Macroeconomic Context

Berkshire Hathaway: Macro Sensitivities to Rates and Growth

How interest rates, inflation, GDP and employment shifts reshape conglomerate cash flows and risk

BRK-B • 2026-03-16

8A: Overview: Economic & Company Trends

We’re in a slow, disinflationary transition: inflation is cooling but growth is weak and long-term yields remain elevated—creating a mixed backdrop for corporate performance.

Policy rates sit at 3.64% (Fed Funds, historical avg 2.03%) and are trending down, yet the 10‑year Treasury is still high at 4.28% (91st percentile) and the 2‑year sits at 3.73% and rising. CPI (All Items) is 2.7% and falling vs a historical average of 3.1%, while real GDP growth is only 1.4% (well below its 2.68% average) and declining. Unemployment is 4.4% and stable, but consumer sentiment is very weak at 56.4 (6th percentile) despite a recent uptick. Together this reads as lower inflation but anemic demand and persistently elevated market interest rates.

Key Economic Indicators:
  • Fed Funds 3.64% (70th percentile) and falling — policy appears to be easing but the policy rate remains materially above its long‑run average of 2.03%, so borrowing costs are still elevated for firms and households.
  • 10‑Year Treasury 4.28% (91st percentile) — long‑term yields are high, which raises discount rates, compresses equity multiples and increases the hurdle rate for new capital deployment.
  • Real GDP 1.4% (20th percentile) and Consumer Sentiment 56.4 (6th percentile) — growth and demand are weak; that environment magnifies the impact of Berkshire’s sharp revenue and cash‑flow deterioration (revenue -74.4%, FCF -383.1%).
What This Means for These Companies:

Berkshire Hathaway shows a stark earnings/cash disconnect: revenue plunged -74.4% and free cash flow collapsed -383.1%, yet operating margin is a stable 16.7% and reported net margin is 32.4%—suggesting non‑operating items or timing effects are propping net income while core sales and cash generation weaken. Capital efficiency metrics are muted (ROE 4.4%, ROA 2.5%), even as EPS is $14.28 and the stock delivered a rolling 12‑month return of +10.6%—the market appears to be valuing either balance sheet strength or investment gains despite deteriorating top‑line and cash metrics.

Overall Trajectory: Overall: disinflation is underway but growth is deteriorating and long‑term yields remain elevated—an uncertain mix that favors firms with resilient margins or investment flexibility and penalizes those with worsening revenue and cash flow.

The charts below trace rates, inflation, growth and Berkshire’s fundamentals over time so you can see how rising yields and weakening growth map onto the company’s revenue, margins and returns.

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% 2.03% 70th ↓ Falling
10-Year Treasury 4.28% 2.67% 91th → Stable
2-Year Treasury 3.73% 2.19% 76th ↑ Rising
30-Year Mortgage Rate 6.11% 4.72% 70th → Stable
CPI (All Items) YoY 2.7% 3.1% 53th ↓ Falling
Core CPI YoY 2.7% 3.1% 52th → Stable
Real GDP Growth 1.40% 2.68% 20th ↓ Falling
Unemployment Rate 4.40% 4.64% 59th → Stable
Consumer Sentiment 56.4 80.7 6th ↑ 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

8B: Macro Sensitivity & Exposure Analysis

We answer: how does Berkshire Hathaway's revenue growth respond to core macro moves—rates, inflation, mortgages, consumer sentiment, GDP and unemployment—and what does that imply for positioning? Macro sensitivity matters because it tells investors when a conglomerate's earnings are likely to out/underperform relative to market expectations.

We ran ridge regressions of quarterly revenue growth on macro LEVEL and CHANGE (16-quarter rolling windows) over 39 observations (2016Q1–2025Q3) to measure coefficient magnitude and sign stability.

BRK-B

Berkshire is unusually rate-friendly for a low-leverage, low-pricing-power conglomerate—it benefits when rates and mortgage yields are high.

Rates are the dominant macro signal: rate LEVEL β=+0.2978 (high strength) with 100% sign stability, and rate CHANGE β=+0.08175 (low strength, 66.7% stability). Mortgage LEVEL is also positive (β=+0.2422, moderate strength, 66.7% stability). By contrast, CPI level shows a moderate positive association (β=+0.1386, 66.7% stability) while CPI change is mildly negative (β=-0.0543). GDP and consumer coefficients are close to zero (GDP level β=-0.0245; consumer level β=-0.1084) with lower stability, and unemployment level is negative (β=-0.1760, stable). These coefficients sit alongside traits: low leverage (D/E=0.2148) and low pricing power (gross margin ≈32%), but very high cyclicality (score=100) and medium duration—explaining why interest-rate and mortgage moves show up strongly even though pricing power is limited.

