Macro Rates Monitor
When to use
Use this to maintain a disciplined read on the interest-rate macro environment: assemble the growth/inflation/labor/policy dashboard, extract the market-implied policy path from OIS/futures, compare it to your own reaction-function view, classify the yield-curve regime, and cross-check against risk assets and the dollar. The output is a coherent "where are we in the cycle and what's priced" picture.
Not for: constructing a specific curve trade (lseg-swap-curve-strategy), FX carry positioning (lseg-fx-carry-trade), or bottom-up bond selection (lseg-bond-relative-value). This is the top-down environment monitor those trades sit inside.
This is educational analysis, not investment advice.
Method
- Build the macro dashboard. For each major economy: growth (GDP nowcast, PMIs), inflation (headline + core, trend and momentum), labor (unemployment, wages), and financial conditions. Note the direction of surprise vs consensus, not just the level.
- Pin the central-bank reaction function. What is the bank targeting now (inflation down, growth, employment), and what have they signaled? State the framework (data-dependent, forward-guidance, average-inflation-targeting) explicitly.
- Extract the market-implied path. Read expected policy rates from OIS / STIR futures / dated meeting pricing. State, meeting by meeting, how many bp of hikes/cuts are priced and the terminal/trough rate.
- Form your own path and diff it. Given the dashboard and reaction function, where do you think policy goes? The gap between your path and the market's is the actionable macro view — quantify it in bp at specific dates.
- Classify the curve regime. Bull/bear × steepener/flattener. Bull-steepener (front-end rallies, cuts coming) vs bear-flattener (front-end sells off, hikes) etc. Compute 2s10s, 5s30s, and the level of real yields and breakevens (nominal = real + breakeven inflation).
- Cross-asset confirmation. Does the rates read agree with credit spreads, equities, the dollar, and gold? Divergences (e.g. rates pricing cuts while credit is tight) are either an opportunity or a warning — flag them.
- Synthesize. State the base-case macro regime, the top risk to it, and the single most mispriced part of the curve/policy path (your view vs market) — with the data that would change your mind.
Example
US dashboard: core PCE momentum cooling (3m annualized 2.4% vs 2.9% prior), payrolls softening but not breaking, PMIs mixed. Reaction function: data-dependent, easing bias. Market prices 2 cuts (50bp) over the next 4 meetings, trough ~3.75%. My path: the disinflation trend supports 3 cuts (75bp) into a softer labor print — so the market is **25bp too hawkish at the 6-month point**. Curve: 2s10s at +18bp and steepening = bull-steepener consistent with priced cuts. Cross-asset: credit spreads tight (agrees with soft-landing), but the dollar is firm (mild disagreement — flag). Most mispriced: the front-end 6m sector. Data that flips it: a re-acceleration in core services inflation or wages. Illustrative — NOT advice.
Pitfalls
- Confusing level with surprise. Markets move on data relative to expectations; a "strong" number below consensus is dovish. Track surprise, not the raw print.
- Reading forward rates as forecasts. Market-implied paths embed a term/risk premium — they are risk-neutral expectations plus premium, not a pure forecast.
- Fighting the reaction function. Your macro view is only tradable through the central bank's framework; a bank targeting inflation won't cut on weak growth alone.
- Nominal-only analysis. Decompose nominal yields into real + breakeven; a selloff driven by real yields (tightening) means something different from one driven by breakevens (inflation risk premium).
- Ignoring cross-asset divergence. Rates pricing a recession while equities make highs is information — don't dismiss it.
- Single-country tunnel vision — rate differentials and global spillovers (US → world) drive local curves.
Output format
Region(s): <..> | As of: <date>
Dashboard: | metric | level | trend | vs consensus | (growth/inflation/labor/FCI)
Central bank: framework <..>, current stance <..>, latest signal <..>
Market-implied path: <bp priced per meeting>, terminal/trough <..>
My path: <..> → GAP vs market: <..>bp at <date> (the view)
Curve regime: <bull/bear × steep/flat>, 2s10s <..>, 5s30s <..>, real <..> / BE <..>
Cross-asset check: credit <..> | equities <..> | USD <..> | (agree/diverge)
Base case + top risk + most mispriced sector: <..>
NOT investment advice — educational analysis only.
Reference
Nominal = real + breakeven
Nominal yield ≈ real yield (TIPS/linkers) + breakeven inflation. Decompose every rate move: rising real yields = tightening financial conditions / stronger growth expectations; rising breakevens = higher inflation risk premium. The Fisher decomposition is the first cut on why rates moved. Breakeven ≈ expected inflation + inflation risk premium − liquidity premium.
