Does the full moon affect the stock market? We tested 14 indices since 2004
A 2006 study of 48 countries found that stock markets earned less in the half of the lunar month around the full moon. We checked 14 indices from 2004 to 2026, all of it after the study's data. The gap shrank to a quarter of its size, flipped after 2014, and luck explains what is left.
The belief
“Investors feel gloomier around the full moon, so stocks earn less in the 15 days around it than in the 15 days around the new moon.”
From 2004 to 2026 the new-moon half beat the full-moon half by 0.82 basis points a day, against 3.53 in the study. Random calendars produced a gap at least that large 40% of the time, and since 2015 the full-moon half has been the better one.
What the study found
In 2006 the economists Kathy Yuan, Lu Zheng and Qiaoqiao Zhu published “Are investors moonstruck?” in the Journal of Empirical Finance. Across 48 countries from 1973 to 2001, stock returns were lower in the 15 days around each full moon than in the 15 days around each new moon. For an equal-weighted world portfolio the gap was 3.53 basis points a day (a basis point is 0.01%), and switching between the two halves earned 3 to 5% a year before costs. Their explanation was mood: people feel worse around the full moon and pay less for shares.
It is a famous result, and it has a weakness every old finding shares: the market has had decades to learn about it.
How we tested it
We took every trading day of 14 stock indices from 2004 to September 2026: the S&P 500, the Dow, the Nasdaq 100, the Russell 2000, the FTSE 100, the DAX, the CAC 40, the Euro Stoxx 50 (from 2007), the AEX, the IBEX 35, the SMI, the Nikkei 225, the Hang Seng and the ASX 200. None of these days was in the study's data, so this is a clean second look.
Each day went into the full-moon half if it fell within 7 days of a full moon, and into the new-moon half otherwise, exactly as the study did it. The moon's dates come from standard astronomical formulas, which we checked first against six known eclipses: each was right to within two minutes. To measure luck, we shifted the whole lunar calendar by 2,000 random amounts and counted how often a fake calendar showed a gap as large as the real one. The rules for a pass were written down before any return was looked at.
What we found
The new-moon half did a little better than the full-moon half: +3.17 basis points a day against +2.35, a gap of +0.82. That is about a quarter of the study's gap. And 40% of the random calendars produced a gap at least that large, so the real moon does not stand out from made-up dates. A calendar would have needed a gap of +5.20 to beat 1 in 20 of the fakes.
New-moon half minus full-moon half, basis points a day
The effect looked alive in the first half of our period, from 2004 to 2014 (+3.81). Then it reversed: from 2015 to 2026 the full-moon half was the better one (−1.99). Nine of the 14 indices leaned the study's way, short of the 10 we had set in advance as the bar.
New-moon half minus full-moon half by index, basis points a day, 2004–2026
Could you trade it?
A trader who owned the 14 indices in the new-moon half and sold them short in the full-moon half would have made +0.77% a year before costs from 2004 to 2026. After a broker's spread and the cost of holding positions overnight, the same switch lost 2.20% a year: it made +1.62% a year until 2014 and lost 5.78% a year after.
| 2004–2026 | 2004–2014 | 2015–2026 | |
|---|---|---|---|
| Long new moon, short full moon, before costs | +0.77% | +4.58% | −2.80% |
| The same, after costs | −2.20% | +1.62% | −5.78% |
| Owning stocks in the new-moon half only, after costs | +3.90% | +5.40% | +2.49% |
| Owning stocks all the time, after costs | +7.36% | +6.54% | +8.13% |
The gentler version, owning stocks only in the new-moon half and holding cash in the other, earned +3.90% a year after costs: about half of the +7.36% from simply staying invested.
The bottom line
The lunar effect was a fair finding for 1973 to 2001, and it may have lingered into the decade after. In the data since the study it is small, it reversed after 2014, and random calendars produce gaps as large. Staying invested beat every moon rule we tried. MYTH.
How we tested
- Belief
- Returns are lower in the 15 days around the full moon (Yuan, Zheng and Zhu, Journal of Empirical Finance, 2006).
- Markets
- 14 stock indices in their own currencies; the Euro Stoxx 50 from 2007.
- Period
- January 2004 to September 2026. The study used January 1973 to July 2001.
- Rule
- A day belongs to the full-moon half if it is within 7 days of a full moon, otherwise to the new-moon half. Close-to-close daily returns.
- Luck test
- The lunar calendar shifted by 2,000 random amounts between 0 and 29.53 days.
- The trade
- Long in the new-moon half, short in the full-moon half, equal weight; a CFD broker's spread and overnight financing.
- Pass rules
- Four conditions fixed before the run, all of which had to hold. None did.
Moon phases computed with the formulas of Jean Meeus, Astronomical Algorithms. Figures are our own statistics from daily index closes.
This is research on past prices. It is not advice to buy or sell anything, and past results do not promise future ones.