Bull Market and Bear Market
Bull markets are sustained price uptrends; bear markets are sustained downtrends of 20% or more. The fundamental cycle framework for equity investing.
Bull Market and Bear Market Explained
Bull markets and bear markets describe the fundamental cyclical pattern of equity markets. A bull market is a sustained period of rising prices, typically defined as a 20%+ advance from a recent low. A bear market is the opposite: a 20%+ decline from a recent high. These cycles define the equity investing experience and shape virtually every other market dynamic.
What they measure
The technical definitions are based on price movements from peaks and troughs:
- Bull market: 20%+ rise from a recent low, typically lasting more than two months.
- Bear market: 20%+ decline from a recent high, typically lasting more than two months.
- Correction: 10-20% decline from recent high. Less severe than bear market.
- Pullback: 5-10% decline. Normal market noise.
Bull markets historically have been longer than bear markets:
- Average bull market: Approximately 5 years, with returns typically 150-250%.
- Average bear market: Approximately 1-1.5 years, with declines typically 30-40%.
How to use it in practice
Recent major bull and bear cycles:
1982-2000 Secular Bull Market: Approximately 1,500% gain in S&P 500. Multiple cyclical bears within (1987, 1990) but overall powerful uptrend driven by disinflation, demographics, and globalization.
2000-2002 Dot-Com Bear: Approximately -50% S&P 500, -78% Nasdaq. Triggered by tech valuation collapse and economic recession.
2002-2007 Cyclical Bull: Approximately +100% S&P 500. Driven by housing boom, China growth, and easy monetary policy.
2007-2009 Financial Crisis Bear: Approximately -57% S&P 500. The largest bear market since the Great Depression.
2009-2020 Bull Market: Approximately +400% over 11 years. The longest bull market on record. Driven by QE, low rates, and corporate earnings recovery.
2020 COVID Bear: -35% in just 33 days, the fastest bear market on record. Recovered quickly due to massive policy response.
2020-2021 Bull Market: Powerful recovery driven by stimulus, low rates, and reopening dynamics.
2022 Bear Market: -25% peak-to-trough as Fed tightening hit valuations, particularly in growth stocks.
2022-2026 Bull Market: Recovery from 2022 lows with significant new highs in 2023-2025.
For positioning across cycles:
Early bull market: Typically the best returns. Cyclicals, small caps, and high-beta names lead. Risk-on positioning rewarded.
Mid bull market: Quality begins outperforming. Earnings growth becomes more important than multiple expansion. Sector leadership often shifts.
Late bull market: Defensive sectors begin outperforming. Quality bias important. Volatility typically rises. Often coincides with Fed tightening cycles.
Early bear market: Classic recession hedges work. Long Treasuries ($TLT), defensive sectors ($XLP), low-volatility strategies outperform.
Late bear market: Maximum pessimism, often counterintuitively the best entry points. Selectivity important; not all stocks recover equally.
The signals that often differentiate corrections from full bear markets:
Correction signals (more limited downside):
- Earnings remain stable or growing
- Credit conditions don't materially tighten
- Yield curve doesn't deeply invert
- Volatility rises but doesn't sustain at extreme levels
Bear market signals (deeper downside):
- Earnings begin declining materially
- Credit spreads widen significantly
- Recession signals confirmed (rising unemployment, GDP contraction)
- Yield curve inversion sustained for extended period
- Volatility ($VIX) sustained above 30+ for extended periods
The 2022 example is instructive: it met technical bear market criteria (-25%) but didn't produce the classic recession-driven dynamics. Earnings remained stable, employment grew, credit didn't break. The recovery began in late 2022 and produced the powerful 2023-2025 advance.
For long-term investors, several principles emerge:
Time in market beats timing the market: Missing the best 10 days of any decade typically reduces long-term returns by 30-50%. These best days often occur during bear markets, making timing strategies especially difficult.
Bear markets create the best long-term opportunities: The best forward returns typically come from buying during periods of maximum pessimism.
Quality survives bear markets: Companies with strong balance sheets, durable competitive positions, and reasonable valuations weather bear markets better and recover faster.
Recoveries can be rapid: The 2020 recovery was unusually fast (35% drop in one month, full recovery in five months). Modern markets seem capable of compressing typical historical patterns.
Common mistakes
Trying to time bull-to-bear transitions perfectly. Markets typically peak when news is most positive and bottom when it's most negative. The contrarian instinct that capital protection requires often conflicts with what feels safe in the moment.
Confusing technical bear markets with recession bear markets. The 2022 bear market was unusual in not being driven by earnings collapse. Different bear markets have different characteristics and require different responses.
Selling at bottoms. Maximum pain comes near market troughs, often triggering panic selling that locks in losses just before recovery. Discipline matters most when it's hardest.
Ignoring duration of cycles. Bull markets typically last much longer than bear markets. Maintaining defensive positioning throughout extended bull periods (waiting for the bear that takes years to arrive) typically destroys long-term returns.
ACCE perspective
Bull and bear cycles aren't directly in our scoring system, but they shape our overall portfolio framework. Our financial models recognize that different cycle phases reward different positioning, and our weekly digest provides cycle context for individual stock and sector decisions.
For investors building portfolios, the most useful framework is recognizing that bull and bear markets are part of long-term equity ownership rather than disasters to avoid. Maintaining disciplined exposure with quality bias through full cycles tends to produce better long-term outcomes than attempts to perfectly time entries and exits.