Extracting the market-implied policy path
- OIS (overnight-index swaps) give the cleanest expected average policy rate per horizon.
- STIR futures (SOFR, €STR, SONIA, Fed Funds) price dated periods; dated-meeting OIS gives per-meeting probabilities.
- Convert to bp of hikes/cuts by meeting; the terminal rate (peak) or trough is the path's asymptote.
- Remember: these are risk-neutral — they include a term/risk premium, so a "priced cut" is expectation + premium, not certainty.
Curve regime taxonomy
|
Steepener |
Flattener |
| Bull (yields ↓) |
front-end rallies most → cuts priced / easing |
long-end rallies most → growth/inflation fears, flight-to-quality |
| Bear (yields ↑) |
long-end sells most → term-premium/supply/reflation |
front-end sells most → hikes priced / tightening |
| Inversion (2s10s < 0) has historically preceded recessions; the dis-inversion (bull-steepening from deep inversion) often coincides with the onset of cuts. |
|
|
Reaction functions
- Inflation-targeting: responds to core inflation vs target and expectations; growth matters only via the output gap.
- Dual mandate (Fed): inflation + employment; watch which side is binding.
- Average-inflation-targeting / flexible: tolerates overshoot to make up undershoots — changes the hiking threshold.
State the framework before forecasting; the same data implies different policy under different mandates.
Cross-asset consistency checks
- Credit spreads widening while rates rally = genuine risk-off (recession pricing); tight spreads + rate cuts priced = soft-landing.
- Dollar strength usually accompanies relative US rate/growth outperformance; a falling dollar with US cuts priced is consistent.
- Gold / breakevens rising together = inflation/real-rate story.
Persistent divergences are either a mispricing (opportunity) or a regime the rates market hasn't caught up to (warning) — always name which you think it is.
1---2name: lseg-macro-rates-monitor3description: Build a structured macro-rates monitor — growth/inflation/policy dashboard, market-implied policy path vs your own, curve regime, and cross-asset confirmation — to reason about the interest-rate environment. Educational analytical workflow, not investment advice.4---56# Macro Rates Monitor78## When to use9Use this to maintain a disciplined read on the interest-rate macro environment: assemble the growth/inflation/labor/policy dashboard, extract the market-implied policy path from OIS/futures, compare it to your own reaction-function view, classify the yield-curve regime, and cross-check against risk assets and the dollar. The output is a coherent "where are we in the cycle and what's priced" picture.1011**Not for:** constructing a specific curve trade (lseg-swap-curve-strategy), FX carry positioning (lseg-fx-carry-trade), or bottom-up bond selection (lseg-bond-relative-value). This is the top-down environment monitor those trades sit inside.1213This is educational analysis, not investment advice.1415## Method161. **Build the macro dashboard.** For each major economy: growth (GDP nowcast, PMIs), inflation (headline + core, trend and momentum), labor (unemployment, wages), and financial conditions. Note the direction of surprise vs consensus, not just the level.172. **Pin the central-bank reaction function.** What is the bank targeting now (inflation down, growth, employment), and what have they signaled? State the framework (data-dependent, forward-guidance, average-inflation-targeting) explicitly.183. **Extract the market-implied path.** Read expected policy rates from OIS / STIR futures / dated meeting pricing. State, meeting by meeting, how many bp of hikes/cuts are priced and the terminal/trough rate.194. **Form your own path and diff it.** Given the dashboard and reaction function, where do you think policy goes? The **gap between your path and the market's** is the actionable macro view — quantify it in bp at specific dates.205. **Classify the curve regime.** Bull/bear × steepener/flattener. Bull-steepener (front-end rallies, cuts coming) vs bear-flattener (front-end sells off, hikes) etc. Compute 2s10s, 5s30s, and the level of real yields and breakevens (nominal = real + breakeven inflation).216. **Cross-asset confirmation.** Does the rates read agree with credit spreads, equities, the dollar, and gold? Divergences (e.g. rates pricing cuts while credit is tight) are either an opportunity or a warning — flag them.227. **Synthesize.