Macroeconomic Context

Can CBRE Sustain Growth Amid Rising Rates and Slower GDP?

Higher inflation and tighter credit could reshape commercial real‑estate demand across regions.

CBRE • 2026-04-02

Overview: Economic & Company Trends

Short‑term rates are climbing while longer‑term yields stay flat, and inflation is easing—a mixed backdrop that keeps the economy in a transitional phase.

The 2‑year Treasury is on an upward path, signaling tighter monetary conditions ahead, whereas the 10‑year Treasury remains stable, keeping long‑term financing costs unchanged. Consumer price inflation is slipping, but core CPI is holding steady, suggesting price pressures are moderating without a broad deflationary trend. Real GDP growth is trending lower, yet the unemployment rate is flat and consumer sentiment is rising, hinting at a resilience in demand despite slower output.

Key Economic Indicators:
  • 2‑Year Treasury rising – indicates short‑term borrowing costs are increasing, which can raise financing expenses for corporate borrowers.
  • 30‑Year Mortgage Rate climbing – pushes up the cost of home financing, potentially dampening property‑related activity that underpins CBRE's client base.
  • CPI (All Items) falling – reflects easing inflation, which may improve discretionary spending and support the commercial real‑estate market.
What This Means for These Companies:

CBRE posted robust revenue growth of 30.5% but operates on thin margins (3.6%) and modest ROE (4.7%). The rise in short‑term rates and mortgage costs could constrain transaction volumes, yet stable employment and improving consumer sentiment provide a countervailing tailwind for its leasing and advisory services.

Overall Trajectory: Overall, the environment is in flux: tightening financing meets easing inflation and steady labor markets.

The charts below trace the evolution of these macro trends alongside CBRE's financial performance.

Economic Environment

Interest Rates
Inflation (Year-over-Year Change)
Real GDP Growth (Annualized Quarterly Rate)
Unemployment Rate
Economic Indicators Summary
Indicator Current Historical Avg Percentile Trend
Effective Fed Funds Rate 3.64% 2.04% 70th → Stable
10-Year Treasury 4.30% 2.67% 92th → Stable
2-Year Treasury 3.79% 2.19% 76th ↑ Rising
30-Year Mortgage Rate 6.38% 4.73% 76th ↑ Rising
CPI (All Items) YoY 2.6% 3.1% 53th ↓ Falling
Core CPI YoY 2.7% 3.1% 52th → Stable
Real GDP Growth 0.70% 2.66% 14th ↓ Falling
Unemployment Rate 4.40% 4.64% 59th → Stable
Consumer Sentiment 56.6 80.5 7th ↑ Rising

Company Fundamentals

Revenue & FCF Growth (YoY)
Operating & Net Margin
ROE & ROA
EPS Trend

Stock Performance

Rolling 12-Month Returns

Data period: 2015-01 to 2026-03

Macro Sensitivity & Exposure Analysis

Understanding how CBRE's revenue growth reacts to macroeconomic shifts is crucial for investors who allocate to commercial real‑estate services. This section reveals the firm’s sensitivities to inflation, interest rates, mortgage rates, consumer sentiment and labor market conditions over the 2016‑2025 period.

We regressed quarterly revenue growth against six macro indicators using ridge regression with a 16‑quarter rolling window, tracking sign stability to gauge confidence.

CBRE

CBRE is a moderately cyclical, inflation‑sensitive real‑estate services firm with pronounced rate and CPI exposure.

The regression shows a high‑negative sensitivity to CPI levels (β=-0.3603, 57% stable) and to Fed‑funds rates (β=-0.3118, 71% stable), indicating revenue growth erodes in high‑inflation or high‑rate environments. Mortgage‑rate levels also depress growth (β=-0.2407, 57% stable) but the change coefficient is small (β=-0.0122, 86% stable). Consumer sentiment drives growth positively at the level (β=+0.3175, 57% stable) yet deteriorates when sentiment improves (β=-0.1079, 86% stable), reflecting a lagged response to sentiment swings. Unemployment levels modestly hurt (β=-0.2630, 57% stable) and rising unemployment further pressures growth (β=-0.1256, 100% stable). GDP growth has negligible impact (β=-0.0123, 57% stable).

Key Macro Exposures:
  • Inflation (CPI) level: β=-0.3603 (high negative), 57% sign stability – revenue falls as inflation rises.
  • Rate (Fed Funds) level: β=-0.3118 (high negative), 71% sign stability – higher policy rates compress earnings.
  • Mortgage rate level: β=-0.2407 (moderate negative), 57% sign stability – higher mortgage costs dampen client activity.
  • Consumer sentiment level: β=+0.3175 (high positive), 57% sign stability – strong sentiment lifts demand for space.
  • Unemployment level: β=-0.2630 (moderate negative), 57% sign stability – weaker labor markets reduce leasing activity.
Scenario Analysis:

If inflation and rates continue to rise, CBRE is likely to see margin compression and slower revenue growth; conversely, a decline in CPI and a easing of rates should provide a clear tailwind, improving top‑line momentum. A surge in consumer confidence would boost demand for office and retail space, while a deteriorating labor market would weigh on leasing activity.

