Most attempts to jump in and out of the market cost money. Some rule‑based approaches cut drawdowns, at a price. Here is the evidence on both sides, and the difference between predicting and managing risk.
Market timing means moving money in or out of the market based on a view of what comes next. It ranges from gut calls (“sell before the election”) to fixed rules (“hold stocks only while the index is above its 200‑day average”).
The two need separate answers. Discretionary timing depends on being right twice: when to get out and when to get back in. Rule‑based approaches remove emotion but still pay a cost when the rule is wrong.
The strongest evidence is what investors actually earn. Morningstar’s Mind the Gap 2026 study covers the 10 years ended Dec 31, 2025. The average dollar in US mutual funds and ETFs earned 8.7% a year. The funds themselves returned 9.9%. The gap comes from the timing and size of investors’ purchases and sales.
The second piece of evidence is how concentrated gains are. J.P. Morgan Asset Management’s 2025 Guide to Retirement estimates that missing the 10 best days of the past 20 years would have cut a portfolio’s annualized return by almost 50%. The best days tend to arrive close to the worst ones, when fear is highest.
| Source | Finding | Period |
|---|---|---|
| Morningstar, Mind the Gap 2026 | Investors earned 8.7% a year vs 9.9% for their funds | 10 years to Dec 31, 2025 |
| J.P. Morgan, 2025 Guide to Retirement | Missing the 10 best days cut annualized return by almost 50% | Past 20 years |
Some, if “work” means lower drawdowns rather than higher returns. Trend‑following rules have a long research history. They tend to sidestep part of slow, grinding bear markets. Exent tested the simplest version: hold the S&P 500 (SPY) while it is above its 10‑month moving average, otherwise hold Treasury bills.
| Hypothetical backtest, Jul 2016–Sep 2026 | Buy and hold SPY | 10-month trend filter | 60/40 stocks and bonds |
|---|---|---|---|
| Annual return | 15.2% | 9.4% | 9.5% |
| Volatility | 15.2% | 11.6% | 10.1% |
| Sharpe ratio | 0.88 | 0.66 | 0.75 |
| Max drawdown (monthly) | −23.9% | −21.9% | −20.0% |
| COVID crash, 2020 | −19.4% | −7.7% | −11.5% |
| 2022 | −18.2% | −20.1% | −15.8% |
| $10,000 grew to | $42,626 | $25,192 | n/a |
Source: the same strategy backtests, monthly data, hypothetical and before taxes. The trend filter softened the COVID crash. It did worse in 2022 and gave up a lot of return in a strong decade. The full results are on the trend filter strategy page.
Not quite. Timing tries to predict the next move and go all in or all out. Risk management changes how much risk you hold as conditions change, without needing a forecast. Examples: trimming a position that has grown too large, holding a cash buffer you can live with, or reducing leverage when credit markets are stressed.
Regime frameworks sit between the two. They classify the current backdrop, not the future. Exent’s regime model reads four pillars: liquidity, credit stress, the economic cycle and sentiment. The output is a description of conditions that an investor can use when sizing risk, not a buy or sell signal. More in what is a market regime?
Because it is easy to find a rule that would have worked. Test enough rules on the same history and one will look brilliant by chance. That is backtest overfitting.
The 60/40 column above makes the point: a fixed allocation reduced risk about as much as the trend rule, with no signals at all.
Most set their risk level in advance and stick to it. They decide what drawdown they can live through, size positions to match, and rebalance on a schedule. Then a crash replay shows whether the portfolio really fits that limit. You can see how your own holdings behaved in past crashes with a portfolio stress test, and read about the all‑out version of timing in should I go to cash before a crash?
Very few investors do it consistently. Studies of actual investor returns, such as Morningstar’s Mind the Gap, show timing decisions cost the average fund investor about 1.2 percentage points a year over the 10 years to 2025.
Usually not on return. In Exent’s hypothetical backtest from 2016 to 2026, a 10-month trend filter cut volatility and the COVID drawdown but returned 9.4% a year against 15.2% for the S&P 500.
Historically, for most investors, yes. Gains are concentrated in a few strong days that often follow the worst days, so being out of the market tends to cost more than it saves.
Market timing tries to predict moves and switch in or out. Risk management sets how much risk you hold based on your limits and current conditions, without needing to forecast the next move.
Market Intelligence reads the market regime and tells you whether the backdrop favors taking risk or protecting capital.
Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.