Episodios

  • The Signal Before the Spike | Katie Stockton on What the Charts Tell Us About What Comes Next
    Apr 3 2026

    This episode explores the growing signs of a shift beneath the surface of the market, as technical indicators point to weakening momentum in equities and a potential change in leadership. Katie Stockton joins the show to break down what recent signals in the S&P 500, oil, gold, and sector rotation are telling us about where markets may be headed next.

    We cover the implications of a new monthly MACD sell signal, the importance of market breadth and leadership, and how investors can interpret shifting trends across asset classes using a disciplined technical framework.


    More on Katie's Strategies

    https://www.fairleadstrategies.com/


    Topics Covered:

    • Why a new monthly MACD sell signal may signal a longer, choppier market phase

    • The difference between fast corrections and slow grind bear phases

    • Key S&P 500 support levels and what a breakdown could mean for downside risk

    • How technical indicators help filter noise in headline-driven markets

    • The breakout in crude oil and what it signals about a potential new cycle

    • Whether sharp price moves are sustainable or likely to reverse

    • Understanding overbought and oversold conditions across different timeframes

    • Why mega-cap weakness is critical to overall market direction

    • The shift from growth to value and what it means for investors

    • Sector rotation trends and where leadership is emerging in 2025

    • What gold’s recent run and emerging weakness signal for safe haven assets

    • How a systematic, technical approach can help manage drawdowns and re-entry timing

    Timestamps:
    00:00 Intro
    04:18 S&P 500 momentum deterioration and MACD sell signal
    08:09 Key support levels and downside scenarios for equities
    12:53 Crude oil breakout and implications for a new cycle
    16:01 What overbought and oversold really mean in practice
    20:04 Mega-cap weakness and shifting market leadership
    24:41 Concentration risk in investor portfolios
    27:52 Value vs growth rotation and cycle dynamics
    32:13 Market breadth and confirmation signals
    36:19 Moving averages, death cross, and trend interpretation
    39:56 Inside the TAC ETF and sector rotation strategy
    44:04 Gold trends and why consolidation may be next
    47:00 Key signals to watch going forward

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    49 m
  • Michael Mauboussin | AI, Base Rates, and Investing in the New Economy
    Apr 2 2026
    In this inaugural episode of our new show, The Intangible Economy with Kai Wu, we explore how AI, intangible assets, and unprecedented capital investment are reshaping the future of markets. Michael Mauboussin joins Kai to break down why today’s AI expectations may be historically unmatched—and what that means for investors trying to assess risk, returns, and who ultimately captures value.Subscribe on SpotifySubscribe on AppleThe conversation moves from base rates and AI growth expectations to competitive dynamics, capital cycles, and the fundamental shift toward intangible-driven business models that are changing how we think about valuation, moats, and market structure.Papers and Resources Discussed:Bayes and Base Rates: How History Can Guide Our Assessment of the Futurehttps://www.morganstanley.com/im/en-us/institutional-investor/insights/consilient-observer/bayes-and-base-rates.htmlThe Impact of Intangibles on Base Rateshttps://www.morganstanley.com/im/publication/insights/articles/article_theimpactofintangiblesonbaserates.pdfMeasuring the Moat: Assessing the Magnitude and Sustainability of Value Creationhttps://www.morganstanley.com/im/publication/insights/articles/article_measuringthemoat.pdfOne Job: Expectations and the Role of Intangible Investmentshttps://www.morganstanley.com/im/publication/insights/articles/article_onejob.pdfCapitalism Without Capital: The Rise of the Intangible Economyhttps://books.google.com/books/about/Capitalism_without_Capital.html?id=J3SYDwAAQBAJA Better Estimate of Internally Generated Intangible Capitalhttps://pubsonline.informs.org/doi/10.1287/mnsc.2022.01703Underestimating the Red Queen: Measuring Growth and Maintenance Investmentshttps://www.morganstanley.com/im/publication/insights/articles/article_underestimatingtheredqueen.pdfExplaining the Recent Failure of Value Investinghttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=3442539Guest Links:Michael Mauboussin TwitterTopics Covered:Why OpenAI’s projected growth would be unprecedented in market historyHow base rates provide a reality check on AI expectationsThe role of diffusion models and adoption curves in forecasting technologyWhy massive capital investment in AI may follow past boom-bust cyclesLessons from large-scale infrastructure projects and why timelines breakHow intangible assets change the distribution of business outcomesThe rise of “fat tails” and why more companies now massively win or failWho captures value in AI across the stack from chips to applicationsWhy competition may drive AI profits toward consumers, not producersHow accounting distorts intangible investment and misleads investorsTimestamps:00:00 Intro and OpenAI growth expectations vs historical base rates04:32 Why no company has ever achieved 100%+ sustained growth at scale08:47 Lessons from megaprojects and AI infrastructure buildouts13:18 Intangible assets and why outcomes now have fatter tails18:36 Why big tech is growing faster than historical precedents23:52 Where value accrues in AI and why consumers may benefit most28:21 Barriers to entry in AI including capital, talent, and scale32:47 The risk of overinvestment and historical parallels to past bubbles37:26 Game theory and competitive signaling in AI capital spending41:58 Why investment returns—not “asset light” narratives—drive value46:12 How accounting fails to capture intangible investment properly50:44 Breaking down SG&A into maintenance vs investment spending55:03 Why understanding reinvestment and ROI is the core investing skill59:18 Final thoughts on uncertainty, expectations, and base rates in AI
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    1 h y 2 m
  • The Stagflation Regime | Aahan Menon on What Works When Stocks and Bonds Don’t
    Mar 31 2026