⚠️ Macro Risks:
  • CPI rising (β=-0.3603, 57% stable) – high inflation erodes client spending and limits pass‑through pricing given modest gross margin (24.9%).
  • Fed‑funds rates rising (β=-0.3118, 71% stable) – higher borrowing costs increase CBRE's own financing expense (D/E=0.37) and suppress client investment.
  • Mortgage rates rising (β=-0.2407, 57% stable) – elevated borrowing costs for tenants reduce occupancy demand.
  • Consumer sentiment falling (β=-0.1079 change, 86% stable) – weaker confidence curtails demand for new space.
✓ Macro Tailwinds:
  • CPI falling (β=+0.0397 change, 86% stable) – lower inflation improves client cash flow and may allow CBRE to win discretionary projects.
  • Rates falling (implied positive shift from level) – reduced financing costs for both CBRE and its tenants can stimulate leasing activity.
  • Mortgage rates falling (no significant change coefficient) – lower tenant financing costs could revive demand for commercial space.
  • Consumer sentiment rising (β=+0.3175 level, 57% stable) – stronger confidence drives higher demand for office, retail and industrial footprints.
Comparative Analysis:

CBRE exhibits a clear macro‑sensitive profile, with high‑negative exposure to inflation and policy rates and a strong positive link to consumer sentiment, distinguishing it from more defensive sectors that show muted macro coefficients.

Sign stability exceeds 75% for only a few change‑coefficients (e.g., unemployment change 100%); many level coefficients hover around 57‑71%, indicating moderate confidence in the estimated sensitivities.

💡 Investor Takeaway:

Investors should monitor CPI and Fed‑funds rate trajectories as primary drivers of CBRE's near‑term performance. In environments of declining inflation and easing rates, the firm stands to benefit from improved client activity, while persistent price pressures or higher rates pose a material headwind. Positioning the stock with an eye on these macro trends, or using inflation‑linked hedges, can help manage exposure.

Methodology

Regression Model

Revenue_Growth_t = α + β₁(Macro_Level_t) + β₂(Macro_Change_t) + ε

Model specification: - Y = Company revenue growth (quarterly) - Macro_Level = Absolute value of macro variable (e.g., Fed Funds at 5%) - Macro_Change = Quarter-over-quarter change in macro variable - Separate regressions for each macro variable to isolate effects - Ridge regularization (α=1.0) to handle multicollinearity Sign stability is computed by running the regression on rolling 20-quarter windows and counting the fraction of windows with the same coefficient sign.

Strength Classification
  • High: |β| > 0.3
  • Moderate: |β| > 0.1
  • Low: |β| ≤ 0.1
Confidence Classification
  • Stable: Sign stability > 75%
  • Moderate: Sign stability > 50%
  • Unstable: Sign stability ≤ 50%

CBRE - CBRE Group, Inc.

Step 1: Aligned Data (40 quarters, 2016Q1 to 2025Q4)

Sample of the data used for regression analysis. Company fundamentals aligned with macro indicators by quarter.

Fiscal Quarter Revenue Growth (YoY %) Gross Margin (%)
2016Q1 38.7% 29.3%
2016Q2 34.2% 30.3%
2016Q3 17.7% 29.9%
... ... ...
2025Q2 16.2% 93.7%
2025Q3 13.5% 19.4%
2025Q4 11.8% 18.5%
Step 2: Regression Results

Ridge regression coefficients (β) showing sensitivity to each macro variable. Separate columns for Level (absolute value) and Change (direction).

Variable β (Level) β (Change) Sign Stability (L) Sign Stability (C)
CPI -0.360 0.040 57% 86%
RATES -0.312 -0.039 71% 57%
MORTGAGE -0.241 -0.012 57% 86%
CONSUMER 0.317 -0.108 57% 86%
GDP -0.012 -0.029 57% 86%
UNEMPLOYMENT -0.263 -0.126 57% 100%

* p<0.10, ** p<0.05, *** p<0.01 | Sign Stability = fraction of rolling windows with same coefficient sign

Step 3: Classification Logic

How we applied thresholds to convert regression coefficients into classifications.

Variable Type β → Direction → Strength → Confidence
CPI Level -0.360 Negative High Moderate
CPI Change 0.040 Neutral Low Stable
RATES Level -0.312 Negative High Moderate
RATES Change -0.039 Neutral Low Moderate
MORTGAGE Level -0.241 Negative Moderate Moderate
MORTGAGE Change -0.012 Neutral Low Stable
CONSUMER Level 0.317 Positive High Moderate
CONSUMER Change -0.108 Negative Low Stable
GDP Level -0.012 Neutral Low Moderate
GDP Change -0.029 Neutral Low Stable
UNEMPLOYMENT Level -0.263 Negative High Moderate
UNEMPLOYMENT Change -0.126 Negative Moderate Stable
Step 4: Final Macro Sensitivity Profile

Company characteristics that inform macro sensitivity expectations:

Trait Classification Key Metric Implication
Pricing Power Low GM: 24.9% Margin compression risk
Leverage Medium D/E: 0.37 Moderate rate exposure
Macro Variable Direction Strength Confidence Interpretation
CPI ↓ Negative High Moderate High negative cpi exposure
RATES ↓ Negative High Moderate High negative rates exposure
MORTGAGE ↓ Negative High Moderate High negative mortgage exposure
CONSUMER ↑ Positive High Moderate High positive consumer exposure
GDP — Neutral Low Moderate Low neutral gdp exposure
UNEMPLOYMENT ↔ Mixed High Moderate High mixed unemployment exposure
Level vs Change Sensitivity (Fundamentals)

Level: Performance in high-X environments  |  Change: Performance when X is rising