Key Macro Exposures:
  • Rates (level): β=+0.2977764504320425, stability 100% → High positive exposure to sustained high short-term rates. Why: strong, stable coefficient despite low leverage (D/E=0.2148) suggests earnings composition benefits from a high-rate regime.
  • Mortgage (level): β=+0.24217136623737728, stability 66.7% → Moderate positive exposure to high mortgage rates, implying housing/credit-linked businesses within the conglomerate lift revenue when mortgage yields are higher.
  • CPI (level vs change): CPI level β=+0.13858106442963378 (moderate, 66.7% stability) but CPI change β=-0.05429066334247221 (low) → Mixed inflation footprint: Berkshire performs better in persistently higher inflation regimes, but short-term inflation spikes (rising CPI) correlate with modest near-term headwinds.
  • Unemployment (level): β=-0.17597167723992418, stability 100% → Moderate negative exposure to high unemployment; sustained weakening labor markets have a measurable drag on revenue growth.
Scenario Analysis:

If rates and mortgage yields remain elevated, expect an earnings tailwind from the rate/mortgage-sensitive channels (supported by β=+0.2978 and β=+0.2422). In a downturn with rising unemployment and falling GDP, revenue growth is likely to deteriorate (unemployment level β=-0.1760; GDP coefficients are small but unstable), so diversification won't fully insulate results.

⚠️ Macro Risks:
  • Rates falling: reverse of the strongest tailwind (rates level β=+0.2978) — a falling-rate regime removes a material positive driver of revenue growth.
  • Mortgage rates falling: mortgage level β=+0.2422 — housing/credit-exposed segments could weaken if mortgage yields decline.
  • Rising unemployment: unemployment level β=-0.17597 — sustained labor-market weakness should depress revenue growth.
✓ Macro Tailwinds:
  • Rates rising or remaining high: rates level β=+0.2978 (stable) — the clearest tailwind; position overweight if you expect persistent policy normalization.
  • Mortgage rates rising: mortgage level β=+0.2422 — benefits if consumer credit/housing yields stay elevated.
  • Persistent moderate inflation: CPI level β=+0.1386 — ability to weather higher structural inflation even with limited pricing power, though short-term CPI spikes can be a drag (CPI change β=-0.0543).
Comparative Analysis:

With the available single-company data, Berkshire’s strongest and most confident macro link is to interest rates (β=+0.2978, 100% stability) and mortgages (β=+0.2422). Compared to most low-leverage firms, its positive rate exposure is notable—it looks more rate-friendly than you would expect from a company with low D/E (0.215) and modest gross margin (~32%). GDP and consumer signals are weak or unstable, so macro optionality mainly runs through rates/mortgages rather than pure cyclical GDP exposure.

Confidence is highest for rate-level exposure (100% sign stability) and solid for unemployment (100%); several other coefficients show moderate sign stability (≈66.7%) and the GDP change signal is least stable (50%), based on 16-quarter rolling windows and 39 observations.

💡 Investor Takeaway:

Positioning should reflect a view on the rate path: overweight BRK-B if you expect rates/mortgage yields to stay high or rise (largest, most stable positive coefficients), but underweight or hedge duration exposure if you expect a return to significantly lower rates. Also monitor labor-market indicators—rising unemployment (β=-0.1760) is a clear downside trigger. Finally, treat GDP and short-term CPI-change signals cautiously given their low stability in the sample.

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%

BRK-B - Berkshire Hathaway Inc.

Step 1: Aligned Data (39 quarters, 2016Q1 to 2025Q3)

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

Fiscal Quarter Revenue Growth (YoY %) Gross Margin (%)
2016Q1 10.2% 39.6%
2016Q2 5.3% 39.6%
2016Q3 -0.2% 43.2%
... ... ...
2025Q1 -9.2% 34.8%
2025Q2 -15.9% 44.6%
2025Q3 -16.3% 23.3%
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 0.139 -0.054 67% 67%
RATES 0.298 0.082 100% 67%
MORTGAGE 0.242 -0.041 67% 67%
CONSUMER -0.108 0.054 67% 67%
GDP -0.024 -0.003 67% 50%
UNEMPLOYMENT -0.176 0.058 100% 83%

* 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 0.139 Positive Moderate Moderate
CPI Change -0.054 Negative Low Moderate
RATES Level 0.298 Positive High Stable
RATES Change 0.082 Positive Low Moderate
MORTGAGE Level 0.242 Positive Moderate Moderate
MORTGAGE Change -0.041 Neutral Low Moderate
CONSUMER Level -0.108 Negative Low Moderate
CONSUMER Change 0.054 Positive Low Moderate
GDP Level -0.024 Neutral Low Moderate
GDP Change -0.003 Neutral Low Unstable
UNEMPLOYMENT Level -0.176 Negative Moderate Stable
UNEMPLOYMENT Change 0.058 Positive Low Stable
Step 4: Final Macro Sensitivity Profile

Company characteristics that inform macro sensitivity expectations:

Trait Classification Key Metric Implication
Pricing Power Low GM: 32.0% Margin compression risk
Leverage Low D/E: 0.21 Rate insulated
Macro Variable Direction Strength Confidence Interpretation
CPI ↔ Mixed Moderate Moderate Moderate mixed cpi exposure
RATES ↑ Positive High Moderate High positive rates exposure
MORTGAGE ↑ Positive Moderate Moderate Moderate positive mortgage exposure
CONSUMER ↑ Positive High Moderate High positive consumer exposure
GDP ↑ Positive High Moderate High positive gdp exposure
UNEMPLOYMENT — Neutral High Moderate High neutral 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 Positive (moderate)
Performs better in high-inflation environments (moderate)
Negative (low)
Hurt when inflation rises (low)
RATES Positive (high)
Performs better in high-interest rate environments (high)
Positive (low)
Benefits when interest rates rise (low)
GDP Neutral
No significant sensitivity to GDP levels
Neutral
No significant sensitivity to GDP changes
UNEMPLOYMENT Negative (moderate)
Performs worse in high-unemployment environments (moderate)
Positive (low)
Benefits when unemployment rises (low)
Macro Risks
  • Rates falling
  • Mortgage falling
  • Consumer falling
  • Gdp falling
Macro Tailwinds
  • Rates rising
  • Mortgage rising
  • Consumer rising
  • Gdp rising

Summary: BRK-B is positively exposed to interest rates and positively exposed to mortgage. Key risks: rates decreases, mortgage decreases.

