There are milestones that reshape civilization quietly, without fanfare. The 100-year anniversary of reliable U.S. stock market data is one of them. Most investors won't mark it. Most won't even know it exists. But according to Dimensional Fund Advisors Founder and Chairman David Booth1, this centennial — rooted in the work of the Center for Research in Security Prices (CRSP) — may be the single most consequential event in the history of modern investing.
In a landmark piece published April 13, 2026, Booth traces the intellectual lineage that runs from a 1960s University of Chicago research project straight through to the index fund revolution, Eugene Fama's Nobel Prize, and the founding of Dimensional itself. The essay is part origin story, part manifesto, part proof of concept — and for advisors who work in the evidence-based space, it is essential reading.
Before CRSP, Everyone Was Guessing
The story begins with a problem that seems almost unbelievable today. Before CRSP assembled its database of monthly stock returns going back to 1926, no one — not fund managers, not academics, not financial journalists — could answer the most basic question in investing.
As Booth writes: "Before this data became available, people could claim anything about investing. Nobody knew what the total stock market had really returned. Was it 2% a year? Was it 5%? Even the 'experts' couldn't tell you. Stockbrokers gave advice, fund managers charged fees, and financial journalists wrote columns, but none of them could point to reliable long-term data on what stocks had actually delivered. They were all just guessing."
That single paragraph reframes the entire history of financial advice before the data era. The industry was built on conjecture. Authority substituted for evidence. The investor had no recourse.
Professors Jim Lorie and Larry Fisher changed that. Their goal was straightforward: answer what stocks had really returned. Their methodology was rigorous — building a database that captured total returns including dividends, and critically, avoided survivorship bias by including companies that had failed along the way. The dataset was made freely available to other researchers, seeding a generation of academic inquiry.
When Lorie and Fisher ran the numbers, the answer surprised nearly everyone. "US stocks had compounded at about 9% annually from 1926 to 1960." And economist Michael Jensen found that for the period 1945–1964, that return was greater than what most mutual fund managers delivered after fees. The active management industry had a data problem — and it had just been exposed.
A Century of Compounding: What the Numbers Actually Say
That original 35-year dataset has now grown to 100 years. And the story has not changed.
"The market's overall performance has held remarkably steady, with returns having compounded at around 10% per year over the full century."
Booth is deliberate about what that means in practice. Using the CRSP Deciles 1–10 total market return index as a hypothetical:
- $1,000 invested at end of 2001 → $8,799 by end of 2025
- $1,000 invested 50 years prior → ~$306,433
- $1,000 invested 100 years prior → ~$17.1 million
The compounding math is staggering. A 10% annual return doubles money approximately every seven years — without stock-picking, without market timing, without edge. Just patience and participation.
The consistency of the evidence is itself significant. Booth notes: "Anyone familiar with economic research knows how unusual and compelling it is for later data to confirm original findings." In a field where academic debates routinely unravel under new data, a century of stable evidence is nothing short of extraordinary.
Markets as a System: Order Beneath the Chaos
Booth is careful to distinguish between the year-to-year volatility investors experience and the structural logic that underlies long-run returns. The surface of markets looks chaotic — up 25% one year, down 30% the next. But the architecture beneath is coherent.
"This 'order' depends on conditions that make fair pricing possible: a system built on enforceable agreements, investor protections, transparency, enormous trading volumes, and sound accounting standards."
In such a system, the wisdom of crowds operates without corruption. Insider trading is discouraged and punished. Competition is fierce and fair. Price discovery reflects the aggregated knowledge of millions of participants acting in self-interest. The result is a market where no individual investor needs special access or privileged information to benefit.
This framing matters enormously for advisors whose clients remain skeptical of markets — clients who believe, not unreasonably, that the system is rigged against them. Booth's response to that fear is direct: "Many people still think of themselves as outsiders when it comes to finance. They see insiders making money and assume the game is rigged. Before the CRSP data existed, there was good reason to worry." But the data settled the question. Public markets, properly structured, are accessible to everyone.
The Chain of Inquiry That Built an Industry
Booth's essay is also a personal intellectual genealogy — and one of the most compelling sections maps the human chain of curiosity that turned a dataset into a philosophy.
In 1963, a data analyst named Mac McQuown attended a preliminary CRSP presentation by Jim Lorie and was captivated. Lorie directed him to a graduate student named Gene Fama, who was exploring what the new data revealed about how markets actually work. Fama became a professor. Booth became Fama's grad student. McQuown later hired Booth at Wells Fargo in 1971 to help develop one of the first index funds. When Booth founded Dimensional in 1981, McQuown was one of his first calls.
"It was the CRSP data and the research Gene and other leading academics were conducting that gave us the confidence to do something different. We weren't guessing. We had decades of evidence showing that patient, diversified investors get rewarded over time."
That confidence — empirically grounded, not ideologically driven — is the differentiator. Dimensional was not built on a hunch. It was built on a century of evidence-in-progress.
Investing in Human Ingenuity
Booth closes with the most philosophically resonant argument in the piece. What are investors actually buying when they buy the broad market? His answer is neither technical nor financial.
"What powers it all is human ingenuity. People have ideas, form companies, and need capital to grow. Investors provide that capital and share in the upside... That human ingenuity is what you're really investing in when you buy the market."
For advisors, this framing is invaluable. When clients panic during drawdowns, the conversation cannot be purely about volatility or standard deviation. It has to be about what markets actually represent — the collective drive of millions of people to build, solve, improve, and innovate. That drive, Booth argues, has powered a 10% annualized return for 100 years. And there is no fundamental reason it should stop.
5 Key Takeaways for Investors
1. Evidence beats expertise.
Before CRSP, financial advice was guesswork dressed as authority. A century of data has replaced conjecture with evidence. Investors today have a 100-year track record — the most credible dataset in finance.
2. Compounding rewards patience, not prediction.
$1,000 invested in the broad market 100 years ago would be worth approximately $17.1 million today. That outcome required no stock-picking, no market timing — only staying invested.
3. Markets are fair by design.
In properly structured public markets with transparency, investor protections, and fierce competition, no insider edge is required. The data is available to everyone. The returns are accessible to everyone.
4. The story has stayed the same for 100 years.
Every decade, new data has confirmed the original findings: patient, diversified investors get rewarded. Booth's most powerful argument is the one he makes implicitly — the evidence is not fragile.
5. You are investing in human ingenuity.
The market is not an abstraction. It is the aggregated effort of millions of people working to improve products, services, and outcomes. That engine has run for a century. Confidence in its continuation is not optimism — it is the logical conclusion of the data.
Footnote:
1 Booth, David. "The Miracle of Markets and the 100-Year Dataset That Changed the World" Dimensional Fund Advisors. April 13, 2026.
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