    This episode of Excess Returns features Aahan Menon of Prometheus Research breaking down the growing risk of an inflation shock driven by energy markets and what it means for investors. The discussion explores how a potential shift toward stagflation could challenge traditional stock and bond portfolios and why commodities, trend following, and systematic frameworks may be better suited for the current environment.

    Prometheus Research
    https://www.prometheus-research.com

    Aahan Menon Twitter
    https://x.com/@AahanPrometheus

    • Why the current inflation shock may be one of the most significant in recent history

    • How oil prices and geopolitical conflict are reshaping macro expectations

    • The growing risk of a stagflationary environment and what it means for portfolios

    • Why traditional 60/40 portfolios may struggle in sustained inflation regimes

    • How expected returns differ across equities, bonds, commodities, and FX

    • Why commodities and energy markets offer the most attractive opportunities today

    • The role of backwardation and supply shocks in driving commodity returns

    • Why consensus earnings expectations may be too optimistic relative to macro reality

    • How inflation flows through the economy from energy to consumer demand

    • The Fed’s dilemma between inflation control and economic slowdown

    • A simple rule for when to own treasuries based on inflation trends

    • Why correlations across asset classes are breaking down in crisis environments

    • How systematic investors manage risk when markets are driven by news and geopolitics

    • The case for trend following as a core portfolio strategy

    • How Aahan’s free trend system works across stocks, bonds, gold, and Bitcoin

    • The behavioral advantages of systematic investing during volatile markets

    • Risks of trend following including whipsaws and false signals

    • How portfolio construction is evolving to include crisis protection and energy overlays

    00:00 Inflation shock and why equities and bonds may struggle
    01:03 Setting up the macro backdrop before the oil shock
    03:12 Labor market slowdown vs strong GDP divergence
    04:45 Consumer spending driven by de-saving
    05:35 Oil-driven inflation shock as a recession catalyst
    07:32 Preparing for stagflation vs disinflationary growth
    09:18 Why commodities outperform in inflation regimes
    10:45 Expected returns framework across asset classes
    12:05 Why commodities and FX offer the best opportunities
    14:05 How commodity carry and backwardation work
    16:42 Trend following and commodities as pro-cyclical exposures
    17:43 Ranking expected returns: energy, FX, bonds, equities
    18:51 Challenges of systematic investing in news-driven markets
    20:15 Extreme correlations and oil dominating asset pricing
    23:47 Earnings expectations vs macro reality gap
    28:30 Why the Fed faces an impossible policy tradeoff
    30:00 Real-time CPI estimates and inflation pressure
    32:00 A rule for when to own treasuries based on CPI
    37:30 Stock-bond correlation regime shifts
    39:34 How the trend following system works
    45:10 Benefits and limitations of trend strategies