Method: Mixed | Data: 43 quarters (2015Q1-2025Q3)

8C: 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 the Fed speaks, markets listen—but Berkshire Hathaway doesn't always move like a pure cyclical or a pure financial. This analysis quantifies how BRK-B has historically reacted on days of major macro announcements (FOMC, CPI, NFP, GDP) and whether those initial moves tend to persist over the following six months.

We analyzed daily returns on 439 macro and company event days from 2015-01-09 to 2026-06-10 using a median-based event study with 1,000-iteration bootstrap 95% confidence intervals to identify consistent directional patterns.

NFP and GDP releases show the most reliable positive reactions for BRK-B; CPI and FOMC responses are mixed and statistically inconclusive.

Key Findings Across All Companies:

Nonfarm payrolls (NFP) and GDP releases both show statistically significant positive median event-day responses (NFP median +0.1428%, 95% CI +0.0509% to +0.3637%; GDP median +0.273%, 95% CI +0.1127% to +0.523%), indicating consistent upside on stronger labor and growth prints. By contrast, CPI and FOMC medians are negative (CPI median -0.1745%, FOMC median -0.0175%) but their CIs include zero, so there is no robust directional evidence for those event types.

  • FOMC: Median response is essentially flat-to-slightly-negative at -0.0175% (95% CI: -0.2095% to +0.123%), with only 45.05% of FOMC days positive. That CI includes zero, so Berkshire’s immediate reaction to Fed decisions is heterogeneous—market narrative and rate surprises matter more than the calendar itself.
  • CPI: Median day return is -0.1745% (95% CI: -0.2744% to +0.0661%) and only 42.86% of CPI days are positive. Inflation prints tend to generate downside headlines for BRK-B in the short run, but the bootstrap CI includes zero, so the effect is unreliable across episodes.

BRK-B

Berkshire reacts positively and reliably to growth and jobs surprises (GDP, NFP), while rate- and inflation-driven events (FOMC, CPI) produce mixed, unreliable day-one moves.

GDP releases produce the largest reliable day-one uplift (median +0.273%, 95% CI +0.1127% to +0.523%), and NFP also delivers a consistent positive median (+0.1428%, 95% CI +0.0509% to +0.3637%). These outcomes make sense: stronger growth and employment boost earnings prospects across Berkshire’s industrials, rail, energy, and consumer businesses and improve investment returns on its large float. By contrast, CPI and FOMC days show negative medians (CPI -0.1745%, FOMC -0.0175%) but wide CIs that include zero—Berkshire’s stock reacts inconsistently to inflation prints and Fed moves, likely because the company is a complex conglomerate with offsetting exposures (insurance float benefit from higher yields vs. business-specific rate/frictional impacts).

Post-Event Follow-Up:

Six‑month follow‑through is generally positive across event types (median 6m returns ~7%–7.9%), but immediate reactions often fade. Notably, FOMC day moves tend to reverse over six months (60.5% reversal rate), and earnings-day initial moves also show a 60% reversal rate—suggesting pricing inefficiencies around uncertainty resolution that later mean-revert.

  • NFP and GDP show consistent, positive event-day medians: NFP median +0.1428% (n=143, 60.1% positive days) and GDP median +0.273% (n=135, 60.7% positive days). So employment and growth surprises have been dependable catalysts for BRK-B.
  • Earnings have the largest point estimate on event day (median +0.6923%) but are based on only 7 events with a wide CI (-0.3895% to +1.8049%), so while earnings releases can move the stock substantially, the sample is too small to treat that as a stable pattern.

The histograms (not shown here) display the full distribution of event-day returns, highlighting that even when medians are small, outliers—especially around earnings and major macro shocks—drive dispersion.

These are historical, median-based tendencies—not forecasts—and small sample sizes for some event types (earnings n=7) limit confidence. Structural regime shifts (different inflation, rate, or policy environments) can change these relationships.

💡 Investor Takeaway:

For investors in BRK-B, GDP and NFP releases are the most reliable macro anchors: they have historically produced small-but-consistent positive day-one moves (median +0.273% and +0.1428%) and precede healthy six‑month cumulative returns (~+7%–+7.9%). By contrast, FOMC and CPI days are noisy—use them as signals to reassess positioning rather than as automatic trade triggers. Because initial reactions often reverse over six months (notably FOMC and earnings), consider emphasizing position sizing and time‑horizon-aware execution (e.g., staggered entries or options hedges) rather than attempting to front‑run single-day headlines.

