Global macro is the discipline of positioning across asset classes — currencies, sovereign bonds, commodities, equity indices, and rates — based on forecasts of macroeconomic trends and geopolitical developments rather than on the merits of individual securities. Its core question is what is the world doing to risk premia right now: how growth, inflation, monetary policy divergence, capital flows, and political shocks reprice entire markets at once. The central tension is that macro/geopolitical drivers are unambiguously powerful (they move every asset simultaneously) yet notoriously hard to trade — the events are hard to forecast, the market's reaction is often the opposite of intuition, and the empirical record shows most geopolitical shocks to equities are sharp but short-lived.

What it covers (and what it defers)

This node is the top-level macro lens: the geopolitical/policy-shock layer and the global-macro strategy that consumes it. The plumbing of how asset classes transmit to each other — bonds↔stocks, dollar↔commodities, yield-curve signals — lives in the sibling Intermarket Analysis nodes and should not be duplicated here. This doc is the "exogenous driver and its measured market impact" layer.

How it's framed

Practitioners decompose the macro picture into a few recurring axes:

• The growth/inflation regime — the four-quadrant view (growth up/down × inflation up/down) that drives whether equities, bonds, gold, or cash lead. This is the bedrock of regime-based allocation.
• Monetary-policy divergence — relative central-bank stance drives currency and rate trades (e.g. long USD / short JPY on Fed–BOJ divergence, a defining 2022 theme as the Fed hiked aggressively while the BOJ held rates near zero).
• Capital flows & the dollar — the USD as the global funding currency; a strong dollar tightens global financial conditions and pressures emerging markets and commodities.
• Geopolitical risk — wars, sanctions, trade conflict, elections, terrorism. Quantified academically by the Geopolitical Risk Index (GPR) of Caldara & Iacoviello (Federal Reserve), built by counting the share of newspaper articles referencing adverse geopolitical events across 10 papers back to 1900, split into threats (GPRT) and acts (GPRA).

How it's used in practice

Global macro is overwhelmingly an institutional / hedge-fund discipline, run in two distinct styles:

• Discretionary macro — a portfolio manager forms a thesis (e.g. "the Fed will out-hike the ECB") and expresses it through the cleanest instrument, often FX or rates rather than equities, because those markets are deepest and most directly tied to the macro variable. This is the Soros/Druckenmiller lineage.
• Systematic macro / managed futures (CTAs) — rules-based, predominantly trend-following across dozens of global futures markets. CTAs do not forecast geopolitics; they react to the price trends those events produce, which is why they tend to perform well in sustained-dislocation years.

For an equity investor specifically, the macro/geopolitical layer is used three ways: (1) as a regime filter that conditions how much risk to carry and which sectors to favor; (2) as a tail-hedge trigger (raising cash, buying volatility, or rotating to defensives ahead of/into a shock); and (3) as a sector-rotation map — research finds energy, materials, and consumer-services sectors react most to geopolitical-risk regime changes, while health care and utilities are comparatively insulated (MSCI).

Standing & evidence

This is where folklore and data diverge sharply, and the evidence is the most valuable part of the topic:

• Geopolitical risk is a real, additive risk factor. Caldara & Iacoviello find rising GPR is associated with lower equity returns and higher volatility, and depresses investment and employment in the macro data. MSCI reports the GPR/uncertainty signal is largely uncorrelated with the VIX (≈0.03 in levels), so it captures a distinct dimension. MSCI's analysis (over ~30 years; 40 high-risk months, 41 low-risk, the rest medium) shows the MSCI ACWI delivered materially lower returns and higher forecast volatility in high-geopolitical-risk regimes than in low-risk ones — its charts indicate roughly low-single-digit vs low-double-digit annualized returns and forecast volatility of order ~16% vs ~9% (figures read from MSCI's exhibits, approximate, period-dependent) — note these are conditional averages, not a tradable timing rule.
• But the equity impact of discrete shocks is usually transient. LPL Research, examining geopolitical shocks since WWII, finds an average S&P 500 drawdown of roughly 5%, typically bottoming in about three weeks and recovering within one to two months; the average one-day reaction across two-dozen-plus events was about −1%. Hartford Funds (citing Ned Davis/Morningstar data) finds the S&P 500 was positive one year after an act of aggression in the large majority of post-WWII conflicts, with a median 1-year return near 9%. J.P. Morgan, citing Ned Davis, notes markets underperform on average in the three months after an event but that 6- and 12-month returns are essentially unaffected.
• Look-alike caution: "Geopolitics matters for risk" (true, and measurable in the GPR research) is not the same as "you can profitably trade geopolitical headlines" (largely unproven, and the historical mean-reversion above is the reason the "buy the invasion" reflex sometimes works). The robust finding is that shocks are sharp and short; the forecasting of which shock matters is not a documented edge.