    Más Menos
    58 m
  • 6x Earnings. 10x Potential. | Harris Kupperman on the Inflections Wall Street Misses
    Mar 30 2026

    This episode explores Harris “Kuppy” Kupperman’s framework for “inflection investing” and how he identifies asymmetric opportunities across global markets. The conversation dives into why he believes U.S. equities are structurally challenged, where he sees better opportunities globally, and how macro, politics, and capital flows drive major investing inflections.

    Inflection investing and identifying asymmetric opportunities
    How macro and politics create winners and losers in markets
    The Argentina case study and why the stock exchange may outperform the country
    How to structure trades with limited downside and multi-bagger upside
    Time horizon advantages versus short-term Wall Street thinking
    Portfolio construction, capital allocation, and when to sell positions
    Managing risk, leverage, and liquidity during crises and wars
    Building a “shopping list” during market dislocations
    Country ETFs vs individual securities in global investing
    Why Kuppy prefers international markets over the U.S.
    The structural imbalances in the U.S. economy and stock market
    Why AI may lead to profitless growth and economic disruption
    The impact of AI on jobs, margins, and economic demand
    How inflation distorts economic data and investor perception
    Finding opportunities in “left for dead” markets like Brazil
    The role of elections and policy shifts in market inflections
    How to think probabilistically about investments
    Avoiding unforced errors and emotional decision-making
    The importance of long-term thinking in volatile markets
    Psychology and discipline in global macro investing

    Harris Kupperman Twitter
    https://twitter.com/HedgeyeKuppy

    Praetorian Capital Website
    https://praetorian-capital.com

    Timestamps
    00:00 Why the U.S. stock market is structurally overvalued
    01:14 What “inflection investing” means
    02:54 Top-down vs bottom-up investing framework
    04:31 Using politics to identify winning trades
    05:00 Argentina trade setup and execution
    06:20 Why the Argentine stock exchange is the best play
    08:00 Earnings inflection and multiple expansion potential
    10:37 Time horizon and holding period strategy
    13:00 When to exit positions and recycle capital
    18:41 How and when to raise cash
    19:41 De-grossing the portfolio during crises
    23:14 Real-time decision making during war scenarios
    27:00 Building a shopping list during dislocations
    29:32 ETF vs individual stock decision process
    33:22 Why the U.S. is less attractive than global markets
    38:17 The problem with AI-driven “growth”
    43:31 Monitoring vs acting across global opportunities
    48:14 The psychology of long-term investing and edge

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    1 h y 3 m
  • The Moment Common Knowledge Changed | Last Call - With Andy Constan, Ben Hunt, Brent Kochuba and Eric Pachman
    Mar 28 2026

    This episode of our new market wrap show Last Call breaks down the biggest market drivers right now through three distinct lenses: macro, narrative, and flows. With an oil shock driven by geopolitical conflict, rising volatility, and conflicting economic signals, the discussion focuses on what actually matters beneath the surface and how investors should think about positioning in an environment where nothing is clearly priced in.

    Follow Last Call on Spotify⁠⁠⁠

    ⁠⁠⁠Follow Last Call on Apple Podcasts⁠

    Jack and Matt bring together Andy Constan, Ben Hunt, Brent Kochuba, and Eric Pachman to analyze the ripple effects of higher oil prices, the “common knowledge” shift in markets, the role of options flows in driving short-term moves, and why traditional economic indicators like unemployment may be telling a misleading story.