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 91 -0.02% -0.02% [-0.21%, +0.12%] 45% CI includes zero
CPI 70 -0.17% +0.25% [-0.27%, +0.07%] 43% CI includes zero
NFP 143 +0.14% +0.18% [+0.05%, +0.36%] 60% CI excludes zero
GDP 135 +0.27% +0.15% [+0.11%, +0.52%] 61% CI excludes zero
FOMC Day Returns Distribution

N=91 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

BRK-B - Berkshire Hathaway Inc.

Data: 2015-01-05 to 2026-03-16 (2815 trading days) | Most reactive to: Earnings

Event N Median 95% CI % Positive Pattern
FOMC 91 -0.02% [-0.21%, +0.12%] 45% No clear pattern
CPI 70 -0.17% [-0.27%, +0.07%] 43% No clear pattern
NFP 143 +0.14% [+0.05%, +0.36%] 60% Positive pattern
GDP 135 +0.27% [+0.11%, +0.52%] 61% Positive pattern
Earnings 7 +0.69% [-0.39%, +1.80%] 71% 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 86 +7.6% 33 (38%) 52 (60%) Reversal
CPI 57 +7.9% 32 (56%) 25 (44%) Mixed
NFP 130 +7.2% 75 (58%) 55 (42%) Mixed
GDP 124 +7.9% 71 (57%) 53 (43%) Mixed
Earnings 5 +3.3% 2 (40%) 3 (60%) Mixed
BRK-B FOMC Returns

N=91

BRK-B CPI Returns

N=70

BRK-B NFP Returns

N=143

BRK-B GDP Returns

N=135

BRK-B Earnings Returns

N=7

FOMC: Median: -0.02% (95% CI: -0.21% to +0.12%), N=91; Earnings: Median: +0.69% (95% CI: -0.39% to +1.80%), N=7

8D: Regime, Cycle & State-Dependent Behavior

Current Macro Regime

Rate Policy
Easing
Fed Funds: 3.64%
Inflation
Moderate
CPI YoY: 2.4%
Growth
Slowdown
GDP: 1.4%
Consumer
Cautious
UMCSENT: 56.4
Cycle Phase
Early Expansion

Rate policy: Easing (4mo) | Inflation: Moderate (CPI: 2.4%) | Growth: Slowdown | Consumer: Cautious | Cycle: Early Expansion

Not all stocks react the same to macro cycles. Regime analysis reveals when a company’s diversified earnings and capital deployment amplify returns — and when macro winds can mute them. For long-horizon investors, that regime fingerprint helps size conviction and time exposures.

Where We Stand:

As of 2026-02-01 we sit in an Easing rate regime (Fed funds 3.64%, 6‑month change = -0.69) with Moderate inflation (CPI YoY 2.43%), Slowdown growth (GDP 1.4%), and a Cautious consumer (UMCSENT 56.4). Rates have been easing for ~4 months and the combination — early expansion with cooling growth — creates a neutral-to-supportive backdrop for firms that benefit from stable or modestly elevated inflation while avoiding rate-shock sensitivity.

BRK-B

Berkshire is a macro-flexible conglomerate that prefers stable-to-elevated inflation and late-cycle strength — not a pure defensive anchor nor a high-beta cyclical.

Berkshire’s returns vary with regimes but remain broadly positive. Under Stable rates it averaged +1.6238%/mo (n=58), versus +0.72396%/mo in Tightening (n=44) and +0.85871%/mo in Easing (n=26) — a rate-regime spread of ~0.90%/mo. On inflation, Berkshire is strongest in Elevated inflation (+2.0567%/mo, n=13) and still posts healthy returns in Moderate (+1.1212%/mo) and High (+1.0754%/mo) regimes, though High inflation comes with higher volatility (6.31% vs 4.14% in Elevated).

Best & Worst Environments:

Best: Stable rates + Elevated inflation during expansion (company-level guidance lists 'Stable rates + elevated + expansion'). Worst: Tightening combined with High inflation and slowing growth — the profile identified as the most challenging.

Current Positioning:

Current Easing + Moderate inflation + Slowdown is judged Neutral for BRK‑B: not the ideal Elevated/Stable match but better than Tightening/High inflation. Its historical Early Expansion quarterly return is strong (+5.659%/qtr), which supports the neutral-to-positive near-term view.

State-Dependent Behavior:

BRK‑B is state-dependent — performance shifts meaningfully across regimes (rate spread ≈0.90%/mo; inflation spread ≈0.98%/mo), so macro direction matters for incremental alpha.

Business Cycle Insights:

We are in Early Expansion, where Berkshire has historically delivered +5.659%/quarter (n=5). The company’s peak historical performance is in Late Expansion (+6.017%/qtr), while Mid Expansion has been weakest (+2.410%/qtr). That pattern suggests Berkshire compounds particularly well as growth accelerates toward cycle peak and when inflation is elevated but stable.

Comparative Analysis:

Within this single‑name universe, BRK‑B is moderately regime-sensitive: spreads near 0.9–1.0%/mo indicate meaningful macro optionality but not the dramatic swings of a cyclical consumer discretionary name. Compared with a defensive utility/consumer-staples profile, Berkshire offers more upside in favorable regimes (especially Elevated inflation) and slightly more drawdown/volatility in adverse regimes.

