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World stock markets

72warm

Positions of 20 national stock markets, weighted by market value | Data for Sep 2026

Hot and cold describe position, not good or bad: warm does not mean a fall is coming, and an extreme reading does not mean a quick reversal. We describe history only, with no buy or sell advice.

050100World stocks

What it is

World stocks: what is measured, and why it matters

What it measures

The positions of major national stock markets, averaged with weights by total market value (our calculation).

Why it matters

It shows whether world stock markets as a whole are running warm or cool. The US accounts for about half the weight.

Public substituteWe use this in place of “MSCI World and Emerging Markets indices”. MSCI indices are share price indices compiled by an index provider and weighted by market value; this site’s world stock reading combines each national market’s own position from cold to hot, weighted by market value, and is not a share price. They tend to point the same way, but their numbers and meaning differ. They measure similar things, but they are not the same number.

Where it stands now

Position over time

Data: Positions of OECD national share price indices, weighted by World Bank market capitalization (calculated by this site). Positions: our calculation.

coldcoolneutralwarmhotHatched = earlier periods that were also warm

Where 20 national stock markets stand (weighted by market value)

EconomiesMarket-cap sharePercentileLevelData month
South Korea2.2%99hotSep 2026
Canada3.6%96hotSep 2026
Poland0.2%93hotSep 2026
Chile0.4%91hotAug 2026
Japan6.0%89hotSep 2026
Spain1.0%89hotSep 2026
Israel0.3%87hotSep 2026
Italy0.5%81hotSep 2026
US54.0%78warmSep 2026
Germany2.3%72warmSep 2026
China12.1%68warmSep 2026
Türkiye0.3%68warmSep 2026
South Africa1.1%58neutralSep 2026
UK2.4%58neutralSep 2026
Switzerland2.0%56neutralSep 2026
Australia1.6%44neutralSep 2026
Brazil0.7%44neutralSep 2026
India8.3%34coolSep 2026
Mexico0.4%20coldSep 2026
Indonesia0.7%3coldSep 2026

Each country’s stock prices use the OECD share price index, compared with its own 10-year average. The US here uses the OECD’s US share price index (from 1957), which differs from Professor Shiller’s S&P 500 series (from 1871) used for the “US stocks” global anchor, so the positions differ too. Market-cap shares are based on the World Bank’s latest annual figures for total stock market capitalization.

When it was here before

Earlier warm periods (8), plus the current one

US stocks after it began, cumulative1 yr2 yr3 yr

  1. Sep 1979⁠–Oct 198238-month period, warm in 14 of those months · 1980 Oil crisis1 yr+16.5%2 yr+8.9%3 yr+12.7%
  2. Nov 1987⁠–Nov 198813-month period, warm in 4 of those months · 1987 Black Monday1 yr+10.6%2 yr+38.9%3 yr+28.7%
  3. Feb 1990⁠–Mar 199450-month period, warm in 43 of those months1 yr+9.6%2 yr+24.8%3 yr+33.7%
  4. Jul 1995⁠–Apr 199722-month period, warm in 19 of those months1 yr+15.6%2 yr+66.0%3 yr+107.5%
  5. Aug 1998⁠–May 200134-month period, warm in 24 of those months · 2000 Dot-com bubble1 yr+23.5%2 yr+38.2%3 yr+9.7%
  6. Dec 2006⁠–Dec 200713-month period, warm in 11 of those months1 yr+4.4%2 yr−38.0%3 yr−21.6%
  7. Jan 20181-month period, warm throughout · 2018 February stock sell-off1 yr−6.5%2 yr+17.5%3 yr+36.0%
  8. Feb 2021⁠–Feb 202213-month period, warm throughout1 yr+14.2%2 yr+5.1%3 yr+29.1%
  9. Oct 2024⁠–⁠now24-month period, warm in 20 of those monthsStill under way

For each period, the changes 1, 2 and 3 years after it began are cumulative and measured from its first month; “What happened next” is measured from every warm month, so the two give different numbers. The events named beside each period are major events of that time, not necessarily related to the readings here.