    Andy Constan Twitter
    https://x.com/dampedspring

    Ben Hunt Twitter
    https://x.com/EpsilonTheory

    Brent Kochuba Twitter
    https://x.com/spotgamma

    Eric Pachman Twitter
    https://x.com/epachman

    Topics covered:

    • How oil supply shocks impact GDP, inflation, and consumer spending

    • Why higher oil prices act as a tax on the economy and shift growth dynamics

    • The difference between supply shocks and demand shocks in energy markets

    • Why central banks may be unable to respond to an oil-driven slowdown

    • The “common knowledge” framework and how narratives reshape markets

    • Why the Strait of Hormuz has become the key global economic bottleneck

    • Oil exporters vs importers and how that divide is driving asset performance

    • Why energy equities may outperform in a prolonged geopolitical conflict

    • How volatility is being driven by oil prices and geopolitical risk

    • The relationship between VIX and oil during crisis periods

    • Why $100 oil could trigger a major volatility spike and equity selloff

    • The JP Morgan collar trade and how options positioning can pin markets

    • How dealer hedging flows influence short-term price action

    • Why markets may appear disconnected from negative news

    • The limits of predicting what is “priced in” during uncertain environments

    • Why diversification matters more when macro visibility is low

    • How unemployment data can mislead by excluding people leaving the workforce

    • The difference between unemployment rate and labor force participation

    • Structural decline in rural economies and the migration to urban centers

    • How labor force trends explain the divergence in economic experiences across the US

    Timestamps:
    00:00 Oil shock as a GDP tax on consumers
    00:16 Strait of Hormuz as global economic chokepoint
    00:29 Why $100 oil could send VIX to 50
    00:39 Why unemployment rate may be misleading
    01:07 What Last Call is and how the episode is structured
    02:28 Macro, narrative, and flows framework for markets
    03:44 How oil supply shocks impact growth and inflation
    06:00 Why higher oil prices reduce discretionary spending
    07:00 Oil’s impact on inflation and central bank policy
    09:39 Scenario analysis for oil prices and market outcomes
    12:28 Is the oil shock priced into markets?
    16:00 Why oil vs assets may be mispriced
    20:00 Ben Hunt on the “common knowledge” market shift
    25:00 Why the Strait of Hormuz changes everything
    29:00 Portfolio implications: long energy vs global equities
    33:00 Brent Kochuba on oil, VIX, and market volatility linkage
    36:00 Why $100 oil is the key risk threshold for equities
    40:00 JP Morgan collar trade and market pinning dynamics
    44:00 Why options flows can override macro narratives short term
    52:00 Eric Pachman on unemployment vs labor force reality
    59:00 Structural decline in labor force across US counties

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    1 h y 10 m
  • The Private Credit Apocalypse That Isn’t Coming | Larry Swedroe Dispels the Myths
    Mar 26 2026

    In this episode of Excess Returns, we sit down with Larry Swedroe to break down one of the most debated topics in markets today: private credit. Larry walks through what private credit actually is, why it has grown so rapidly since 2008, and where he believes the biggest misconceptions and risks are for investors.

    We dig into the structure of the market, how liquidity and credit risk really work beneath the surface, and why the media narrative around private credit may be overstating systemic risks. We also explore how investors should think about diversification, illiquidity premiums, and the potential impact of AI on credit markets and software lending.

    Larry Swedroe Twitter
    https://twitter.com/larryswedroe

    Larry Swedroe Substack
    https://larryswedroe.substack.com

    Topics covered

    • What private credit is and how it evolved after the 2008 financial crisis

    • Why private credit is not a single asset class and how risk varies across structures

    • The three key risks in private credit: credit risk, liquidity risk, and concentration risk

    • How illiquidity premiums work and why they can be a major source of return

    • Differences between private credit funds, BDCs, and open architecture platforms

    • Why diversification is critical and how concentration risk can be hidden

    • How rising interest rates are impacting defaults and underwriting standards

    • Media misconceptions around defaults, losses, and valuation marks in private credit

    • The real systemic risk of private credit vs the banking system

    • How liquidity actually works in interval funds and stress scenarios

    • What happens in a recession and how private credit compares to equities and high yield bonds

    • The role of software lending and how AI disruption could impact credit portfolios

