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 inflation

• How oil shocks impact both inflation and economic growth simultaneously

• The nuance behind the “US as a net energy exporter” narrative

• Why markets require a steady stream of bad news to sustain a decline

• How policy reaction functions (Fed, government) shape market outcomes

• The difference between structural trends and short-term shocks in trading

• Why “buy the dip” has worked—and the risks if it stops working

• The role of retail traders and short-term flows in modern market dynamics

• Contribution vs. price performance in the Mag 7 and S&P 500

• How sentiment has evolved across different investor cohorts and timeframes

Timestamps:
00:00 Intro and overview of this week’s guests
01:03 Jim Grant on why war is inherently inflationary
05:16 Historical context for inflation and wartime dynamics
10:40 Liz Ann Sonders on oil shocks and stock market reactions
13:11 Demand destruction and the “cure for high prices”
15:57 Brent Donnelly on shocks, positioning, and mean reversion
18:33 Policy reaction functions and market reflexivity
21:44 Jim Grant on bubbles, technology, and the air conditioning analogy
27:04 Liz Ann Sonders on buy-the-dip behavior and retail traders
32:37 Why markets need sustained bad news to decline
38:24 Jim Grant on trust as the foundation of credit markets
41:47 Liz Ann on Mag 7 growth vs. the rest of the market
46:02 Contribution vs. performance in index construction
48:01 Jim Grant on inflation, oil shocks, and policy mistakes
52:38 Inflation as a continuous process and purchasing power loss
57:09 Liz Ann on Marty Zweig, sentiment, and modern market structure
01:02:35 Final thoughts on sentiment, behavior, and market complexity

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 risk

• Why oil is no longer driving volatility the way it did earlier in the crisis

• How geopolitical shocks are (and aren’t) translating into equity market stress

• The role of options flows and the JP Morgan collar in shaping market moves

• Why all market signals should be viewed as probabilities, not certainties

• AI and the “cost of intelligence going to zero” and what that means for productivity

• The layering of AI economics and how cash flows through the system

• Why this AI cycle differs from the dot-com bubble (utilization, funding, cost curves)

• The importance of cash-funded capex vs. debt-driven speculation

• Why low consumer confidence may actually be bullish for stocks

• Indicators that look more like the start of a bull market than the end

• The role of sentiment, positioning, and underreaction in driving returns

Timestamps:

00:00 Intro
01:00 Weekly Wrap overview and guest lineup
03:05 The Walmart indicator and recession signals
06:20 Private credit stress vs traditional credit signals
09:05 Interpreting economic indicators in context
10:25 Oil and VIX correlation breakdown
13:05 Why oil stopped driving volatility
15:00 “Certainty about uncertainty” and market behavior
16:10 AI and the collapsing cost of intelligence
18:40 Agents, productivity, and the future of software
21:05 AI skepticism vs long-term adoption curve
22:30 AI capex, cash flow, and economic layering
25:00 Why this AI cycle is more stable than dot-com
27:00 Cash-funded investment vs debt-driven bubbles
29:25 Bull market vs bear market signals today
31:00 Consumer confidence as a contrarian indicator
33:30 The role of sentiment and upside surprises
34:25 The JP Morgan collar and market structure
37:00 Trading probabilities vs certainty
39:00 How options flows act as market “magnets”
41:05 Comparing AI infrastructure to fiber buildout
44:30 Utilization and demand in AI vs dot-com
47:00 Network effects and scaling AI adoption
01:09:30 Final thoughts and wrap-up

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 us

• How base rates should guide expectations without limiting outlier outcomes like Amazon

• Why large companies are growing faster today and the role of intangible assets and software

• The concentration of economic profit in the Magnificent Seven and what it implies for valuations

• Why long-term time horizons create a structural edge in investing

• The concept of “common knowledge” and how it reshapes markets during geopolitical events

