Macro analysis (lens)

Definition

The macro lens evaluates the economy-wide forces that move whole asset classes: growth, interest rates, inflation, currencies, and commodities, and the policy actions (monetary and fiscal) that steer them. Where the fundamental lens asks “what is this company worth?”, the macro lens asks “what environment is every company priced in?”.

How it works / structure

• Inputs: policy communications (FOMC statements, minutes, dot projections), official statistics (CPI, employment, GDP), market- implied expectations (fed funds futures, yield curve, breakevens), and cross-asset prices (dollar, crude, gold).
• Core operations: track the gap between released data and consensus expectations (surprises move prices; levels mostly do not), map rate and inflation paths onto discount rates and sector earnings, and trace cross-asset linkages (pillar 8 entries).
• Output shape: environment classifications (rising-rate, disinflation, dollar-strength) and event-conditioned expectations that feed regime entries and event playbooks.

When it applies

Always present as context; decisive when policy or inflation is the market’s active question, for rate-sensitive sectors (banks, REITs, long-duration growth), for FX/commodity-linked instruments, and around scheduled releases (event-fomc, event-cpi, event-jobs-report). Horizons run from event-day moves to multi-year regimes.

Risk profile & failure modes

• Two-step forecasting problem: being right about the data but wrong about the market’s reaction is common; the priced-in expectation, not the level, is the benchmark.
• Regime instability: correlations that define a macro playbook (stocks vs bonds, dollar vs commodities) change sign across inflation regimes.
• Small samples: there are few complete rate cycles in modern data; macro backtests overfit easily.
• Narrative excess: macro lends itself to storytelling that resists falsification — this platform requires macro theses to be stated as checkable conditions.

Evidence & limits

Bernanke and Kuttner (2005) measured that an unanticipated 25bp cut was associated with roughly a 1% rise in broad equity indexes — establishing that the surprise component of policy moves prices. Lucca and Moench (2015) documented an anomalous positive equity drift in the 24 hours before scheduled FOMC announcements (1994-2011), a well-known but debated regularity. Sign and size of macro linkages are regime-dependent (pillar 8 entries carry the specifics with citations). Long-horizon macro forecasting accuracy is generally poor; claims of reliable macro timing are unproven.

Falsifiable-thesis examples

Illustrations only, not signals:

• “Year-over-year CPI will print at or below 3.0% for two consecutive releases within the next four” — falsified if no such pair occurs.
• “The 2s10s Treasury spread, negative today, will turn positive within 6 months” — falsified if the spread stays non-positive through the window.

Cross-references

• Pillar 8: regime-rate-environments, macro-inflation-linkages, macro-currency-linkages, macro-commodity-linkages, regime-volatility, regime-seasonality
• Pillar 9 events: event-fomc, event-cpi, event-jobs-report
• Extended instruments: ext-bonds-rates, ext-fx, ext-commodities
• Adjacent lenses: lens-market (sector/regime expression), lens-event-catalyst (release-day mechanics)