Scenario Analysis:

If the Fed continues to ease and CPI drifts toward the Elevated band (2–4%), expect a clearer tailwind: Elevated inflation historically correlates with +2.06%/mo for BRK‑B and lower volatility (4.14%). If, instead, macro re-tightens (rates rise) and inflation re-accelerates >4%, returns remain positive historically but volatility rises (High inflation volatility 6.31%) and the relative edge narrows toward the Tightening outcome (+0.72%/mo).

💡 Investor Takeaway:

Treat BRK‑B as a core, macro‑aware holding: it provides diversified upside in early-to-late expansion and when inflation is stable-to-elevated, but it is not immune to regime shifts. Position sizing should reflect your macro view — overweight if you expect continued easing and stable/elevated CPI; trim or hedge if you expect a tightening + high-inflation surprise that would raise volatility and compress relative returns.

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

BRK-B - Berkshire Hathaway Inc.

Best Environment
Stable rates + elevated + expansion
Worst Environment
Tightening rates + high inflation + slowdown
Current Environment
Neutral
Rate Regime Performance
Regime Months Avg Return Volatility % Positive
Stable 58 +1.62%/mo 5.11% 57%
Tightening 44 +0.72%/mo 4.87% 55%
Easing 26 +0.86%/mo 5.68% 54%

Performance spread (best - worst): 0.90%/mo

Business Cycle Performance
Phase Quarters Avg Quarterly Return
Early Expansion NOW 5 +5.7%/qtr
Mid Expansion 29 +2.4%/qtr
Late Expansion 5 +6.0%/qtr
Contraction 4 +2.8%/qtr
Key Regime Insights
  • Rate sensitivity: Performs best in Stable (+1.62%/mo), worst in Tightening (+0.72%/mo)
  • Inflation impact: Favors elevated environments
  • Cycle positioning: Historically strongest in Late Expansion

Analysis period: 2015-01 to 2026-02 | Quarters analyzed: 44

8E: Cross-Sectional & Peer Comparison

A peer comparison translates raw sensitivity coefficients into a relative map of how company fundamentals move when rates, inflation or GDP shift. Comparing companies against peers — not just absolute betas — reveals which business models are levered to macro winds (interest income, pricing power, cyclical demand) and which are insulated.

BRK-B

BRK-B rate sensitivity of +0.30 exceeds the peer average of +0.02, and inflation sensitivity of +0.14 likewise exceeds the peer average of -0.03; beta is 0.71 versus peer 0.98.

BRK-B shows a moderate positive rate sensitivity (+0.30 vs peer +0.02) and modest positive inflation sensitivity (+0.14 vs peer -0.03), while GDP sensitivity is flat (−0.02 vs peer +0.02). Its equity beta (0.71) and balance-sheet leverage (0.21) are well below the peer averages (0.98 and 0.61). These facts mean Berkshire’s fundamentals tend to tick up when rates or inflation rise, but its low beta and low leverage limit equity volatility and balance-sheet risk.

Why Different:

The positive rate and inflation coefficients are consistent with an investment-heavy insurance conglomerate: higher rates boost investment income on float, while diversified operating businesses retain pricing power that partially benefits from inflation. Low financial leverage and diversified cash-generating subsidiaries mute market beta.

Investment Implication:

In a rising-rate, rising-inflation regime BRK-B should see more fundamental upside than the typical financial peer (+0.30 and +0.14), but it will not amplify market moves like big banks; use BRK-B as a lower-volatility way to get rate/inflation exposure without the balance-sheet cyclicality of lenders.

JPM

JPM rate sensitivity of +0.63 far exceeds the peer average of +0.02 and inflation sensitivity of +0.35 exceeds peer -0.03; leverage is 1.38 versus peer 0.61.

JPM’s rate (+0.63) and inflation (+0.35) sensitivities are among the highest in the group, and its leverage (1.38) is materially above the peer average. Its beta (1.06) is also above the peer 0.98. This combination makes JPM highly exposed to the direction of rates and macro conditions.

Why Different:

Large commercial and consumer lending books mean net interest income rises when rates go up; higher operating leverage and balance-sheet leverage amplify that effect versus insurers and payments franchises.

Investment Implication:

If the next macro move is higher rates, JPM is likely to deliver stronger fundamentals than peers; conversely, its higher leverage and beta increase downside in stress — position size should reflect conviction in a sustained rate trajectory.

AIG

AIG rate sensitivity of -0.33 is well below the peer average of +0.02 and inflation sensitivity of -0.37 is also below peer -0.03; beta is 0.58 and leverage 0.22.

AIG shows moderately large negative sensitivities to both rates (−0.33) and inflation (−0.37) while maintaining low leverage (0.22) and lower beta (0.58). That pattern contrasts with banks and with BRK-B’s positive rate/inflation exposure.

Why Different:

Negative rate/inflation coefficients may reflect mark-to-market dynamics on long-duration assets or liability repricing that hurt reported fundamentals when rates and inflation surge — an insurance balance-sheet dynamic distinct from banks that profit from higher yields.

Investment Implication:

AIG is a candidate to underperform in a rising-rate, rising-inflation regime given these negative sensitivities; it may provide relative protection if the cycle reverses and rates fall.