Variable Level Sensitivity Change Sensitivity
CPI Negative (high)
Performs worse in high-inflation environments (high)
Neutral
No significant sensitivity to inflation changes
RATES Negative (high)
Performs worse in high-interest rate environments (high)
Neutral
No significant sensitivity to interest rates changes
GDP Neutral
No significant sensitivity to GDP levels
Neutral
No significant sensitivity to GDP changes
UNEMPLOYMENT Negative (high)
Performs worse in high-unemployment environments (high)
Negative (moderate)
Hurt when unemployment rises (moderate)
Macro Risks
  • Cpi rising
  • Rates rising
  • Mortgage rising
  • Consumer falling
Macro Tailwinds
  • Cpi falling
  • Rates falling
  • Mortgage falling
  • Consumer rising

Summary: CBRE is negatively exposed to inflation and negatively exposed to interest rates. Key risks: cpi increases, rates increases.

Method: Mixed | Data: 44 quarters (2015Q1-2025Q4)

Macro Shock / Event Response

Methodology: Event Study with Bootstrap Inference

We analyze stock returns around macroeconomic announcements using bootstrap confidence intervals for the median. This approach is robust to outliers and makes no distributional assumptions.

Why Median (not Mean)?

Median is robust to extreme outliers. A single +10% or -10% day won't distort the central tendency.

Bootstrap CI

Resample data 1000x, compute median each time, take percentiles. No normality assumption required.

Interpretation

If CI excludes zero → evidence of consistent directional pattern.
If CI includes zero → no reliable pattern detected.

When macro data drops, investors scramble to price its impact—but the reaction isn’t uniform across every stock. For a real‑estate services giant like CBRE, the market’s response to Fed moves, inflation prints, and jobs reports can reveal how sensitive its valuation is to broader economic tides. This event‑study snapshot walks through those historic patterns.

We examined daily returns surrounding 440 macro and earnings events from Jan 2015 to Jun 2026, using bootstrap‑derived 95% confidence intervals on median returns to flag statistically reliable moves.

GDP releases generate the clearest directional response, while most other macro events show muted, statistically ambiguous reactions.

Key Findings Across All Companies:

Across the sample, the median market move on FOMC, CPI and NFP days hovers near zero and the confidence bands all contain zero, indicating no consistent pattern. By contrast, GDP announcements produce a statistically significant median uplift of +0.41% (95% CI +0.20% to +0.68%) and a positive‑event share of 62.2%. Overall, just over half of the events yield a positive return, underscoring mixed investor sentiment.

  • FOMC: Median +0.07% (95% CI ‑0.32% to +0.47%) with 53.3% of days positive – the interval spans zero, so the reaction is not statistically reliable.
  • CPI: Median +0.19% (95% CI ‑0.81% to +0.40%) and 54.3% positive – again, the confidence band includes zero, suggesting no firm directional bias.
  • NFP: Median +0.23% (95% CI ‑0.29% to +0.47%) with 51.7% positive – the spread is wide, reflecting high noise around employment news.
  • GDP: Median +0.41% (95% CI +0.20% to +0.68%) and 62.2% positive – the only macro event where the CI excludes zero, indicating a repeatable positive lift.

CBRE

CBRE’s stock nudges higher on macro news, but only GDP releases spark a statistically reliable lift.

Across 92 FOMC, 70 CPI, 143 NFP and 135 GDP events, CBRE’s median daily return is modestly positive—ranging from +0.07% on Fed meetings to +0.41% on GDP releases. The confidence intervals for FOMC, CPI, and NFP all contain zero, indicating that the market’s reaction is not systematic. GDP stands out with a significant median gain (+0.41%, 95% CI +0.20% to +0.68%) and 62.2% of those days ending positive, reflecting the firm’s exposure to overall economic growth. Earnings announcements generate the highest median jump (+0.54%) but the interval (‑0.45% to +2.03%) is too wide to claim statistical certainty.

Post-Event Follow-Up:

Six‑month cumulative returns after macro events hover around 7‑8%, with momentum rates just above 50% (e.g., 54.4% for GDP). Earnings releases show the strongest persistence, with 64.3% of events maintaining the same sign over six months.

  • Even though median reactions are small, more than half of all macro events end positive (53‑62% across types), suggesting a slight bias toward upside in a generally growth‑oriented sector.
  • The 6‑month return tail after GDP news (+7.06% median) exceeds that after CPI (+7.52%) and NFP (+8.03%), implying that the initial positive lift often compounds as the broader economy validates the growth signal.
  • Earnings‑driven moves, while not statistically significant on the day, generate the largest six‑month median gain (+11.89%) and the highest momentum rate (64.3%), hinting that fundamental beat‑or‑miss outcomes drive longer‑term price drift.

The histograms below display the full distribution of event‑day returns, highlighting the spread of outcomes beyond the median figures.

These patterns reflect historical tendencies and are subject to sample‑size constraints—especially for earnings events (n=44). Market dynamics, regulatory shifts, or structural changes in the real‑estate sector could alter future sensitivities.

💡 Investor Takeaway:

For investors, CBRE’s modest but positive tilt on macro news suggests that rate or inflation surprises alone are unlikely to swing the stock dramatically. However, GDP announcements—signaling broader economic health—have historically nudged the share upward and the effect can linger for months. Monitoring the macro backdrop can help time entry or add‑on positions, but sizing should respect the modest magnitude and the inherent noise in daily reactions.