Strengths & limitations

Macro works best when a single dominant theme drives correlations toward 1 — a rate-hiking cycle, a currency crisis, a war that spikes a key commodity — so cross-asset positioning pays. 2022 is the textbook case: synchronized rate hikes plus FX and commodity divergence produced a banner year for systematic macro / trend-following — the SG Trend Index returned a record +27.3% and the SG CTA Index +20.1% (its best year since the index began in 2000, per Société Générale / Hedgeweek) — while equities and bonds both fell sharply.

It fails in three characteristic ways. (1) Forecasting failure — macro events are genuinely low-predictability; even correct theses misfire on timing. (2) Reaction-direction failure — markets frequently rally into feared events (the news is "priced in") and sell off on the resolution, so trading the obvious narrative loses. (3) Over-reaction to noise — the single most common misuse is letting a geopolitical headline drive a long-horizon allocation change; the base rates above show most such shocks are reversed within weeks, so de-risking into a panic often locks in the bottom. Macro is also regime-dependent in a deeper sense: in low-volatility, QE-suppressed regimes (2012–2019) macro and trend strategies broadly struggled for want of trends.

System relevance

This node feeds Delvantic's Market Regime Engine (the macro/regime overlay layer) as exogenous context, not as a standalone signal. For the Augustus trade-setup agent the operative caveat is the evidence above: geopolitical shocks are mostly short-lived for equities, so a live GPR/headline spike should function as a volatility-and-sizing input (widen stops, cut size, expect mean-reversion) rather than a directional thesis — Augustus should not infer durable trend from a geopolitical event absent corroborating regime/intermarket signals. Cross-link the Intermarket Analysis siblings for the transmission mechanics this node deliberately omits.

Sources

• Caldara, D. & Iacoviello, M., "Measuring Geopolitical Risk," Federal Reserve IFDP / American Economic Review; GPR index at policyuncertainty.com/gpr.html
• MSCI, "Understanding Geopolitical Risk in Investments" (ACWI conditional returns/volatility; sector exposure; GPR–VIX correlation ≈0.03)
• LPL Research, "How Do Geopolitical Shocks Affect Stock Markets?" / "Lessons from Past Conflicts" (avg drawdown ≈−4.7% to −7%, ~19 days/3 weeks to bottom, ~42–55 days to recover; avg one-day reaction ≈−1% across 2-dozen-plus post-WWII events)
• Hartford Funds (Ned Davis Research / Morningstar data), "Military Conflicts May Rattle Markets, But Not for Long" (median ~9% 1-yr return post-conflict)
• J.P. Morgan, "How Do Geopolitical Shocks Impact Markets?" (Ned Davis, 36 events since 1940: 3-month return 0.3% vs 1.3% all-time average; 6/12-month returns essentially unaffected)
• Société Générale Prime Services / Hedgeweek, "Trend followers turn leaders as CTAs deliver record returns in 2022" (SG Trend Index +27.3%; SG CTA Index +20.1%, best since 2000)
• Wikipedia, "Global macro"; AQR Funds, "Global Macro Strategies" (strategy definition/landscape)

> Confidence note: the GPR methodology, the GPR–VIX low correlation (0.03), MSCI's sector-exposure findings, the Hartford/Ned Davis 1-year median (9.1%, 73% positive), the J.P. Morgan/Ned Davis 3-/6-/12-month figures, the LPL recovery base rates, and the 2022 SG Trend/CTA Index returns were each cross-checked against the primary source. The MSCI conditional return/volatility magnitudes are single-provider point estimates read from MSCI's charts and are period-dependent; treat as illustrative, not invariant.