BNT

BNT rate sensitivity of -0.48 and inflation sensitivity of -0.45 both sit well below the peer averages (+0.02 and -0.03), while GDP sensitivity is +0.25 and beta is 1.75.

BNT stands out for very negative rate and inflation sensitivities (−0.48 and −0.45) combined with strong positive GDP sensitivity (+0.25) and a high market beta (1.75). This is the most cyclically exposed profile in the sample.

Why Different:

The mix suggests a business where higher rates/inflation suppress demand or margins (hurting fundamentals) but economic growth lifts volumes or pricing — a high-beta, growth-sensitive business rather than a rate-sensitive lender.

Investment Implication:

BNT will likely lag in tightening episodes (rates/inflation rising) but could outperform in growth-led recoveries; treat it as a high-beta cyclical play rather than a macro hedge.

V

Visa (V) rate sensitivity +0.02 equals the peer average +0.02, inflation sensitivity +0.07 exceeds peer -0.03 slightly, and beta 0.79 is below peer 0.98.

Visa shows very low direct rate sensitivity (+0.02) and modest positive inflation sensitivity (+0.07), with near-zero GDP sensitivity (+0.00). Its beta (0.79) and leverage (0.55) are below peer averages, indicating lower cyclical balance-sheet exposure.

Why Different:

A payments network’s fundamentals derive primarily from transaction volumes and fees rather than interest-bearing assets or long-duration liabilities, so macro moves filter through consumption and volumes rather than balance-sheet revaluation.

Investment Implication:

Visa provides a macro-neutral, lower-beta way to access financials — limited direct benefit from higher rates but reliable exposure to consumer spending growth when GDP expands.

Comparative Summary:

Across the peer set, BRK-B sits in the middle: it is more rate- and inflation-sensitive than the peer average (+0.30 and +0.14 vs +0.02 and -0.03) but far less exposed than major banks (JPM +0.63, BAC +0.59). BRK-B’s low beta (0.71) and low leverage (0.21) distinguish it as a lower-volatility route to capture some upside from rising rates/inflation, whereas JPM/BAC are pure rate beneficiaries with higher balance-sheet risk and BNT/AIG show idiosyncratic negative rate/inflation exposures that make them behave differently in tightening cycles.

BRK-B vs Peers

Financial Services | 8 peers analyzed

Company Rate Sens. Inflation Sens. GDP Sens. Beta Leverage
BRK-B +0.30 +0.14 -0.02 0.71 0.21
JPM +0.63 +0.35 -0.06 1.06 1.38
SLF -0.01 -0.13 +0.01 0.80 0.90
AIG -0.33 -0.37 -0.01 0.58 0.22
BAC +0.59 +0.36 -0.03 1.26 1.21
BNT -0.48 -0.45 +0.25 1.75 0.31
V +0.02 +0.07 +0.00 0.79 0.55
PFG -0.05 -0.03 -0.08 0.88 0.35
ORI -0.16 -0.06 +0.08 0.75 0.00
Peer Average +0.02 -0.03 +0.02 0.98 0.61

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

Positioning vs Peers

BRK-B

Rate Sensitivity
More rate-sensitive than peers (+0.30 vs +0.02)
Inflation Sensitivity
More inflation-sensitive than peers (+0.14 vs -0.03)
GDP Sensitivity
In line with peers (-0.02 vs +0.02)
Beta
Lower beta than peers (0.71 vs 0.98)
Key Differentiators: less rate-sensitive than peers, more inflation-sensitive than peers, lower 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

8F: 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: 53
Macro Data Points: 41
  • Found 4 significant macro-fundamental relationships (|r| >= 0.25).

Timing matters because the calendar of macro transmission determines whether investors have time to reposition before earnings move, or whether fundamentals will surprise in the next reporting cycle. Knowing that Berkshire (BRK-B) typically reacts on multi-quarter horizons helps set trade timing, hedges and expectations for when macro shifts will show up in the P&L.

BRK-B

Berkshire Hathaway reacts to interest-rate moves within 2 quarters (corr +0.67), to GDP in ~3 quarters (corr +0.42), to unemployment in ~3 quarters with a negative relationship (corr -0.50), and to CPI after ~4 quarters (corr +0.42).

Rates hit fastest: peak response at 2Q with a strong positive correlation (+0.67) and a short half-life of ~2 quarters (transient), so rate-driven gains show up quickly but fade. GDP and unemployment both peak at 3Q (GDP corr +0.42, unemployment corr -0.50) with short persistence (half-life ~1Q), meaning economic growth or labor-market deterioration transmit to results with a roughly three-quarter delay and then attenuate. CPI is the slowest clear channel—peak at 4Q with a +0.42 correlation and an unknown half-life—suggesting inflation effects take about a year to fully feed through.

Business Driver:

Berkshire's diversified mix—insurance float and investment income, industrial businesses and services—creates these staggered lags: higher rates boost investment and float returns quickly (2Q), GDP-driven industrial demand shows up after production and order cycles (~3Q), and inflation influences replacement costs, pricing and contract adjustments on a longer cadence (~4Q). Rising unemployment depresses underwriting, consumer demand and industrial throughput with a multi-quarter delay.