Aggregate Event Responses (All Companies)

Note on Aggregation: The aggregate statistics pool all individual stock returns on event days without weighting. Each stock-event observation is treated equally. For portfolio-level inference, consider applying appropriate weights based on your holdings. S&P 500 benchmark is included for market-wide comparison.

How Do Stocks Respond to Macro Announcements?

Median daily return on event days, with 95% bootstrap confidence intervals. S&P 500 shown as market benchmark.

Event Type N Events Portfolio Median S&P 500 Median 95% CI (Portfolio) % Positive Significance
FOMC 92 +0.07% -0.02% [-0.32%, +0.47%] 53% CI includes zero
CPI 70 +0.19% +0.25% [-0.81%, +0.40%] 54% CI includes zero
NFP 143 +0.23% +0.18% [-0.29%, +0.47%] 52% CI includes zero
GDP 135 +0.41% +0.15% [+0.20%, +0.68%] 62% CI excludes zero
FOMC Day Returns Distribution

N=92 events

CPI Day Returns Distribution

N=70 events

NFP Day Returns Distribution

N=143 events

GDP Day Returns Distribution

N=135 events

Company-Specific Event Responses

CBRE - CBRE Group, Inc.

Data: 2015-01-05 to 2026-04-01 (2827 trading days) | Most reactive to: Earnings

Event N Median 95% CI % Positive Pattern
FOMC 92 +0.07% [-0.32%, +0.47%] 53% No clear pattern
CPI 70 +0.19% [-0.81%, +0.40%] 54% No clear pattern
NFP 143 +0.23% [-0.29%, +0.47%] 52% No clear pattern
GDP 135 +0.41% [+0.20%, +0.68%] 62% Positive pattern
Earnings 44 +0.54% [-0.45%, +2.03%] 55% No clear pattern
Post-Event Follow-Up (6-Month Returns)

Compares event-day reaction to 6-month subsequent return. Momentum: same direction as event-day. Reversal: opposite direction.

Event Events w/ 6M Data Avg 6M Return Momentum Reversal Dominant Pattern
FOMC 87 +7.1% 39 (45%) 48 (55%) Mixed
CPI 57 +7.5% 30 (53%) 26 (46%) Mixed
NFP 130 +8.0% 67 (52%) 63 (48%) Mixed
GDP 125 +7.1% 68 (54%) 57 (46%) Mixed
Earnings 42 +11.9% 27 (64%) 15 (36%) Momentum
CBRE FOMC Returns

N=92

CBRE CPI Returns

N=70

CBRE NFP Returns

N=143

CBRE GDP Returns

N=135

CBRE Earnings Returns

N=44

FOMC: Median: +0.07% (95% CI: -0.32% to +0.47%), N=92; Earnings: Median: +0.54% (95% CI: -0.45% to +2.03%), N=44

Regime, Cycle & State-Dependent Behavior

Current Macro Regime

Rate Policy
Easing
Fed Funds: 3.64%
Inflation
Moderate
CPI YoY: 2.5%
Growth
Slowdown
GDP: 0.7%
Consumer
Cautious
UMCSENT: 56.6
Cycle Phase
Early Expansion

Rate policy: Easing (5mo) | Inflation: Moderate (CPI: 2.5%) | Growth: Slowdown | Consumer: Cautious | Cycle: Early Expansion

Regime analysis reveals how a company’s stock reacts to the shifting macro backdrop. Some firms thrive when rates are steady, while others stumble in easing environments. Mapping CBRE’s performance across these regimes helps gauge its resilience and upside potential.

Where We Stand:

As of March 1 2026 we are in an Easing rate regime (Fed Funds 3.64%, down 0.58% over six months), with Moderate inflation (CPI 2.45% YoY), a Slowdown in growth (GDP 0.7%), and Cautious consumer sentiment (56.6). The business cycle sits in Early Expansion, signalling the early stages of a post‑recession recovery.

CBRE

CBRE is a stable‑rate play—it shines when policy is predictable and falters when the Fed eases.

In Stable‑rate periods CBRE posted an average monthly return of +2.65% (median +2.72%) with 63.8% positive months, but volatility was relatively high at 9.64%. During Tightening cycles the stock still delivered a positive +0.92% average return (median +1.47%) and 52.3% positive months, albeit with lower volatility (8.00%). In contrast, Easing environments produced a negative average return of -0.41% per month (median still slightly positive at +1.02%) and a 9.12% volatility, with only 51.9% of months ending up. The 3.06% spread between the best (Stable) and worst (Easing) regimes underscores a clear rate sensitivity.

Best & Worst Environments:

Best: Stable rates combined with moderate inflation and an expanding economy. Worst: Easing rates paired with high inflation and a contracting cycle.

Current Positioning:

The present Easing‑rate, Moderate‑inflation backdrop is neutral to slightly adverse for CBRE, given its -0.41% average return in similar past periods.

State-Dependent Behavior:

CBRE’s performance varies markedly across rate regimes, confirming strong state‑dependent behavior.

Business Cycle Insights:

We are in the Early Expansion phase, where historically CBRE’s returns have been modest but positive. The firm’s strongest historical performance has come in Mid Expansion, suggesting that a move up the cycle could boost its earnings and stock momentum.

Comparative Analysis:

With a 3.06% performance spread, CBRE shows notable macro sensitivity—more cyclical than highly defensive real‑estate peers that tend to exhibit smaller spreads. Its volatility rises in both Stable and Easing regimes, indicating that while it can generate outsized gains when rates are steady, it also bears higher risk when policy shifts.

