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Global Country Equity Rotation

Country equity indices move together less than most investors assume, and a rotation strategy tries to systematically overweight the countries with the best combination of momentum, valuation, and macro backdrop while underweighting the worst.

Prerequisites: Trend Following

An investor with global equity exposure has to decide not just how much to hold in stocks overall, but which countries. A US index fund, a Japanese index fund, and a Brazilian index fund can go through entirely different years even in a single global "risk-on" environment, because each is exposed to a different currency, a different central bank, a different mix of sectors, and different local politics. Global country equity rotation applies the same tools used to rank individual stocks — momentum, valuation, quality — to whole country indices instead, systematically tilting exposure toward the countries that rank best.

Country equity indices behave enough like individual securities — some cheap, some expensive, some trending, some not — that momentum and valuation signals built for stock-picking work reasonably well applied to countries. A rotation strategy overweights countries ranking well on these signals and underweights or shorts those ranking poorly, futures on country indices making the trade cheap to implement.

Building the ranking

A typical country rotation model scores each investable country index (via its futures contract or ETF) on a handful of signals: 12-month price momentum, a valuation measure like cyclically-adjusted price-to-earnings relative to the country's own history, and sometimes a macro overlay like currency strength or improving PMI surveys. Countries are ranked, the top group is overweighted, the bottom group is underweighted or held at zero, and the whole ranking is recalculated on a regular schedule — monthly or quarterly is typical, since country-level rotation is a slower-moving signal than single-stock momentum.

countries, ranked by score → overweight underweight
Country indices ranked by combined score; the top tier gets extra weight, the bottom tier gets reduced or zero weight.

Worked example

At quarterly rebalance, a model ranks South Korea and India in the top tier — both showing strong 12-month price momentum and PMI surveys improving — and ranks Italy and Brazil in the bottom tier on weak momentum and deteriorating current-account signals. A base-case allocation of 5% per country in a 20-country universe is adjusted to 8% each for South Korea and India, funded by cutting Italy and Brazil to 2% each. Over the following quarter, South Korea returns +11% and India +9%, while Italy returns -3% and Brazil -5%; against the base-case equal-weight portfolio, the tilted portfolio outperforms by roughly 1.3 percentage points from these four positions alone.

What this means in practice

Country rotation is typically implemented with equity index futures rather than physical stock baskets, since futures avoid the cost and complexity of trading dozens of local markets with different settlement rules, withholding taxes, and trading hours, and let a manager adjust country weights quickly as rankings change.

Country returns in a single global currency are partly currency returns — a country whose local index is flat but whose currency rallies 8% against the dollar delivers an 8% dollar return, and vice versa. A rotation signal built on local-currency price momentum can be systematically distorted by currency moves unless the currency exposure is deliberately hedged or accounted for.

Related concepts

Practice in interviews

Further reading

  • Asness, Moskowitz, Pedersen, 'Value and Momentum Everywhere', Journal of Finance
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