China Stock Market Crash & 'Black Monday'
Shanghai Composite fell 45%. Global markets tumbled on 'China fears'.
The Shanghai Composite Index rose 150% in one year on margin debt, then collapsed 45% in 2 months. On August 24, 2015 — dubbed 'Black Monday 2' — the Dow Jones fell 1,000 points at open as China's devaluation of the yuan triggered global panic. The S&P 500 dropped 11% in days. China's government spent $200 billion trying (and largely failing) to prop up markets.
Key Facts
- Shanghai Composite fell 45% in just 2 months
- The Dow fell 1,000 points at open on August 24, 2015
- China burned $200 billion in reserves trying to stabilize markets
Market Impact
Shanghai Composite
-45.0%
Jun–Aug 2015
S&P 500
-11.0%
Aug 2015
Emerging Markets (EEM)
-25.0%
2015
SPY Performance - From Event Start
Monthly price change (%) from June 12, 2015. Extended 12 months beyond August 26, 2015 for recovery context.
💡 Run SPY from Black Monday 2 to see the rapid recovery.
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What this means
- Single historical episodes are context, not forecasts. Market paths can differ meaningfully in future cycles.
- Returns shown around major events can be highly sensitive to entry and exit dates, so compare multiple windows.
- Risk management and diversification matter because large drawdowns and sharp rebounds often cluster together.
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What happened
The Shanghai Composite Index rose 150% in one year on margin debt, then collapsed 45% in 2 months. On August 24, 2015 — dubbed 'Black Monday 2' — the Dow Jones fell 1,000 points at open as China's devaluation of the yuan triggered global panic. The S&P 500 dropped 11% in days. China's government spent $200 billion trying (and largely failing) to prop up markets.
Why it mattered
- Shanghai Composite fell 45% in just 2 months
- The Dow fell 1,000 points at open on August 24, 2015
- China burned $200 billion in reserves trying to stabilize markets
Worked example
Historical hypothetical - for educational purposes only. Not investment advice.
Scenario
$10,000 in SPY at the start of China Crash 2015
Hypothetical outcome
Fell to ~$5,500 at the trough (-45%)
Key lesson
Investors who held through the trough - rather than selling at the bottom - participated in the subsequent recovery. Long-term holders of broad indices eventually saw full recovery and new highs.
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What happened during China Crash 2015?
The Shanghai Composite Index rose 150% in one year on margin debt, then collapsed 45% in 2 months. On August 24, 2015 — dubbed 'Black Monday 2' — the Dow Jones fell 1,000 points at open as China's devaluation of the yuan triggered global panic. The S&P 500 dropped 11% in days. China's government spent $200 billion trying (and largely failing) to prop up markets.
How did Shanghai Composite perform during this period?
Shanghai Composite fell 45% during Jun–Aug 2015. While painful for investors who sold, those who held through the decline often participated in the subsequent recovery.
What would $10,000 invested in SPY at China Crash 2015 be worth today?
Use our Investment Calculator with SPY starting 2015-08-24 to find the precise current value. Run SPY from Black Monday 2 to see the rapid recovery. Historical performance does not guarantee future results.
How long did it take markets to recover from China Crash 2015?
Shanghai Composite fell 45%. Global markets tumbled on 'China fears'. Recovery timelines varied by asset class: broad indices like the S&P 500 eventually recovered to pre-crash levels, though the duration ranged from months (2020) to years (2008) or even decades (1929). Our timeline tool lets you run these exact recovery scenarios.
What investing lessons does China Crash 2015 teach?
Market crashes are a recurring feature of investing, not an anomaly. China Crash 2015 reinforces several key lessons: diversification reduces but doesn't eliminate crash risk; panic-selling at the bottom locks in losses; and historically, patient investors who held through or bought during crashes were rewarded over multi-year horizons. Use our calculator to run specific "what if I had bought / sold at this exact point" scenarios.
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All calculations are hypothetical and educational only. Data sources: official financial exchanges and public datasets. View full methodology →