• Where AI value will accrue: companies vs consumers vs suppliers

• Why commodities behave differently from stocks and bonds during supply shocks

• How trend following works and why commodities are uniquely suited to it

• Why investing is a probabilities game and how to manage uncertainty and position sizing

• How technical indicators like the 200-day moving average should actually be used

Timestamps:

00:00 Intro and overview of Weekly Wrap format
00:02:05 Michael Mauboussin on OpenAI growth and base rates
00:06:18 Why base rates matter but don’t define outcomes
00:09:50 Why large companies are growing faster than history suggests
00:14:58 Kuppy on time horizons and avoiding short-term noise
00:19:15 Ben Hunt on “common knowledge” and the Strait of Hormuz
00:24:13 AI value accrual and consumer surplus vs company profits
00:28:10 Commodities, backwardation, and why price trends differ from equities
00:32:45 Trend following and why commodities exhibit stronger trends
00:34:41 Investing as a game of probabilities and decision-making under uncertainty
00:41:58 Katie Stockton on the 200-day moving average and technical signals
00:46:20 Breadth, trend signals, and how technicals inform risk management
00:50:30 Position sizing, uncertainty, and diversification frameworks
00:55:40 Revisiting the Magnificent Seven and intangible assets
00:59:00 Trend following frameworks and portfolio construction

Check out the full episode and all of our interviews from this week on the Excess Returns YouTube channel and podcast platforms.

This episode of Excess Returns Weekly Recap breaks down one of the most complex market environments in recent memory, from the global oil shock and its economic ripple effects to base rates, AI-driven productivity, and private credit risks. Jack Forehand and Matt Zeigler synthesize insights from Bob Elliott, Chris Mayer, Robert, and Larry Swedroe to help investors understand what matters, what’s being mispriced, and where conviction should (and shouldn’t) exist.

Topics covered:

• How oil supply shocks translate into inflation and reduced consumer spending

• Why oil demand is inelastic and creates mechanical economic slowdowns

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

• Why better tools don’t necessarily translate into higher earnings

• Understanding base rates and when it makes sense to bet against them

• How extreme outliers drive market returns and portfolio construction

• Survivorship bias vs studying exceptional businesses the right way

• Private credit risks, liquidity mechanisms, and media-driven narratives

• Why redemption fears in private credit may be overstated

• The importance of intellectual humility in macro investing

• Why investors often have no edge in geopolitical forecasting

• Identifying cross-asset mispricings instead of predicting outcomes

• How AI may increase competition but not necessarily create more winners

• The persistence of winner-take-all dynamics across technological shifts

• How to think about conviction, uncertainty, and portfolio positioning in volatile environments

Timestamps:
00:00 Oil shock impact on consumer spending and inflation mechanics
00:01:06 Why this market environment is unusually confusing for investors
00:02:22 How oil supply shocks translate into price spikes and inflation
00:05:20 The real-world impact of higher energy costs on household spending
00:10:00 Base rates vs extreme outcomes in investing
00:11:39 Survivorship bias and what investors misunderstand about outliers
00:18:03 Private credit redemption risks and liquidity dynamics explained
00:23:00 Media narratives vs actual cash flows in private credit funds
00:27:11 AI productivity vs consumer surplus and why it matters
00:30:26 Why better tools don’t always lead to higher earnings
00:33:37 How to use base rates alongside conviction in investing decisions
00:38:58 Why investors have no edge in predicting geopolitical outcomes
00:41:00 Cross-asset signals and what markets may be mispricing
00:45:12 How AI could reshape competition but not change winner dynamics
00:47:57 When base rates break and how technological shifts reset expectations

This week’s Excess Returns Weekly Wrap breaks down the biggest market drivers right now, including how markets price (or fail to price) war risk, why volatility signals are flashing unusual warnings, and what options market positioning is telling us about potential downside. Featuring Jared Dillian, Brent Kochuba and D.A. Wallach, the episode also explores how macro regime shifts are changing diversification, how the Fed is reacting to rising oil prices, and why biotech investing is essentially a portfolio of options.