    • How to evaluate private credit managers including scale, underwriting, and leverage

    • The importance of credit culture and avoiding “reach for yield” behavior

    • Whether private credit should be accessible to retail investors and the risks involved

    • The concept of earning “beta” in private credit vs trying to pick winning managers

    • AI’s growing role in investment research and the risks of overfitting and false signals

    Timestamps
    00:00 Why private credit is less risky than banks for systemic stability
    01:12 Introduction and episode overview
    03:00 What private credit is and how it grew after 2008
    05:21 Who provides capital to private credit funds
    07:11 Why private credit is not a monolithic asset class
    08:00 The three key risks in private credit
    09:00 Illiquidity premium and why it can be a “near free lunch”
    12:00 Credit risk and importance of senior secured lending
    16:00 Concentration risk and why diversification matters
    18:11 Are defaults rising and what the data actually shows
    21:00 Media narratives vs actual credit losses
    23:50 Could private credit cause a financial crisis
    25:50 How to analyze portfolios and why most investors can’t
    28:44 Should investors think about indexing private credit
    30:12 Can private credit work for retail investors
    32:26 Mass redemption risk and liquidity stress scenarios
    36:00 Sources of liquidity inside private credit funds
    41:37 Software lending and AI disruption risk
    47:00 Private equity valuations and spillover into credit risk
    49:43 Key checklist for evaluating private credit investments
    56:30 How AI is changing financial research and investing

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    1 h
  • Nothing Is Priced In | Bob Elliott on Why Investors Are Misreading the Oil Shock
    Mar 25 2026

    This episode of Excess Returns features Bob Elliott discussing the growing fragility in the global economy as an oil shock collides with a shift from an income-driven to a savings-driven system.

    The conversation explores why markets may be mispricing the economic impact of higher oil prices, how inflation and growth dynamics could unfold, and what this means for investors navigating an increasingly volatile macro environment.

    Bob also breaks down how to think about global macro investing today, including why traditional portfolios may be poorly positioned for a wider range of outcomes, how macro managers are adapting to shifting conditions, and how AI-driven productivity gains could impact economic growth, labor, and markets.

    Bob Elliott on Twitter
    https://twitter.com/BobEUnlimited

    Unlimited Funds website
    https://www.unlimitedfunds.com

    Topics covered

    • The shift from an income-driven economy to a savings-driven economy and why it creates fragility

    • Why an oil shock acts as both an inflation driver and a tax on real consumer spending

    • How higher gas prices mechanically reduce discretionary spending and economic growth

    • Why markets may be underpricing the economic impact of the current oil shock

    • The link between oil prices, inflation expectations, and real demand destruction

    • How global markets respond to shocks through deleveraging and volatility spikes

    • Why gold and other winning trades can fall during risk-off environments

    • The sequencing of inflation first and growth slowdown later in shock-driven cycles

    • How central banks are likely to respond to a stagflationary shock

    • Lessons from 2022 and 2008 for understanding today’s macro environment

    • Why stocks and bonds may both be mispriced in the current regime

    • The difference between consumer surplus and true productivity gains from AI

    • Why AI-driven job losses and economic growth cannot coexist without major dissaving

    • The most likely path for AI as a productivity enhancer rather than a job destroyer

    • How to think about measuring productivity in a technology-driven economy

    • The role of second- and third-order effects in macro investing

    • How global macro strategies identify mispricings across asset classes

    • The concept of using the “wisdom of the crowd” from hedge fund positioning

    • Why macro strategies can perform in both rising and falling markets

    • How macro fits into a portfolio as a diversifier versus long-only assets

    • Why the future investment environment may require broader strategy diversification