Timing Implication:

For investors this means monetary-policy moves are actionable on a short horizon: rate hikes should lift Berkshire's investment-related earnings within about two quarters but may not persist, so favor tactical exposure around expected Fed moves. Because CPI and GDP effects take 3–4 quarters, investors have time to hedge or rotate before those channels fully hit earnings; monitor unemployment as a roughly three-quarter early-warning signal for earnings weakness.

Timing Comparison:

With 2–4 quarter lags across the board, BRK-B fits a classical mid-cycle profile—faster to interest-rate shocks, slower to inflation. There are no leading (negative) lags here: Berkshire does not typically pre-announce macro turns, so investors generally have a short runway (weeks-to-months) to reposition rather than needing immediate reaction.

Cycle Positioning:

BRK-B is classified as mid-cycle: moderate sensitivity and multi-quarter transmission gives investors a mid-length window to act—quicker for rate moves (2Q), slower for inflation (4Q) and GDP/unemployment (3Q).

Company Timing Profiles

Company Rate Lag CPI Lag GDP Lag Unemp Lag Cycle Position
BRK-B 2Q 4Q 3Q 3Q Mid-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).

BRK-B

RATES vs revenue_growth
SIGNIFICANT
Optimal Lag
2Q
Correlation at Optimal
0.670
Correlation at Lag 0
0.017
Relationship
Lagging
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.32 -0.17 -0.05 -0.05 -0.07 -0.05 0.02 0.31 0.67 0.41 0.19 0.01 -0.01

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

BRK-B shows strong positive correlation and responds 2 quarters after interest rate changes.

CPI vs revenue_growth
SIGNIFICANT
Optimal Lag
4Q
Correlation at Optimal
0.423
Correlation at Lag 0
-0.026
Relationship
Lagging
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.24 -0.34 -0.29 -0.19 -0.14 -0.11 -0.03 0.14 0.25 0.41 0.42 0.37 0.33

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

BRK-B shows strong positive correlation and responds 4 quarters after inflation changes.

GDP vs revenue_growth
SIGNIFICANT
Optimal Lag
3Q
Correlation at Optimal
0.425
Correlation at Lag 0
0.036
Relationship
Lagging
Show correlation at all 13 lags
Lag (Q) -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6
r -0.06 -0.20 -0.16 -0.20 -0.18 -0.25 0.04 0.16 0.19 0.42 0.20 0.23 0.28

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

BRK-B shows strong positive correlation and responds 3 quarters after GDP growth changes.

UNEMPLOYMENT vs revenue_growth
SIGNIFICANT
Optimal Lag
3Q
Correlation at Optimal
-0.498
Correlation at Lag 0
-0.061
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 0.16 0.15 0.16 0.19 0.08 -0.06 -0.17 -0.28 -0.50 -0.15 -0.13 -0.14

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

BRK-B shows strong negative correlation and responds 3 quarters after unemployment changes.

Response Persistence

How long macro impacts persist after initial response.

Company Macro Variable Peak Impact Half-Life Persistence
BRK-B RATES 2Q 2Q Transient
BRK-B CPI 4Q N/A Unknown
BRK-B GDP 3Q 1Q Transient
BRK-B UNEMPLOYMENT 3Q 1Q Transient
Methodology: Cross-correlation analysis at lags from -6 to 6 quarters. Minimum 12 observations required. Significance threshold: |r| > 0.25.

8G: 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

This section tests how company revenue growth responds to four macro scenarios—Baseline, Mild Stress (early-2022-like), Severe Stress (2008-like) and Rate Shock (2022-like)—using ridge-regression sensitivities from Section 8B. Impacts are calculated as Impact = Σ(sensitivity × scenario change) and reported with 95% CIs and a reliability score based on coefficient stability.

Scenarios are anchored to historical episodes: Mild = half of 2022 tightening, Severe = 2008 Global Financial Crisis, Rate Shock = full 2022 tightening cycle, Baseline = current conditions. This keeps assumptions grounded in observed macro moves (rates, CPI, GDP, unemployment) rather than arbitrary stress vectors.

BRK-B

Berkshire Hathaway shows small positive revenue-growth impacts across stresses (+0.09pp mild/rate-shock to +0.19pp severe) with a narrow absolute range (0.10pp) but low reliability.

Vulnerabilities:

Primary downside risk is a decline in interest rates: the rate coefficient is +0.082, so a 100bp fall in Fed funds would reduce BRK-B revenue growth by ~0.082pp (a 200bp fall → -0.16pp, which is exactly what appears in the severe scenario). Other flagged vulnerabilities (mortgage/consumer/GDP falling) are present in the metadata but GDP sensitivity is essentially zero (coef -0.003) while unemployment sensitivity is positive (0.058), so the driver story is mixed and counterintuitive—highlighting model instability.

Comparative Analysis:

Within the provided profile set BRK-B is effectively insulated—impacts cluster between +0.09pp and +0.19pp, an absolute range of only 0.10pp—making it one of the least sensitive names on this roster. That apparent resilience is driven by a positive rate coefficient (0.082) and a small-to-negligible GDP coefficient (-0.003), but low reliability flags mean other firms with more stable coefficients could actually be safer once more robust estimates are available.