Topics Covered

• Why markets struggle to price geopolitical risk and war probabilities
• The concept of “willful ignorance” in market pricing of obvious risks
• Implied vs realized volatility and what the VIX is signaling right now
• Why volatility premium is near historic highs despite a relatively low VIX
• How options flows and hedging activity influence stock market movements
• The risk of a sudden volatility spike and what could trigger a VIX move to 40
• The Fed’s dilemma with rising oil prices and inflation vs demand destruction
• Why oil shocks can be both inflationary and deflationary at the same time
• The idea of “path of least embarrassment” in Fed policy decisions
• Biotech investing explained as a “bag of options” with probabilistic outcomes
• How drug development stages impact valuation and expected returns
• Regime change in markets and why stock-bond correlations have flipped
• The concept of non-stationary markets and constantly changing investing rules
• Why most investors fail to adapt during regime shifts
• The “Awesome Portfolio” and diversification across economic regimes
• How options dealer positioning and gamma exposure can amplify market moves
• Why OPEX (options expiration) can act as a turning point for markets
• The shift from short-term to longer-term hedging in uncertain environments

Timestamps

00:00 Why markets fail to price obvious risks like war
03:30 The Ukraine example and delayed market reactions
09:50 Volatility premium vs VIX and why the spread is unusual
12:00 How hedging activity drives implied volatility higher
16:30 Oil shock and the Fed’s policy dilemma
18:40 Inflation vs demand destruction from higher energy prices
23:00 Biotech investing as a portfolio of probabilistic outcomes
27:00 Valuing drug pipelines using expected value and probabilities
32:00 Regime change and the breakdown of stock-bond diversification
35:00 Non-stationary markets and adapting to new investing rules
47:00 The Awesome Portfolio and diversification across asset classes
54:50 Options gamma and how dealer positioning impacts volatility
57:00 Why a 2 to 3 percent drop could trigger a VIX spike to 40

In this episode, we break down the most important insights from the week on Excess Returns,, with insights from Vitaliy Katsenelson, Jim Paulsen, and Joseph Shaposhnik. Markets today are being shaped by powerful crosscurrents including AI disruption, defense spending, macro policy shifts, and historically high valuations. In this episode, we highlight the biggest ideas from our conversations and explore what they mean for investors trying to navigate an uncertain world. Topics include the importance of humility in investing, the potential disruption of software by AI, the growing divergence within the economy, and why long-term structural trends like defense spending may create new opportunities.

Topics Covered

• Why humility may be the most important trait for investors in a rapidly changing world
• How uncertainty around AI, geopolitics, and macro policy is widening the range of possible market outcomes
• Why some investors are reducing exposure to software businesses amid AI disruption
• The importance of management teams that can adapt and evolve in periods of technological change
• Jim Paulsen’s framework for understanding the “new era” economy versus the rest of the economy
• Why a small portion of the economy may now be driving overall GDP growth
• The idea that successful investing may be about being “least wrong” rather than perfectly right
• How long-term structural trends like defense spending could create a multi-year investment tailwind
• Why experienced investors focus on analyzing businesses rather than reacting to headlines
• The potential deflationary impact of AI and how lower prices could shift spending across the economy
• Why high market valuations may act as a headwind for future returns
• The importance of deep research and preparation when unexpected events hit markets
• Jim Paulsen’s concept of “policy juice” and how fiscal and monetary policy drive bull markets
• Whether a new wave of policy support could broaden the current market rally beyond mega-cap tech

Timestamps

00:00 Introduction
02:00 Why humility matters more than ever in investing
08:50 AI disruption and the future of software businesses
18:07 The growing gap between the “new era” economy and the rest of the economy
25:00 Surviving first and being the least wrong as an investor
31:43 The potential defense spending supercycle
37:44 AI’s deflationary impact and how innovation reshapes economies
44:42 Why valuations act as a long-term headwind for stocks
50:56 How investors should respond to geopolitical events
56:49 Jim Paulsen on policy juice and the future of the bull market

