Deutsche Bank's 200-Year Study Shows Long-Term Stock Market Resilience Despite Current Valuation Concerns

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This analysis is based on the MarketWatch report [1] published on November 5, 2025, which detailed Deutsche Bank’s comprehensive 200-year stock market study.
Deutsche Bank’s research team, led by Jim Reid, conducted an unprecedented analysis spanning two centuries of market data across 56 countries, providing compelling evidence for long-term equity investing despite current market concerns. The study found that over 25-year investment horizons, global stocks have underperformed “cash under the mattress” just 0.8% of the time, and even when adjusted for inflation, stocks have underperformed cash only 7.5% of the time over such periods [1].
The timing of this research is particularly relevant given current market conditions. The S&P 500’s forward price-to-earnings ratio recently topped 23, reaching its highest level in years and well above its historical averages [1]. Recent market volatility, including Tuesday marking the worst day on Wall Street since October 10, has been driven by concerns about lofty valuations and a selloff in speculative areas [1]. Current market data shows the S&P 500 ETF (SPY) at $677.57 with a P/E ratio of 28.61, reflecting elevated valuation levels [0].
The Deutsche Bank study provides crucial historical context for current market decisions. While short-term risks are elevated due to current overvaluation indicators and market concerns about AI bubbles, the 200-year dataset demonstrates that maintaining equity exposure over 25+ year periods has been overwhelmingly successful. The current combination of elevated P/E ratios (28.61 for SPY) [0] and historically low dividend yields mirrors conditions that preceded previous market corrections, suggesting caution for near-term returns while maintaining confidence in long-term equity outcomes. The research emphasizes that investment horizon is the critical factor in equity investing success, with negative long-term returns being exceptionally rare throughout market history [1].
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