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

BRK-B - Berkshire Hathaway Inc.

Impact Range: 0.1pp
Impact measured on: Revenue Growth (YoY)
Lowest Impact
+0.09pp
Rate Shock (2022-like)
Highest Impact
+0.19pp
Severe Stress (2008-like)
Values shown as percentage points vs. baseline scenario (current macro trajectory).
Primary Vulnerabilities
rates_falling mortgage_falling consumer_falling gdp_falling
Primary Strengths
rates_rising mortgage_rising consumer_rising gdp_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 +0.09pp (+0.0, +0.2) low Interest Rates (Fed Funds)
Severe Stress (2008-like) +0.19pp (+0.0, +0.4) low Unemployment Rate
Rate Shock (2022-like) +0.09pp (-0.0, +0.2) low Interest Rates (Fed Funds)
Shows resilience in stress scenarios (lowest Revenue Growth (YoY) impact: +0.1pp). Narrow outcome range across scenarios. Primary risks: rates_falling, mortgage_falling.
Data Quality: 1 companies analyzed | 4 scenarios | 0 with high-reliability estimates.
Analysis date: 2026-03-16 | Data as of: 2026-02-01

8H: Summary & Investment Implications

Under the current easing-rate, moderate-inflation backdrop (Fed funds 3.64%, CPI YoY 2.434%), Berkshire Hathaway (BRK-B) sits as a neutral-to-defensive macro exposure: moderate sensitivity to macro moves but high measured resilience in stress tests. Scenario estimates show small positive revenue responses in adverse scenarios, but model reliability is low across the board, so recommendations should be implemented with conviction limits and active monitoring.

Macro Profile At a Glance

Company Macro Sensitivity Regime Fit Stress Resilience Lowest Impact Key Risk
BRK-B
Berkshire Hathaway Inc.
Moderate Neutral High +0.09pp
Rate Shock (2022-like)
rates_falling
Lowest Impact = estimated Revenue Growth (YoY) change vs. baseline under most adverse stress scenario.

Company Macro Assessments

BRK-B

Berkshire has 'moderate' macro sensitivity, a neutral fit to today's easing regime and 'high' stress resilience—its revenue growth (YoY) was estimated to rise +0.09pp in a 2022-like rate shock and +0.19pp in a 2008-like severe stress. The firm’s documented key strength is when rates are rising, while its key risk is rates_falling; given the current easing environment (Fed funds 3.64%), BRK-B is a carry/defensive candidate rather than a pure cyclical beta play.

Investment Implications

Maintain neutral weight in core portfolios but consider a modest overweight for investors seeking resilience: BRK-B's revenue growth is projected to improve by +0.09pp to +0.19pp under tested stress scenarios, implying buffer-like qualities versus cyclical peers.

Avoid an aggressive growth-style overweight tied to an extended disinflation/rates-falling regime: the model flags 'rates_falling' as BRK-B’s key risk—if easing continues materially beyond current levels, reassess exposure.

If macro data or market pricing shifts toward materially higher rates (e.g., Fed funds priced >100bp above today’s 3.64%), consider increasing exposure: BRK-B’s key strength is in rates_rising environments, which historically supports insurance and financial components of its franchise.

Trading Considerations

Watch Fed trajectory and market-implied Fed funds moves: a sustained rerating of >25–50bp in market-implied terminal funds within a month should be treated as a trigger window to reweight toward BRK-B.

Monitor CPI prints and core inflation: CPI YoY moving back above ~3.0% would signal a regime tilt that benefits BRK-B’s rate-sensitive strengths; similarly, CPI falling below ~1.5% would be a cautionary timing signal for underperformance.

Follow quarterly revenue/earnings revisions and conglomerate-specific metrics (insurance float trends, investment income): given the firm’s conglomerate structure, earnings/revision surprises tend to lead macro-driven stock moves by 1–2 quarters.

Risk Watchlist

Rates-falling scenario: if market-implied Fed funds fall >100bp from current 3.64% or the Fed signals prolonged easing, treat this as a material negative and re-evaluate—model lists 'rates_falling' as BRK-B's key risk.

Disinflation shock: CPI YoY dropping below ~1.5% would warrant reassessment of BRK-B’s revenue outlook and could reduce its relative resilience advantage.

Model reliability caveat: our cross-sectional estimates lack stable/regression-backed reliability (0 companies with stable regressions, 0 with reliable estimates); stress-impact point estimates (+0.09pp to +0.19pp) should be used as directional guides, not precise forecasts.

Key Takeaways

  1. Under easing and moderate inflation (Fed funds 3.64%, CPI YoY 2.434%), BRK-B is neutral-to-modestly defensive—moderate sensitivity but high stress resilience.
  2. Stress tests show small positive revenue effects (+0.09pp to +0.19pp), implying BRK-B can act as a macro shock buffer relative to cyclical names.
  3. Primary vulnerability is continued rate declines—'rates_falling' is the key risk that would flip the thesis.
  4. If market pricing shifts toward higher terminal rates (>~100bp above current), BRK-B becomes a clearer overweight candidate given its strength when rates rise.
  5. All quantitative scenario outputs have low cross-sectional reliability; treat numbers as directional and monitor Fed/CPI and earnings revisions closely for timely reassessment.