Episode Summary
Executive Summary: Jamie Catherwood argues that today’s post-bubble environment rhymes more with the 1920s than the 1970s: pandemic shock, social unrest, speculative reopening, and now a reckoning for frauds and weak business models. He uses financial history to show why bubbles burst, why regulation followed past manias, and why crypto may be at a pre-1933 stage of democratization without adequate safeguards.
Main Topics: Why the 1920s are a better historical analog than the 1970s (Priority: 5/5): Catherwood compares the post-COVID sequence of pandemic, unrest, reopening, recession, and speculation to the post–World War I era and suggests the current period may be entering a similar boom/bust path. Inflation regimes and factor performance (Priority: 4/5): The conversation highlights research showing inflation does not automatically mean poor equity returns, while certain factors—especially momentum—and energy tend to hold up better than broad market assumptions suggest. Fraud, bubbles, and the post-bust unraveling (Priority: 5/5): He explains that fraud cycles lag market cycles: bull markets enable suspicion suppression, while bear markets expose weak models, leverage, and outright frauds like Madoff, Enron, and FTX. Crypto as 19th-century equities redux (Priority: 5/5): Catherwood argues crypto resembles early stock markets: highly democratized, lightly regulated, rife with manipulation, and in need of guardrails for long-term legitimacy and broader adoption. Origins and evolution of bankruptcy, regulation, and the SEC (Priority: 4/5): He traces bankruptcy to the Italian 'broken bench' origin and shows how crises like 1907 and 1929 led to the Fed, securities laws, and investor protections after repeated market abuses. Competitive advantages in markets: access, speed, analysis (Priority: 4/5): The discussion tracks how information edge evolved from privileged access to faster delivery (pigeons, optical telegraphs, ticker tape) to modern analytical advantages and automation tools. Custom indexing and the future of portfolio construction (Priority: 3/5): Catherwood discusses O'Shaughnessy Asset Management’s Canvas platform as an example of personalized, tax-aware investing that may become table stakes for advisors and eventually broader investors.
Key Arguments: Historical analogs matter: the 1920s better explain today’s sequence of pandemic, protest, reopening, recession, and speculative excess than the 1970s. Inflation does not necessarily crush stocks; valuation compression is the real issue, and factors like momentum and energy have historically performed relatively well in inflationary regimes. Fraud becomes visible when markets turn down because financing dries up and narratives no longer conceal weak economics. Crypto is repeating the 1800s stock market pattern of democratization without regulation, which historically led to manipulation, scams, and eventual reform. Regulation after the 1929 crash improved average market quality by filtering out bad actors and creating better investor confidence. The rise of information technology shifts edge from access and speed toward analysis, with automation helping investors spend more time interpreting data. Personalized, tax-efficient indexing can materially improve after-tax returns and may become a competitive necessity for advisors.
Data Points: S&P 500 decline at prior episode reference: about 11% below its high - Used to describe the market when the hosts last spoke, before the bear market fully unfolded High-inflation regimes studied by JPMorgan: 8 regimes - Analysis of factor and sector performance across inflationary periods Best factor in inflation regimes: momentum - JPMorgan paper cited as the top-performing factor across inflationary regimes Worst factor in inflation regimes: size - JPMorgan paper cited as the weakest factor across inflationary regimes Best sector in inflation regimes: energy - JPMorgan paper found energy strongest across all eight inflation regimes Worst sector in inflation regimes: consumer durables - JPMorgan paper found consumer durables weakest across inflation regimes Average five-year IPO return before 1933 Securities Act: -52% - Non-NYSE IPOs before the Securities Act were extremely poor performers Average five-year IPO return after 1933 Securities Act: +5.7% - Non-NYSE IPOs improved materially after securities regulation San Francisco population displaced: 30% to 70% - Approximate share of the city made homeless after the 1906 earthquake and fires British gold supply sent to San Francisco: 13% - Britain shipped gold to cover massive insurance payouts after the 1906 disaster Losses harvested on Canvas accounts: 6,000 times - First half of 2022 tax-loss harvesting activity on custom-indexing accounts Net losses generated for tax purposes: $100 million - Canvas tax-loss harvesting during the first half of 2022 Average tax alpha from Canvas: 170 basis points - Estimated after-tax return benefit for taxable Canvas accounts Estimated after-tax return example: 7% index return became 8.7% after tax - Illustration of tax alpha from custom indexing Newsletter subscribers: 14,500 - Audience size for Investor Amnesia Sunday newsletter
Pivotal Quotes: "the fraud cycle lags the market cycle" — Jamie Catherwood: Explaining why scandals and weak firms are exposed after bull markets end "democratization without regulation" — Jamie Catherwood: Describing crypto’s current state relative to 19th-century equity markets "a stock price is the best prosecutor and defense that you can have" — Jamie Catherwood: On how rising prices shield companies and falling prices invite scrutiny
Implications: Investors should expect more post-bubble fraud exposure, greater crypto regulation, and a shift toward personalized, tax-aware portfolio construction. History suggests market structure improves after abuses are surfaced and rules catch up.
About We Study Billionaires
We interview and study famous financial billionaires, including Warren Buffett, Ray Dalio, and Howard Marks, and teach you what we learn and how you can apply their investment strategies in the stock market. We Study Billionaires is the largest stock investing podcast show in the world with 180,000,000+ downloads and is hosted by Stig Brodersen, Preston Pysh, William Green, Clay Finck, and Kyle Grieve. This podcast also includes the Richer Wiser Happier series hosted by best-selling author Wi...