What happened next

How US stocks moved after earlier months with World stocks warm

Bars: median cumulative changeEarlier months with World stocks warm, excluding the current period (129)All months (599)

1 yr later
+7.8%down in 32% of cases
+11.8%down in 21% of cases
3 yr later
+29.9%down in 25% of cases
+34.2%down in 13% of cases
5 yr later
+73.8%down in 27% of cases
+63.8%down in 16% of cases

Median of the deepest drop below the starting month within the next 5 years: −3.8% for months with World stocks warm; −4.0% for all months.

The warm months come from a small number of market episodes (8), and neighboring months are not independent events; rises and falls are all listed. This is the historical record, not a forecast. “US stocks” means the S&P 500 price index compiled by Professor Shiller (monthly average, excluding dividends).

Where World stocks went next

Later positions of World stocks, after past months that were warm, like now
Median positionBack to neutral (40⁠–⁠60)Still warm or more extreme
1 yr later65warm22%63%
3 yr later61warm22%52%
5 yr later72warm16%61%

Has hot or cold lined up with later returns?

No clear link in the past

1976⁠–⁠2021: average yearly change in US stocks over the next 5 years

Hottest 20%
+8.5%a year
All months
+9.2%a year
Coldest 20%
+9.9%a year

There is no clear relationship between hot or cold and what came next. The gaps between the bars are not consistent across months (rank correlation below 0.25); this is a record of the past, not a forecast.

What it is linked to

Links involving World stocks

US stockstoWorld stocksCommon explanation: Ripple · same direction

The US is the world’s largest stock market, and US corrections often spill over to other markets; in a crisis, markets everywhere fall together

This issue: US stocks at 94 (hot), World stocks at 72 (warm) — both above normal, in line with the common explanation.

Supported by the dataAgreement +0.77 · in step in 45 of 45 5-year periods

Financial stresstoWorld stocksCommon explanation: Ripple · opposite direction

In a panic, the prices of risky assets of all kinds tend to fall together

This issue: Financial stress at 12 (cold), World stocks at 72 (warm) — Financial stress below normal, World stocks above normal, in line with the common explanation (this is an inverse link).

Supported by the dataAgreement +0.48 · in step in 28 of 32 5-year periods

OFR stresstoWorld stocksCommon explanation: Ripple · opposite direction

When financial stress and volatility jump, funds that control risk by volatility lower their stock holdings at the same time, putting pressure on stock markets

This issue: OFR stress at 36 (cool), World stocks at 72 (warm) — OFR stress below normal, World stocks above normal, in line with the common explanation (this is an inverse link).

Supported by the dataAgreement +0.50 · in step in 12 of 12 5-year periods

USD/JPYtoWorld stocksCommon explanation: Ripple · a sharp rise in the yen weighs on world stocks

Positions funded in yen are forced to unwind together, and stock markets around the world come under pressure at the same time

This issue: USD/JPY at 94 (hot), World stocks at 72 (warm) — both above normal, in line with the common explanation.

Weak or inconsistentAgreement +0.13 · in step in 18 of 31 5-year periods

Leading indextoWorld stocksCommon explanation: Knock-on · same direction

Strong global economy → company profits everywhere → world share prices

This issue: Leading index at 42 (neutral), World stocks at 72 (warm) — at least one is in the neutral range (40⁠–⁠60), so we make no call this issue.

Not visible in our dataAgreement +0.08 · in step in 33 of 45 5-year periods

In most periods the two moved the way the common explanation says, but their highs and lows do not line up over the whole history, so overall no relationship is visible.

Bond volatilitytoWorld stocksCommon explanation: Ripple · opposite direction

When rates swing widely, discount rates for all assets become unstable, and risky assets come under pressure together

This issue: Bond volatility at 38 (cool), World stocks at 72 (warm) — Bond volatility below normal, World stocks above normal, in line with the common explanation (this is an inverse link).

Not visible in our dataAgreement −0.15 · in step in 35 of 45 5-year periods

In most periods the two moved the way the common explanation says, but their highs and lows do not line up over the whole history, so overall no relationship is visible.

Data and sources

Where the data come from and how they are calculated

Source
Positions of OECD national share price indices, weighted by World Bank market capitalization (calculated by this site)
Frequency
Monthly
Positions start
Nov 1976
Method
Position = the percentile of the value itself within its own history
Unit
position
License
Calculated by us from public data

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