** State the base-case macro regime, the top risk to it, and the single most mispriced part of the curve/policy path (your view vs market) — with the data that would change your mind.2324## Example25US dashboard: core PCE momentum cooling (3m annualized 2.4% vs 2.9% prior), payrolls softening but not breaking, PMIs mixed. Reaction function: data-dependent, easing bias. Market prices ~2 cuts (50bp) over the next 4 meetings, trough ~3.75%. My path: the disinflation trend supports 3 cuts (75bp) into a softer labor print — so the market is **~25bp too hawkish at the 6-month point**. Curve: 2s10s at +18bp and steepening = bull-steepener consistent with priced cuts. Cross-asset: credit spreads tight (agrees with soft-landing), but the dollar is firm (mild disagreement — flag). Most mispriced: the front-end 6m sector. Data that flips it: a re-acceleration in core services inflation or wages. Illustrative — NOT advice.2627## Pitfalls28- **Confusing level with surprise.** Markets move on data *relative to expectations*; a "strong" number below consensus is dovish. Track surprise, not the raw print.29- **Reading forward rates as forecasts.** Market-implied paths embed a term/risk premium — they are risk-neutral expectations plus premium, not a pure forecast.30- **Fighting the reaction function.** Your macro view is only tradable through the central bank's framework; a bank targeting inflation won't cut on weak growth alone.31- **Nominal-only analysis.** Decompose nominal yields into real + breakeven; a selloff driven by real yields (tightening) means something different from one driven by breakevens (inflation risk premium).32- **Ignoring cross-asset divergence.** Rates pricing a recession while equities make highs is information — don't dismiss it.33- **Single-country tunnel vision** — rate differentials and global spillovers (US → world) drive local curves.3435## Output format36```37Region(s): <..> | As of: <date>38Dashboard: | metric | level | trend | vs consensus | (growth/inflation/labor/FCI)39Central bank: framework <..>, current stance <..>, latest signal <..>40Market-implied path: <bp priced per meeting>, terminal/trough <..>41My path: <..> → GAP vs market: <..>bp at <date> (the view)42Curve regime: <bull/bear × steep/flat>, 2s10s <..>, 5s30s <..>, real <..> / BE <..>43Cross-asset check: credit <..> | equities <..> | USD <..> | (agree/diverge)44Base case + top risk + most mispriced sector: <..>45NOT investment advice — educational analysis only.46```4748## Reference4950### Nominal = real + breakeven51`Nominal yield ≈ real yield (TIPS/linkers) + breakeven inflation`. Decompose every rate move: rising real yields = tightening financial conditions / stronger growth expectations; rising breakevens = higher inflation risk premium. The Fisher decomposition is the first cut on *why* rates moved. Breakeven ≈ expected inflation + inflation risk premium − liquidity premium.5253### Extracting the market-implied policy path54- **OIS** (overnight-index swaps) give the cleanest expected average policy rate per horizon.55- **STIR futures** (SOFR, €STR, SONIA, Fed Funds) price dated periods; dated-meeting OIS gives per-meeting probabilities.56- Convert to bp of hikes/cuts by meeting; the **terminal rate** (peak) or **trough** is the path's asymptote.57- Remember: these are **risk-neutral** — they include a term/risk premium, so a "priced cut" is expectation + premium, not certainty.5859### Curve regime taxonomy60| | Steepener | Flattener |61|---|---|---|62| **Bull (yields ↓)** | front-end rallies most → cuts priced / easing | long-end rallies most → growth/inflation fears, flight-to-quality |63| **Bear (yields ↑)** | long-end sells most → term-premium/supply/reflation | front-end sells most → hikes priced / tightening |64Inversion (2s10s < 0) has historically preceded recessions; the **dis-inversion** (bull-steepening from deep inversion) often coincides with the onset of cuts.6566### Reaction functions67- **Inflation-targeting:** responds to core inflation vs target and expectations; growth matters only via the output gap.68- **Dual mandate (Fed):** inflation + employment; watch which side is binding.69- **Average-inflation-targeting / flexible:** tolerates overshoot to make up undershoots — changes the hiking threshold.70State the framework before forecasting; the same data implies different policy under different mandates.7172### Cross-asset consistency checks73- **Credit spreads** widening while rates rally = genuine risk-off (recession pricing); tight spreads + rate cuts priced = soft-landing.74- **Dollar** strength usually accompanies relative US rate/growth outperformance; a falling dollar with US cuts priced is consistent.75- **Gold / breakevens** rising together = inflation/real-rate story.76Persistent divergences are either a mispricing (opportunity) or a regime the rates market hasn't caught up to (warning) — always name which you think it is.