Market Regimes: Bull Markets, Bear Markets, and Crashes

You’ve probably heard some version of “stocks return X% per year on average over the long run.” The average isn’t lying, but it hides something: the market never actually moves at its average. It cycles through several states with completely different temperaments — rising for years, then losing half its value, then rising again. These states are market regimes. Knowing which regime you’re in, and that regimes switch, matters more than memorizing any average: expectations, risk management, even strategy selection all depend on it.

Bull Markets: The State That Occupies Most of the Time

A bull market is a period of persistently rising prices, usually measured in years. Its typical face is a set of mutually reinforcing conditions: strong economic growth, rising corporate earnings, high optimism and risk appetite, and corrections that stay shallow and short — dips get bought quickly. Interest rates may be rising during a bull market, but not always.

A few famous bull runs give you a sense of magnitude: 1982–2000 ran roughly 18 years (interrupted by the 1987 crash and the 1998 crisis, but trending up overall); 2009–2020 ran about 11 years, one of the longest in history, ending with the COVID crash; then came the post-COVID recovery of 2020–2024.

The average bull market lasts about 4–5 years — but there’s that deceptive average again: bull markets can last months or more than a decade, and the mean has almost no predictive power here.

Bear Markets: The Other Half of the Average

The bull market’s mirror image is the bear market: a period of falling prices, conventionally defined as a 20%+ decline from recent highs. Its face inverts the bull’s conditions item by item: pessimism dominates, growth slows or contracts, corporate earnings decline, risk aversion spikes, and central banks often start cutting rates to fight the fire. And in contrast to the bull’s shallow-dip-quick-repair pattern, bear market recoveries tend to be slow and painful.

Numbers say it better than adjectives:

Two things are worth noticing in this table. First, bear markets vary enormously — from 33 days to 34 months, from -25% to -86%; “a bear market” is not a standardized event. Second, recent decades show a pattern: the fastest declines (panic-driven drops like COVID) often repair fastest, in a V shape, while slow grinds (the 2000–2002 valuation unwind) take longest to recover. But don’t promote that to a law — 1929 fell fast and deep, and took many years to repair.

Crashes: The Extreme Form

The steepest rows in that table lead to the third state. A market crash is a sudden, dramatic decline — typically 10%+ within a single day or week. The triggers are almost always some combination of the same ingredients: unexpected news (economic data, geopolitical events) lights the fuse, panic selling takes over, a liquidity crisis amplifies it (buyers collectively vanish, so any sell order punches a hole in the price), and leverage unwinding adds the final kick — margin calls force selling, and selling begets more selling. There’s also a modern variant, the flash crash: an extremely rapid drop within a single day, sometimes caused by algorithmic trading. In the 2010 Flash Crash, the Dow fell about 1,000 points in minutes before recovering most of it.

The risk-management lesson of crashes hides in the arithmetic: after a 50% decline, you need a 100% gain to get back to even. Losses and recoveries are asymmetric, and the asymmetry worsens the deeper you fall. “Protect capital in a crash” isn’t a slogan — it’s a direct corollary of compounding math.

How the Cycle Turns: The Four-Phase Narrative

To string bulls, bears, and crashes into a loop, the technical-analysis tradition offers a widely repeated four-phase narrative. Accumulation: the market is still depressed and sentiment negative, but patient money quietly starts building positions. Markup: prices turn up, economic data improves, more buyers arrive, the trend becomes unmistakable. Distribution: the early money starts handing inventory to the late-arriving public — prices may still rise, but gains slow, volume swells, and sentiment turns euphoric. Markdown: selling begets selling, those who waited too long eat the losses, and prices fall until they’re low enough to attract accumulation again. Then the loop restarts.

The model’s value is as a narrative frame, not a forecasting tool — you cannot reliably tell in real time whether you’re in “distribution” or “mid-markup”; it only becomes clear in hindsight. Treat it as a sketch of participant behavior, not a timing device.

Market Cycles vs. Economic Cycles: Which Moves First

A common mistake is equating the market cycle with the economic cycle. They’re related, but systematically offset:

The direction of the offset is fixed: markets are leading indicators, anticipating economic changes roughly 6–9 months ahead. This explains a phenomenon that confuses newcomers in every recession — “the economic data is terrible, why are stocks rallying?” Because the market isn’t pricing today’s data; it’s pricing the expectation 6–9 months out. By the time a recession is confirmed in the data, the bear market is often mostly over.

Surviving the Switches

Since regimes switch, the natural impulse is to predict the switch and jump in and out ahead of it. Here comes the cold water: don’t try to time the market. Multiple studies converge on the same result — missing the best 10–20 days of any market cycle dramatically reduces long-run returns, and those best days tend to cluster right next to the worst days, so the people who fled in panic are precisely the ones who miss them. For most investors, staying invested beats jumping in and out.

The more reliable tool is diversification across asset classes: bonds often rally when stocks fall (negative correlation), gold tends to hold up in crises, and international exposure dilutes single-country risk. These correlation structures do, at regime switches, the job market timing is trying to do — without requiring you to call the turn. On top of that sits an often-forgotten option: cash is itself a position. Raising the cash allocation in a late-stage bull market isn’t timing; it’s turning the downside-risk budget down a notch.

The Other Axis: Volatility Regimes

Direction (bull/bear) isn’t the only axis for slicing regimes. Markets also switch between high-volatility and low-volatility states, and this axis bears even more directly on strategy selection: low-vol periods have small daily moves and stable trends, where trend-following strategies thrive; high-vol periods have large daily moves and whipsaw reversals, where mean-reversion strategies tend to do better. The same strategy can look like two different strategies across the two — which is why a backtest must span multiple regimes to mean anything.

The standard yardstick for this axis is the VIX index (CBOE Volatility Index), which measures expected market volatility; as a rule of thumb, VIX above 30 marks a high-volatility regime.

One note on the references below: Prechter belongs to the Elliott Wave tradition, which lacks robust empirical support in peer-reviewed finance literature and is critically reviewed in Aronson, Evidence-Based Technical Analysis (2006). It’s listed for historical context, not as an endorsement.

References

• Stock Trader’s Almanac (annual publication).
• Prechter, The Wave Principle of Human Social Behavior. New Classics Library, 1999. ISBN: 978-0-932125-11-6.
• Morgan, Markets in Crisis. CFA Institute Research Foundation, 2019.