In this episode of Two Quants and a Financial Planner, Jack Forehand and Matt Zeigler highlight the most important investing insights from recent conversations across the Excess Returns podcast network. Drawing on discussions with Andy Constan, Rob Arnott, Kai Wu, Ben Hunt, Rupert Mitchell, Meb Faber and others, the episode connects ideas across macro, markets, AI, credit cycles and valuation. The conversation focuses on timeless investing principles investors can apply today, including how to evaluate expert opinions, how AI may reshape markets and jobs, what defines a true market bubble, why international stocks may be benefiting from global fiscal spending, and why the best opportunities in markets often come after long periods of underperformance.

Topics covered in this episode

• How to evaluate expert opinions during major market events and filter signal from noise

• Andy Constan’s framework for judging credibility based on experience and confidence

• Why charts showing markets rising after wars are often misleading data mining

• The difference between believing in AI technology and believing AI stocks are good investments

• How AI could both replace and augment human work through the task based structure of jobs

• Rob Arnott’s definition of a market bubble using implausible growth assumptions

• Why many technology leaders ultimately fail to justify the expectations priced into their stocks

• The difference between software companies whose moat is code and those with durable intangible advantages

• How brand, switching costs, distribution and network effects protect enterprise software companies

• Why AI may be one of the most disruptive technologies in history and what that means for markets

• Meb Faber on the myth that the easy money has already been made in international and value stocks

• The behavioral challenge of holding unpopular strategies through long periods of underperformance

• Rob Arnott on why small cap value could outperform large cap growth over the next decade

• Ben Hunt on the point in every credit cycle when lenders say no more

• How rising costs of capital can trigger boom bust credit cycles

• Rupert Mitchell on why global equity markets often follow government fiscal spending

• The growing role of international fiscal policy and capital flows in global market leadership

Timestamps

00:00 Introduction and the idea behind the weekly Excess Returns recap show
03:00 Andy Constan on how to evaluate experts and filter market commentary
11:40 Why charts showing markets rising after wars can be misleading
17:00 Kai Wu on AI technology versus AI investments and the future of work
25:37 Rob Arnott on how to define a market bubble using valuation assumptions
29:35 Kai Wu on software moats, intangible assets and enterprise software durability
35:31 Rob Arnott on how disruptive AI could be for the global economy
39:54 Meb Faber on why the easy money has never been made in markets
43:57 Rob Arnott on small cap value versus large cap growth opportunities
48:39 Ben Hunt on credit cycles and the moment lenders pull back
55:56 Rupert Mitchell on fiscal spending and global equity market performance

In this episode, we explore one of the most important but overlooked questions in investing: what is the purpose of your portfolio? Through a series of powerful clips and reflections from Aswath Damodaran, Meb Faber, Ben Hunt, Cullen Roche, Corey Hoffstein, Daniel Crosby, Larry Swedroe, and Wes Gray, we examine how goals like financial freedom, funded contentment, liability driven investing, retirement planning, and multi generational wealth shape the way we invest. This conversation goes beyond beating the market and focuses on preserving and growing wealth, reducing financial stress, aligning money with meaning, and defining what a life well lived truly looks like.

Topics covered include:

• Why the end game of investing matters more than beating the market

• Preserving and growing wealth vs trying to get rich

• Freedom as the ultimate goal of financial independence

• Funded contentment and what it means to live a life well lived

• Liability driven investing and matching assets to future needs

• The difference between getting rich and staying rich

• Needs vs desires and understanding marginal utility of wealth

• Retirement planning and redefining success beyond a number

• Multi generational wealth and thinking beyond your own lifetime

• The psychological impact of growing up with or without money

• Financial freedom, stress reduction, and peace of mind

• Tactical financial goals vs long term purpose driven investing

• Education, legacy, and investing in the next generation

• Why once you win the game you may not need to keep playing

Timestamps:

00:00 Aswath Damodaran on preserving and growing wealth
10:04 Meb Faber on freedom, contentment, and the hedonic treadmill
22:36 Ben Hunt on funded contentment and finding your pack
28:23 Cullen Roche on risk as uncertainty of consumption
33:25 Corey Hoffstein on liability driven investing and not worrying about money
41:50 Daniel Crosby on financial freedom and living life on your own terms
47:33 Larry Swedroe on needs vs desires and staying rich
55:54 Wes Gray on big blue arrows, tactical goals, and peace of mind

In this episode, we discuss our biggest lessons from our interview with Bill Bengen, the creator of the 4 percent rule, and are joined by special guest Ben Tuscai.

We explore how one of the most widely cited ideas in retirement planning was developed, how it is often misunderstood, and how it should actually be used in real-world financial planning. The conversation bridges academic research and practical application, digging into safe withdrawal rates, sequence of returns risk, inflation, portfolio construction, and what retirement planning really looks like across decades of uncertainty.

• How and why Bill Bengen originally developed the 4 percent rule
• What the 4 percent rule actually means and the most common ways it is misapplied
• Why inflation and sequence of returns risk are the biggest threats to retirees
• The role of diversification and asset allocation in safe withdrawal strategies
• How market valuations and bond yields affect sustainable withdrawal rates
• Why higher equity exposure can sometimes increase retirement safety
• The evolution from the original 4 percent rule to higher safe max withdrawal rates
• The psychology of retirement spending and sleeping well during market stress
• Planning for longer retirements, early retirement, and rising healthcare costs
• U-shaped and rising equity glide paths and why they can improve outcomes
• Bucket strategies, cash reserves, and managing withdrawals through bear markets
• When spending more or taking less risk makes sense after you have already “won the game”

00:00 – Introduction and why the 4 percent rule still matters
03:00 – Bill Bengen explains how the 4 percent rule was created
06:00 – Worst historical retirement periods and inflation risk
10:30 – How advisors actually use the 4 percent rule in practice
15:30 – Inflation, bear markets, and sequence of returns risk
18:30 – Market valuations, CAPE ratios, and withdrawal rate adjustments
23:00 – Financial planning software versus simple rules of thumb
27:00 – Sequence risk explained and why retirees can get hurt early
31:00 – How diversification increased safe withdrawal rates over time
37:00 – Safe max withdrawal rates and optimal equity allocation
42:30 – Longer retirements, FIRE, and planning beyond 30 years
45:30 – U-shaped and rising equity glide paths explained
50:30 – Healthcare costs, longevity risk, and retirement stress testing
56:30 – Bucket strategies, cash reserves, and dynamic withdrawals

Main Topics CoveredTimestamps

In this episode, we kick off our book project, "The Most Important Investing Lesson: What the World’s Best Investors Would Teach You", with a deep dive into the ideas of Michael Mauboussin. We explore his most enduring lessons—concepts that have reshaped how we think about investing, decision making, and life. From base rates to expectations investing, we unpack how Mauboussin’s frameworks can help investors build better models of the world and make more rational, probabilistic decisions.

Main topics covered:

• Why base rates are the most underused yet powerful tool in investing and life

• How to apply expectations investing and reverse engineer stock prices

• Why multiples are not valuation and how to earn the right to use shortcuts

• Understanding the paradox of skill and why luck matters more when everyone is good

• Lessons investors can apply across fields like business, sports, and personal decision making

• How humility, reference classes, and feedback loops improve judgment

• Reflections on learning, writing, and how AI tools are changing the creative process

Timestamps:
00:00 Introduction and the idea behind the book
04:00 Michael Mauboussin on base rates and decision making
10:00 Expectations investing and reversing the valuation process
19:00 Multiples are not valuation—understanding shortcuts
28:00 The paradox of skill and why luck matters more than we think
38:00 How to apply these ideas in investing and life
45:00 Closing thoughts and audience feedback on the book project