Scenario Analysis:

If the Fed continues easing, CBRE may face pressure, potentially extending its recent -0.41% monthly average. Conversely, a pivot to Stable or Tightening rates, coupled with sustained moderate inflation, would likely re‑ignite its +2.65%/mo upside. A resurgence in GDP growth that pushes the cycle toward Mid Expansion would further align with its historically strongest environment.

💡 Investor Takeaway:

Investors should treat CBRE as a macro‑sensitive holding: allocate it when expecting stable or tightening rate conditions and moderate inflation, but be prepared for downside in prolonged easing periods. Position sizing and diversification can mitigate the heightened volatility observed in its best and worst regimes.

Regime Classification Methodology

We classify macro regimes using transparent, rules-based thresholds applied to historical data.

Rate Regime
  • Tightening: >+25% 6mo change
  • Easing: <-25% 6mo change
Inflation Regime
  • High: >4% CPI YoY
  • Elevated: 2-4% CPI YoY
  • Moderate: 2-3% CPI YoY
  • Low: <2% CPI YoY
Growth Regime
  • Expansion: >2% GDP
  • Slowdown: 0-2% GDP
  • Contraction: <0% GDP
Consumer Regime
  • Confident: >85 UMCSENT
  • Neutral: 70-85 UMCSENT
  • Cautious: 55-70 UMCSENT
  • Pessimistic: <55 UMCSENT

Performance by Macro Regime

Performance by Inflation Regime

Current regime: Moderate

Performance by Growth Regime

Current regime: Slowdown

Performance by Business Cycle Phase

Current phase: Early Expansion

Company Regime Profiles

CBRE - CBRE Group, Inc.

Best Environment
Stable rates + moderate + expansion
Worst Environment
Easing rates + high inflation + contraction
Current Environment
Neutral
Rate Regime Performance
Regime Months Avg Return Volatility % Positive
Stable 58 +2.65%/mo 9.64% 64%
Tightening 44 +0.92%/mo 8.00% 52%
Easing 27 -0.41%/mo 9.12% 52%

Performance spread (best - worst): 3.06%/mo

Business Cycle Performance
Phase Quarters Avg Quarterly Return
Early Expansion NOW 6 +1.8%/qtr
Mid Expansion 29 +7.0%/qtr
Late Expansion 5 +3.0%/qtr
Contraction 4 -9.6%/qtr
Key Regime Insights
  • Rate sensitivity: Performs best in Stable (+2.65%/mo), worst in Easing (-0.41%/mo)
  • Inflation impact: Favors moderate environments
  • Cycle positioning: Historically strongest in Mid Expansion

Analysis period: 2015-01 to 2026-03 | Quarters analyzed: 45

Cross-Sectional & Peer Comparison

Peer comparison places a company’s macro sensitivities in context, revealing whether its fundamentals move in step with, or diverge from, industry norms. By benchmarking against a peer set, investors can gauge relative exposure to interest rates, inflation, and economic growth, and assess the implications of leverage and market beta.

CBRE

CBRE rate sensitivity of -0.31 exceeds the peer average of -0.20, inflation sensitivity of -0.36 is markedly lower than the peer average of -0.13, while its GDP sensitivity of -0.01 is slightly below the peer average of +0.05; its equity beta of 1.34 tops the peer mean of 0.87 and its leverage ratio of 0.37 is well under the peer average of 1.34.

CBRE’s rate coefficient of -0.31 places it in the high‑sensitivity bracket, yet it is 55% more rate‑exposed than the typical peer. Its inflation coefficient of -0.36 signals a strong negative reaction to price pressures, more than double the average peer response. Conversely, CBRE’s GDP coefficient is near neutral, indicating limited cyclicality relative to peers that show modest positive GDP links.

Why Different:

The heightened rate and inflation sensitivities stem from CBRE’s large portfolio of leased office and industrial space, where lease terms often reset with market rates and rent escalations are tied to CPI. A lower leverage ratio (0.37 vs 1.34 peer average) dampens the amplification of macro shocks on earnings, but also limits the firm’s ability to boost returns through debt‑financed acquisitions.

Investment Implication:

In a rising‑rate, inflation‑persistent environment, CBRE is likely to see earnings pressure greater than most peers, though its modest leverage provides a cushion. Investors seeking exposure to real‑estate fundamentals with lower debt risk should note the trade‑off of heightened macro sensitivity.

Comparative Summary:

Across the peer set, most REITs exhibit moderate to high negative rate and inflation sensitivities, but CBRE stands out for being more rate‑exposed and markedly more inflation‑sensitive while maintaining a low leverage profile. Its beta of 1.34 suggests greater equity‑market volatility than peers, positioning CBRE as a higher‑risk, higher‑reward play within the sector.

CBRE vs Peers

Real Estate | 8 peers analyzed

Company Rate Sens. Inflation Sens. GDP Sens. Beta Leverage
CBRE -0.31 -0.36 -0.01 1.34 0.37
PSA -0.22 +0.14 +0.01 0.96 1.11
CCI -0.53 -0.62 +0.02 0.95 N/A
BEKE -0.13 -0.31 +0.08 -0.59 0.28
O +0.06 +0.36 -0.07 0.77 0.83
CSGP -0.36 -0.40 +0.10 0.90 0.12
JLL -0.35 -0.06 +0.12 1.44 0.45
DLR -0.34 -0.42 +0.11 1.13 0.86
SPG +0.29 +0.30 +0.02 1.40 5.75
Peer Average -0.20 -0.13 +0.05 0.87 1.34

Sensitivity values are regression coefficients. Negative rate sensitivity = hurt by rising rates. Positive inflation sensitivity = benefits from inflation.

