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The Anatomy of a Market Crash: 100 Years of Wall Street's Darker Days
Markets have continually hit record highs, what happens when that stops?
Happy Sunday everyone.
With markets at record highs I’m hearing valid recession and crash fears from multiple friends and family.
I wanted to do a quick write-up on looking back at Wall Street’s darkest days. By understanding the DNA of past crashes, we can better navigate whatever comes next.
Let’s dig in…
S&P 500 Corrections >5% since March 2009 Low
full corrections + context (click for larger image)
Median correction: 26 days, -7.6% decline
Notable Declines:
2022-23 Banking Crisis: SVB’s $209B collapse sparked worst banking crisis since 2008
2020 COVID Crash: Fastest 30% decline ever; oil hit -$37; Fed launched $2.3T response
2018 Q4 Selloff: Powell’s “long way from neutral” comment triggered worst December since 1931
2015-16 China Shock: Yuan devaluation sparked global contagion fears; oil fell below $30
2011 US Downgrade: First-ever US credit rating cut; European crisis spread to Italy
The Big Five: Market’s Greatest Hits
History shows a surprising truth about market crashes: the fall's size doesn't affect the recovery's length. Some of the steepest plunges bounced back within months, while corrections that appeared modest dragged on for years.
What interests me isn't how far markets fall, but why they fell to begin with.
The Great Depression (1929-1932)
Drop: 89% | Recovery: 25 years
Trigger: Speculation, margin trading, bank failures
The mother of all crashes began with unprecedented speculation. Investors took out large loans to buy stocks, creating a bubble that pushed the average P/E ratio to 32.6, which approached today’s 33.4. When they made margin calls and banks started to fail, the Dow plummeted from 381 to 41. The market did not recover completely until 1954.
→ Lesson Learned: Excessive leverage can turn a market correction into a systemic collapse. When everyone’s borrowed to the hilt, there’s no cushion for the fall.
Black Monday (1987)
Drop: 22.6% (single day) | Recovery: 2 years
Trigger: Programmatic trading, portfolio insurance
Modern markets met their first algorithm-driven crash. Portfolio insurance programs were meant to guard against losses. Instead, they worsened them by automatically selling into a falling market. Despite a record plunge, strong fundamentals helped markets end 1987 up.
→ Lesson Learned: Technical selling can cause short-term chaos. But the fundamentals will drive long-term recovery.
Dot-Com Bubble (2000-2002)
Drop: 49.1% | Recovery: 7 years
Trigger: Tech speculation, excessive valuations
The internet changed everything—except the rules of valuation. Pets.com had a billion-dollar valuation on almost no revenue. It pushed the NASDAQ to 5,048 before reality hit. The fall to 1,114 taught investors that even revolutionary technology must eventually produce cash flow.
→ Lesson Learned: Innovation can’t change the basics of finance. Price matters, even in a technological revolution.
Global Financial Crisis (2007-2009)
Drop: 56.8% | Recovery: 4 years
Trigger: Housing collapse, mortgage crisis
When housing prices couldn’t rise forever, the entire financial system trembled. The S&P 500’s drop to 665 marked the bottom of a crisis that erased $8 trillion in market value. Yet, despite the systemic collapse, markets recovered faster than from the Dot-Com bubble.
→ Lesson Learned: Even systemic crises end when policymakers take decisive action. The depth of the response matters more than the depth of the crisis.
COVID Crash (2020)
Drop: 35.4% | Recovery: 5 months
Trigger: Global pandemic
The fastest major crash in history met the most aggressive policy response ever seen. As the world locked down, markets plunged 35% in 23 trading days. But unprecedented Fed support and fiscal stimulus fueled a recovery that was historic in equal measure.
→ Lesson Learned: Quick recoveries are possible after severe shocks. This is true if the financial system is intact and the policy response is swift.
History doesn’t repeat itself, but it often rhymes.
A Hidden Pattern: Speed vs. Depth
A century of market data reveals a crucial pattern about crash dynamics:
Fast Crashes = Fast Recoveries
1987 Black Monday: 2-year recovery (panic without fundamental change)
2020 COVID Crash: 5-month recovery (external shock with massive response)
2018 Fed Hike Panic: 4-month recovery (sentiment shift without damage)
When fundamentals remain strong, confidence can return as quickly as it left. These crashes are like summer storms—violent but quick to clear.
Slow Burns = Longer Healing
1929 Great Depression: 25-year recovery (structural collapse)
2000 Dot-Com: 7-year recovery (valuation reset)
2007 Financial Crisis: 4-year recovery (systemic damage)
Gradual declines often mask deeper problems. When the system itself needs repair, no amount of confidence can speed up recovery. These are more like climate change than weather—slow-moving but profound.
What’s Going On Today
Valuation Concerns: The Shiller P/E
The Shiller P/E (CAPE ratio) measures market valuation using 10 years of inflation-adjusted earnings rather than a single year.
Today’s reading signals valuation risk:
Today’s Shiller PE: 33.4 (near 1929 levels)
1929 Peak: 32.6 (before 89% crash)
2000 Peak: 44.2 (before 49% decline)
2008 Peak: 27.1 (before 56% drop)
Historical Average: 16.0
Implication: While high valuations alone don’t predict crashes, they limit your margin of safety. The current reading suggests we’re paying double the historical average for earnings, exceeded only by the dot-com bubble. Like a pressure gauge rising into the red zone, elevated Shiller P/E levels historically signal lower long-term returns ahead.
→ At historically high valuations, markets can act like a house of cards - small shocks can trigger big declines.
Market Concentration
Magnificent Seven: 31.6% of S&P 500 (AI-driven tech giants)
1999 Top Tech: 29% of S&P 500 (dot-com leaders)
1929 Top Industrial: 25% of Dow (manufacturing giants)
→ Heavy concentration in any sector has historically indicated a warning sign. Diversification beyond market leaders is crucial.
Monetary Environment
Current Fed Funds: 4.5% to 4.85% (fighting inflation)
1929: 6% (fighting speculation)
2000: 6.50% (managing boom)
→ High rates can expose hidden leverage in the system. Companies with strong balance sheets and sustainable cash flows are safer* havens.
My Thoughts
Historical crashes offer three critical lessons:
Speed Signals Severity
Fast crashes usually heal faster than slow declines
Don’t panic-sell during sharp drops
Look for buying opportunities if fundamentals are strong
Watching for Weakness
Systemic issues take longer to resolve than panic selling/crashes
Watch leverage levels, credit markets, and banking health
Early warning signs matter more than market levels
Spread Your Bets
Concentration risk matters more than absolute valuations
Today’s Magnificent Seven might be tomorrow’s cautionary tale
Diversify across sectors, styles, and geographies
The next crash is inevitable—but also so is the recovery that follows (so far).
Today’s market is writing its own verse to a very old song.
The question isn’t whether we’ll see another crash, but whether we’ll be prepared for it when it arrives.
Stay curious 🙂
-John
Analysis based on market data and regulatory filings as of November 30th, 2024.