    Timestamps

    00:00 Oil shock meets a savings-driven economy
    01:00 Framing the macro environment: oil, inflation, and growth
    02:12 What a savings-driven economy means for market fragility
    04:46 Why household income vs spending divergence matters
    07:00 First principles of an oil shock and demand inelasticity
    08:00 How oil price spikes flow through to inflation
    13:00 Global market reactions and emerging market dynamics
    14:00 Deleveraging and volatility driving asset price reversals
    15:44 Why gold declines during macro stress events
    17:17 Institutional positioning and ETF flows in gold
    17:34 Inflation first, growth slowdown later: sequencing the impact
    19:24 Is the economic damage already done
    22:00 How macro investors operate in low-conviction environments
    29:19 What the Fed should do versus what it will do
    31:00 Comparing today’s environment to 2022 inflation dynamics
    33:00 Why markets are pricing in almost nothing
    34:00 AI and the link between labor, income, and spending
    37:11 Productivity vs consumer surplus in AI adoption
    40:00 Why better tools don’t necessarily mean higher productivity
    s
    46:00 How global macro strategies are constructed
    48:00 Using hedge fund positioning as a signal
    56:00 Why the opportunity set for macro may be expanding

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    58 m
  • You Couldn’t Take Out Amazon with $50 Billion | The 100 Year Thinkers on Why Outliers Drive Returns
    Mar 23 2026

    Subscribe to the 100 Year Thinkers of Spotify⁠

    ⁠Subscribe to the 100 Year Thinkers of Apple

    In this episode of our new show, 100 Year Thinkers, Robert Hagstrom and Chris Mayer explore how investors should think about base rates, extreme outcomes, and the realities of long-term wealth creation in markets. Applying the work of Michael Mauboussin, the conversation challenges conventional ideas like mean reversion and highlights why a small number of companies drive most stock market returns—and what that means for portfolio construction.

    This episode brings together Robert Hagstrom and Chris Mayer to explore how investors should think about base rates, extreme outcomes, and the realities of long-term wealth creation in markets. The conversation challenges conventional ideas like mean reversion and highlights why a small number of companies drive most stock market returns—and what that means for portfolio construction.

    Topics covered
    • Why markets are driven by extreme outcomes and power laws, not averages
    • The Best & Bessembinder research showing a handful of stocks create most wealth
    • Base rates vs outliers and when to trust historical probabilities
    • Why the 100 bagger framework focuses on studying winners, not predicting them
    • Portfolio construction as a way to capture asymmetric upside
    • Buffett’s approach to consistency, durability, and long-term operating history
    • Inside view vs outside view and how narratives distort investing decisions
    • Why AI may be breaking traditional base rate assumptions in software and tech
    • The limits of mean reversion and why it can lead investors astray
    • Return on invested capital and how competition erodes excess returns over time
    • Identifying durable moats and why most advantages eventually get attacked
    • Winner-take-all dynamics and how they shape long-term investing outcomes
    • The twin engines of returns: earnings growth and multiple expansion
    • Return on incremental capital as a key driver of long-term compounding
    • Intangible assets and why accounting understates true business value
    • Amazon as a case study in misunderstood profitability and reinvestment
    • AI CapEx cycle and why current spending may not be sustainable long term
    • Why great businesses matter more than great management in long-term investing

    Timestamps
    00:00 Why extreme outcomes drive stock market returns
    01:00 Base rates vs studying 100 baggers
    03:00 Power laws and why markets are a game of outliers
    05:00 Just 46 companies created half of all market wealth
    07:00 Buffett on consistency and long-term operating history
    10:00 How to think about base rates in AI, energy, and macro cycles
    12:00 Does AI invalidate historical base rates?
    15:00 Inside view vs outside view in investment decision making
    19:00 Buffett’s “certainty at a discount” framework
    23:00 How often investors should evaluate businesses vs prices
    29:00 Mean reversion myths and where it breaks down
    33:00 Return on invested capital and competitive pressure
    36:00 Moats, winner-take-all markets, and long-term dominance
    41:00 Twin engines of compounding: growth plus multiple expansion
    43:00 Return on incremental capital and forecasting future returns
    47:00 Intangibles and why accounting distorts real business value
    50:00 Amazon, CapEx cycles, and hidden profitability
    53:00 AI infrastructure buildout and the future of returns

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    1 h y 12 m