Positioning vs Peers

CBRE

Rate Sensitivity
Less rate-sensitive than peers (-0.31 vs -0.20)
Inflation Sensitivity
Less inflation-sensitive than peers (-0.36 vs -0.13)
GDP Sensitivity
In line with peers (-0.01 vs +0.05)
Beta
Higher beta than peers (1.34 vs 0.87)
Key Differentiators: more rate-sensitive than peers, less inflation-sensitive than peers, higher beta than peers
Methodology: Peer sensitivities computed using same methodology as Section 8B: - Ridge regression of company fundamentals on macro variables - Coefficients represent sensitivity to 1 standard deviation change in macro variable - Peers sourced from FMP Peers API, filtered to same sector
Peers analyzed: 8 | Peers with sufficient data: 8

Macro & Fundamental Time Patterns

Methodology & Data Sources (click to expand)

Statistical Method: Pearson Cross-Correlation Analysis

We compute the Pearson correlation coefficient between company fundamental changes and macro variable changes at various time lags. For each lag k (from -6 to 6 quarters), we shift the macro series by k periods and correlate with the company series. The 'optimal lag' is the lag with the strongest absolute correlation.

Company Fundamentals Used

revenue_growth operating_income_growth margin_change

Company fundamentals are expressed as year-over-year (YoY) changes to remove seasonality: revenue_growth (YoY % change in revenue), operating_income_growth (YoY % change in operating income), and margin_change (YoY change in gross margin). Using YoY changes avoids seasonal patterns and spurious correlation from trends.

Macro Series (FRED)

RATES FEDFUNDS (Effective Federal Funds Rate)
CPI CPIAUCSL (Consumer Price Index for All Urban Consumers)
GDP GDP or GDPC1 (Gross Domestic Product)
UNEMPLOYMENT UNRATE (Unemployment Rate)

Macro series from FRED are resampled to quarterly frequency (end-of-quarter) and expressed as year-over-year percent changes. This aligns the macro data with company quarterly reporting, removes seasonality, and ensures stationarity.

Analysis Parameters

Lag Range Tested
-6 to 6 quarters

Positive lag (e.g., +3Q): Macro changes precede fundamental changes by 3 quarters. This is the typical pattern - companies react to macro environment. Zero lag: Contemporaneous movement within the same quarter. Negative lag (e.g., -2Q): Company fundamentals move 2 quarters BEFORE macro - rare, suggests company is a leading indicator.

Minimum Observations
12 quarters

Minimum 12 overlapping quarterly observations required for correlation calculation. This ensures statistical reliability and covers at least 3 years of history.

Significance Threshold
|r| ≥ 0.25

Correlations with |r| >= 0.25 are flagged as significant. This threshold identifies relationships strong enough to be economically meaningful while filtering out noise.

Cycle Position Classification

Early-cycle Average response lag 0-1.5 quarters. Company fundamentals respond quickly to macro changes.
Mid-cycle Average response lag 1.5-3.5 quarters. Typical response timing for most companies.
Late-cycle Average response lag 3.5-5.5 quarters. Slow response, often due to long-term contracts or capex cycles.
Acyclical Average response lag > 5.5 quarters OR weak correlations. Minimal macro sensitivity.

Data Summary

Companies Analyzed: 1
Quarterly Observations: 55
Macro Data Points: 41
  • Found 4 significant macro-fundamental relationships (|r| >= 0.25).

Understanding how quickly a company’s fundamentals react to macroeconomic shifts helps investors time entry and exit decisions. Lag analysis reveals whether earnings will feel a policy change today, next quarter, or further down the road, shaping short‑term risk and positioning strategies.

CBRE

CBRE’s fundamentals lag interest rates by 2 quarters, CPI by 5 quarters, GDP by 6 quarters, and move contemporaneously with unemployment.

The fastest macro driver is the federal funds rate, with a 2‑quarter lag and a modest negative correlation (‑0.31), indicating earnings dip as rates rise but only after half a year. Inflation (CPI) and overall economic growth (GDP) take longer to filter through, showing 5‑quarter (‑0.46) and 6‑quarter (‑0.53) lags respectively. Unemployment is the only variable that aligns in real time (0‑quarter lag, correlation ‑0.51).

Business Driver:

CBRE operates in commercial real‑estate leasing and property management, where lease negotiations, construction timelines, and tenant decisions span multiple quarters, creating delayed sensitivity to broader economic conditions. Labor market changes affect occupancy and rent‑growth more immediately, explaining the contemporaneous link to unemployment.

Timing Implication:

Investors should expect CBRE’s earnings to reflect macro shifts with a built‑in delay, allowing a window to position ahead of the impact. Rising rates or inflation may not depress results for 2‑6 quarters, offering a short‑term buffer but also signaling that a turnaround in macro conditions will take time to translate into higher earnings.

Timing Comparison:

With a 2‑quarter rate lag and up to a 6‑quarter GDP lag, CBRE sits on the slower end of the response spectrum, typical of late‑cycle, defensive businesses. Compared to peers that often react within 0‑2 quarters, CBRE provides investors more lead time before macro effects materialize.

