — |
| Finland | — | #80 | #80 | — |
| SG | — | #82 | #82 | — |
| Denmark | — | #86 | #86 | — |
| Japan | — | #86 | #86 | — |
| ID | — | #88 | #88 | — |
| United Kingdom | — | #90 | #90 | — |
| PL | — | #91 | #91 | — |
| United States | — | #92 | #92 | — |
| GR | — | #92 | #92 | — |
| TH | — | #94 | #94 | — |
| RO | — | #95 | #95 | — |
| KE | — | #96 | #96 | — |
| IS | — | #99 | #99 | — |
| Netherlands | — | #106 | #106 | — |
| Sweden | — | #106 | #106 | — |
Chart Positions
43 placements across 38 markets.
Chart Positions
43 placements across 38 markets.