Mean Reversion — return to average in financial markets

What is Mean Reversion?

Mean reversion (regression to the mean) is a statistical and financial concept stating that values that deviate significantly from their historical average will return to it over time. In the context of financial markets, this means that assets that have risen sharply tend to fall — and vice versa.

Theory in practice

Where does mean reversion come from?

Financial markets oscillate between extremes. Excessive optimism pushes prices too high, excessive pessimism — too low. Over time, fundamentals (company profits, economic growth) pull prices back to their "normal" level.

Examples of mean reversion

Market P/E ratio: The historical average P/E for S&P 500 is about 15-16. When P/E rises to 25-30 (as in 2000), the market usually corrects. When it falls to 8-10 (as in 2009), it usually bounces back.

Interest rates: Extremely low rates (like 0% in 2020-2021) return to "normal" levels — which we saw in 2022-2023.

Currency exchange rates: PLN/EUR oscillates around long-term average. Extreme deviations (like PLN weakening during crises) correct over time.

Mean Reversion as an investment strategy

Contrarian investing

Contrarian investors utilize mean reversion:

• Buy when others panic — assets below historical average
• Sell when others euphorate — assets above average

Portfolio rebalancing

Rebalancing is natural utilization of mean reversion:

• Asset class rose above target weight? Sell some
• Fell below? Buy more
• Effect: systematically buy cheap and sell expensive

CAPE Ratio (Shiller P/E)

Cyclically Adjusted P/E is a popular mean reversion tool:

• CAPE > 30 → market probably overvalued
• CAPE < 15 → market probably undervalued
• Historical average: ~17

Mean reversion limitations

"Market can remain irrational longer than you can remain solvent"

Keynes's famous warning. Mean reversion works — but you don't know when:

• Dot-com bubble lasted years before bursting
• Japanese stock market (Nikkei) fell in 1989 and recovered losses only after 35 years

Structural changes

Sometimes "return to average" doesn't happen because fundamentals have changed:

• New technology (internet changed valuations permanently)
• Demographic change
• New monetary policy

Survivorship bias

We analyze companies that survived. Those that went bankrupt didn't "return to average" — their price went to zero.

How to use mean reversion in practice?

1. Don't try timing — rebalance portfolio regularly (once per quarter/year)
2. Diversify globally — different markets deviate and return at different times
3. Look at fundamentals — P/E, P/B, dividend ratios signal deviations
4. Be patient — mean reversion can take months or years
5. Combine with DCA — regular purchases naturally utilize return to average

How Freenance can help

Freenance allows tracking net worth and portfolio over the long horizon. You see how your wealth oscillates around the growth trend — and don't react panic to short-term deviations. Long-term perspective is the best friend of mean reversion.

👉 Track trends with Freenance — freenance.io