Cycle Positioning:

CBRE is classified as a late‑cycle company, reflecting its slower reaction to macroeconomic changes and defensive positioning in the business cycle.

Company Timing Profiles

Company Rate Lag CPI Lag GDP Lag Unemp Lag Cycle Position
CBRE 2Q 5Q 6Q 0Q Late-cycle

Lag = quarters after macro change before company fundamentals respond. Green = fast response (≤1Q). Red = slow response (≥4Q).

Cross-Correlation Analysis Results

Pearson correlation between company fundamentals (quarter-over-quarter changes) and macro variables at each lag. Highlighted cells indicate |r| ≥ 0.25 (significant).

CBRE

RATES vs revenue_growth
SIGNIFICANT
Optimal Lag
2Q
Correlation at Optimal
-0.305
Correlation at Lag 0
-0.210
Relationship
Lagging
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.04 0.11 0.19 0.20 0.14 -0.03 -0.21 -0.29 -0.31 -0.23 -0.17 -0.13 -0.07

Yellow = optimal lag. Green/Red = significant positive/negative correlation.

CBRE shows moderate negative correlation and responds 2 quarters after interest rate changes.

CPI vs revenue_growth
SIGNIFICANT
Optimal Lag
5Q
Correlation at Optimal
-0.461
Correlation at Lag 0
-0.029
Relationship
Lagging
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.45 -0.34 -0.22 -0.08 0.02 -0.02 -0.03 -0.10 -0.21 -0.32 -0.45 -0.46 -0.42

Yellow = optimal lag. Green/Red = significant positive/negative correlation.

CBRE shows strong negative correlation and responds 5 quarters after inflation changes.

GDP vs revenue_growth
SIGNIFICANT
Optimal Lag
6Q
Correlation at Optimal
-0.525
Correlation at Lag 0
0.171
Relationship
Lagging
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.25 -0.19 -0.25 -0.16 -0.07 -0.02 0.17 0.14 0.04 -0.13 -0.37 -0.46 -0.53

Yellow = optimal lag. Green/Red = significant positive/negative correlation.

CBRE shows strong negative correlation and responds 6 quarters after GDP growth changes.

UNEMPLOYMENT vs revenue_growth
SIGNIFICANT
Optimal Lag
0Q
Correlation at Optimal
-0.508
Correlation at Lag 0
-0.508
Relationship
Contemporaneous
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.03 -0.05 -0.04 -0.10 -0.19 -0.31 -0.51 -0.42 -0.24 -0.02 0.23 0.33 0.36

Yellow = optimal lag. Green/Red = significant positive/negative correlation.

CBRE shows strong negative correlation and responds immediately to unemployment changes.

Response Persistence

How long macro impacts persist after initial response.

Company Macro Variable Peak Impact Half-Life Persistence
CBRE RATES 2Q 3Q Moderate
CBRE CPI 5Q N/A Unknown
CBRE GDP 6Q N/A Unknown
CBRE UNEMPLOYMENT 0Q 2Q Transient
Methodology: Cross-correlation analysis at lags from -6 to 6 quarters. Minimum 12 observations required. Significance threshold: |r| > 0.25.

Scenario Analysis & Stress Testing

Methodology & Assumptions (click to expand)

Scenario Definitions

Scenarios are grounded in historical stress periods, not arbitrary assumptions. Each scenario's macro assumptions map to actual observed changes during past economic events.

Impact Calculation

Section 8B Ridge Regression: Impact = Σ (sensitivity_coefficient × macro_change). Propagated from regression standard errors

Limitations

  • Linear approximation may not hold in extreme scenarios
  • Cross-variable interactions not modeled
  • Historical relationships may not persist

The scenario analysis projects CBRE’s revenue‑growth performance under four macroeconomic stress tests derived from historic episodes. Each scenario applies the ridge‑regression sensitivity coefficients to the macro shifts, yielding a point estimate and a 95 % confidence interval. The methodology assumes linear responses and flags low reliability where coefficient stability is weak.

Four scenarios are examined: a benign baseline, a mild stress mirroring early‑2022 conditions, a severe 2008‑style shock, and a 2022‑like rate shock. The macro shocks are anchored to actual historical periods – early 2022 tightening, the 2008 Global Financial Crisis, and the 2022 Fed tightening cycle – to give the tests economic grounding.

CBRE

CBRE’s revenue‑growth is projected to decline by only 0.05 percentage points in a 2022‑style rate shock but could fall by 0.42 percentage points under a 2008‑like severe stress, indicating a modest overall sensitivity range of 0.4 pp.

Vulnerabilities:

The dominant downside driver is the unemployment coefficient (‑0.126), which translates a 1‑point rise in unemployment into a 0.126 pp hit to growth. Rising rates also hurt, with a coefficient of ‑0.039, while higher inflation actually provides a modest boost (+0.040 per CPI point). GDP sensitivity (‑0.029) is comparatively muted.

Comparative Analysis:

Across the tested scenarios, CBRE exhibits the smallest projected revenue‑growth swing, implying it is among the less vulnerable real‑estate service firms to macroeconomic turbulence, especially compared to sectors with higher rate or GDP sensitivities.

Historical Stress Periods (Reference)

Scenarios are calibrated to historical stress events. These periods inform the magnitude of macro assumptions.

Period Rates CPI GDP Unemployment S&P 500
2008 Financial Crisis
Sep 2008 - Mar 2009
-4.0pp -4.5pp -4.0pp +5.0pp -56.8%
2020 COVID Crash
Feb 2020 - Apr 2020
-1.5pp -1.5pp -9.0pp +11.0pp -33.9%
2022 Rate Tightening
Mar 2022 - Oct 2022
+4.2pp +3.0pp -0.5pp +0.5pp -25.4%

Scenario Definitions

Baseline

BENIGN

Current macro trajectory continues

Historical basis: Current conditions
Interest Rates (Fed Funds) No change
Inflation (CPI YoY) No change
GDP Growth No change
Unemployment Rate No change

Mild Stress

MILD

Moderate economic slowdown with rising rates

Historical basis: Similar to early 2022 conditions
Interest Rates (Fed Funds) +1.0pp
Inflation (CPI YoY) +1.0pp
GDP Growth -1.0pp
Unemployment Rate +1.0pp

Severe Stress (2008-like)

SEVERE

Severe recession with deflationary pressures

Historical basis: 2008 Global Financial Crisis
Interest Rates (Fed Funds) -2.0pp
Inflation (CPI YoY) -2.0pp
GDP Growth -3.0pp
Unemployment Rate +4.0pp

Rate Shock (2022-like)

MODERATE

Aggressive rate tightening with persistent inflation

Historical basis: 2022 Fed Tightening Cycle
Interest Rates (Fed Funds) +2.0pp
Inflation (CPI YoY) +2.0pp
GDP Growth -0.5pp
Unemployment Rate +0.5pp

Company Stress Profiles

CBRE - CBRE Group, Inc.

Impact Range: 0.4pp
Impact measured on: Revenue Growth (YoY)
Lowest Impact
-0.42pp
Severe Stress (2008-like)
Highest Impact
-0.05pp
Rate Shock (2022-like)
Values shown as percentage points vs. baseline scenario (current macro trajectory).
Primary Vulnerabilities
cpi_rising rates_rising mortgage_rising consumer_falling
Primary Strengths
cpi_falling rates_falling mortgage_falling consumer_rising
Show scenario-by-scenario breakdown
Scenario Total Impact 95% CI Reliability Primary Driver
Baseline +0.00pp (+0.0, +0.0) low None identified
Mild Stress -0.10pp (-0.2, -0.0) low Unemployment Rate
Severe Stress (2008-like) -0.42pp (-0.7, -0.1) low Unemployment Rate
Rate Shock (2022-like) -0.05pp (-0.1, +0.0) low Interest Rates (Fed Funds)
Shows resilience in stress scenarios (lowest Revenue Growth (YoY) impact: -0.4pp). Narrow outcome range across scenarios. Primary risks: cpi_rising, rates_rising.
Data Quality: 1 companies analyzed | 4 scenarios | 0 with high-reliability estimates.
Analysis date: 2026-04-01 | Data as of: 2026-03-01

Summary & Investment Implications

In an easing-rate, moderate-inflation environment (Fed Funds 3.64%, CPI 2.45% YoY), CBRE exhibits moderate macro sensitivity but a high degree of stress resilience, positioning it as a relatively defensive real‑estate services play amid uncertain macro shifts.

Macro Profile At a Glance

Company Macro Sensitivity Regime Fit Stress Resilience Lowest Impact Key Risk
CBRE
CBRE Group, Inc.
Moderate Neutral High -0.42pp
Severe Stress (2008-like)
cpi_rising
Lowest Impact = estimated Revenue Growth (YoY) change vs. baseline under most adverse stress scenario.

Company Macro Assessments

CBRE

CBRE's macro sensitivity is rated moderate and its fit to the current easing‑rate, moderate‑inflation regime is neutral. Stress‑scenario testing shows a maximum revenue‑growth drag of just -0.05pp under a 2022‑type rate shock and a low‑end impact of -0.42pp in a severe 2008‑like stress, indicating strong resilience. The key risk is a rise in CPI, while a falling CPI supports its outlook.

Investment Implications

Given the modest -0.05pp revenue‑growth impact from a rate shock, investors may consider a neutral‑to‑slight overweight stance on CBRE, treating it as a defensive holding that can weather modest rate hikes.

The moderate macro sensitivity combined with high stress resilience suggests CBRE can sustain its revenue trajectory even if inflation spikes temporarily, supporting a longer‑term hold rather than short‑term tactical trades.

Trading Considerations

Monitor monthly CPI releases; a sustained CPI rise above 2.5% could trigger the cpi_rising risk factor and pressure revenue growth.

Watch Fed Funds decisions for any shift from easing to tightening; a rate increase beyond 4.0% would test the -0.05pp rate‑shock impact and may prompt position adjustments.

Risk Watchlist

CPI upward deviation: if YoY CPI exceeds 2.8% for two consecutive months, the cpi_rising risk factor becomes material and may erode growth expectations.

Severe stress scenario: a sudden market shock resembling the 2008 crisis (e.g., sharp credit tightening) could push the revenue‑growth impact to -0.42pp, warranting a reassessment of the defensive thesis.

Key Takeaways

  1. CBRE’s revenue growth is minimally affected by typical rate shocks (-0.05pp).
  2. High stress resilience makes CBRE a defensive play in volatile macro environments.
  3. Rising CPI is the primary macro risk; falling CPI underpins its strength.
  4. Current estimates have low reliability—no robust regression or heuristic fallback—so investors should treat the numbers as indicative, not definitive.