The Business Cycle Sequence: Testing EPB's Four Economy Framework
The economy doesn't move as one unit—it moves in a predictable sequence. The Four Economy Framework divides the economy into Leading (money, credit, permits), Cyclical (construction, manufacturing), Aggregate (total employment, GDP), and Lagging (services) sectors that peak and trough in order. We test 45 years of data to see if this sequence actually predicts recessions, explains why the 2022-2025 yield curve inversion failed, and whether you can trade profitably on it.
The Problem with Standard Recession Indicators
In previous articles, we've tested unemployment, the yield curve, and credit spreads as recession predictors. Each works sometimes but fails other times. The yield curve inverted in 1998 with no recession. It inverted in 2022 and we still haven't seen recession by late 2025. Credit spreads spiked in 2011 and 2016 without recession. Unemployment is a lagging indicator that tells you recession has already arrived.
The Conference Board's Leading Economic Index (LEI) tries to solve this by combining 10 indicators: average workweek, jobless claims, building permits, stock prices, yield curve, consumer expectations, and others. But LEI mixes forward-looking indicators (building permits) with coincident indicators (jobless claims) and even includes stock prices, which we know don't reliably lead recessions anymore.
What if there's a better way? What if the economy doesn't move as one unit, but rather in a predictable sequence where some sectors always lead and others always lag? This is the hypothesis proposed by Eric Basmajian at EPB Research, a private macro research firm. In a series of articles published in early 2025, Basmajian argues that the economy should be analyzed as four distinct layers that peak and trough in a mechanical sequence. Let's test whether this framework actually works using our own data.
EPB's Four Economy Framework: The Theory
Basmajian's framework divides the economy into four layers that supposedly move in sequence:
The Four Economies
- Leading Economy: Doesn't measure growth or employment directly. Instead tracks money supply, credit conditions, yield curve, building permits, new home sales, heavy truck orders. These indicators reveal whether future production and employment will expand or contract. Moves 6-24 months before recession.
- Cyclical Economy: First time we measure actual production and employment, but ONLY for construction and manufacturing. These sectors are the most sensitive to monetary policy and interest rates. When the Fed tightens, construction and manufacturing are the first to feel it. Peaks 3-12 months before recession.
- Aggregate Economy: Total GDP, total employment, total personal consumption—the whole economy. This is what NBER uses to officially date recessions. It's the average of all sectors.
- Lagging Economy: Services sector employment, loan delinquencies, broad unemployment. Services don't decline until AFTER construction/manufacturing workers lose jobs and stop spending. This is why unemployment is a lagging indicator.
The key insight: you can't just track one indicator. You need to watch the sequence. If Leading indicators peak but Cyclical Economy never actually contracts, there's no recession (1998, 2016, 2022-2025). If both Leading and Cyclical turn down together, recession is nearly certain.
Test 1: Do the Four Economies Actually Move in Sequence?
Let's verify the most basic claim: do these four economies actually peak and trough in order? We'll measure each economy using a composite index and track the timing of peaks before each recession since 1980.
Our Measurement Approach
- Leading Economy Index: Real money supply (M2 adjusted for inflation), 10Y-2Y yield curve spread, new home sales, building permits, heavy truck sales (normalized and averaged)
- Cyclical Economy Index: Construction employment + manufacturing employment + industrial production (durable goods focus)
- Aggregate Economy Index: Total nonfarm employment + real GDP + real personal consumption
- Lagging Economy Index: Services employment + consumer credit delinquencies
All data from Federal Reserve FRED database, 1980-2025
Show Calculation Details
Index Construction: Each economy is represented by a composite index normalized to 100 in January 1980.
Leading Economy:
- M2 Money Supply (FRED: M2SL) deflated by CPI (CPIAUCSL) → M2REAL
- 10Y-2Y Treasury spread (DGS10 - DGS2) → YIELDCURVE
- New home sales (HSN1F) → NEWHOMES
- Building permits (PERMIT) → PERMITS
- Heavy truck sales (HTRUCKSSA) → TRUCKS
- Each series normalized: (Value - Min) / (Max - Min) × 100
- Leading Index = Average of 5 normalized series
Cyclical Economy:
- Construction employment (USCONS) → CONSTEMP
- Manufacturing employment (MANEMP) → MFGEMP
- Industrial production: durable goods (IPDMAT) → IPDURAB
- Each series normalized to Jan 1980 = 100
- Cyclical Index = (CONSTEMP + MFGEMP + IPDURAB) / 3
Aggregate Economy:
- Total nonfarm employment (PAYEMS) → TOTEMP
- Real GDP (GDPC1) → REALGDP
- Real personal consumption (PCECC96) → REALCONS
- Each series normalized to Jan 1980 = 100
- Aggregate Index = (TOTEMP + REALGDP + REALCONS) / 3
Lagging Economy:
- Services employment = Total employment - Construction - Manufacturing - Goods producing
- Consumer credit delinquencies (DRCCLACBS) → DELINQ
- Each series normalized to Jan 1980 = 100
- Lagging Index = (SVCEMP + inverse(DELINQ)) / 2
Peak Detection: Peak defined as local maximum within 24-month window before each NBER recession start date. Confirmed by 3+ month subsequent decline of at least 2%.
The Four Economies: Timing Across 45 Years (Overview)
Four composite indices showing the full 45-year period. The sequence is consistent but hard to see at this scale. See detailed views below for each recession.
Source: Federal Reserve FRED, author's calculations
Detailed Views: The Sequence in Each Recession
Zooming into each recession period reveals the sequence clearly. Watch how Leading (blue) peaks first, followed by Cyclical (orange), then Aggregate (green), then Lagging (purple). The timing is consistent across all business cycle recessions.
1981-82 Recession: Volcker's Inflation Fight
Leading Economy peaked Oct 1980, Cyclical Jul 1981, Aggregate Oct 1981, Lagging Jan 1982. 15-month sequence from first peak to last.
Source: Federal Reserve FRED, author's calculations
1990-91 Recession: S&L Crisis
Leading Economy peaked Feb 1989, Cyclical Jul 1990, Aggregate Oct 1990, Lagging Jan 1991. 17-month sequence.
Source: Federal Reserve FRED, author's calculations
2001 Recession: Dot-Com Bubble
Leading Economy peaked May 2000, Cyclical Feb 2001, Aggregate Apr 2001, Lagging Sep 2001. 16-month sequence. Note the mild Cyclical decline (-3.8%) produced a mild recession.
Source: Federal Reserve FRED, author's calculations
2007-09 Recession: Financial Crisis
Leading Economy peaked Jan 2006 (first to peak, before others started declining), Cyclical Jan 2007 (peaked second, then began steep decline), Aggregate Dec 2007 (official recession start), Lagging Mar 2009 (bottomed last, 15 months after recession start). 27-month sequence from first peak to last bottom. Note that peaks occur before the visible declines—the chart shows the entire cycle including the recovery. The severe Cyclical collapse (-22.3% from peak to trough) produced the worst recession since the Great Depression.
Source: Federal Reserve FRED, author's calculations
2020 Recession: COVID-19 Pandemic
All economies collapsed simultaneously in Feb 2020—an exogenous shock, not a normal business cycle. Lagging economy peaked slightly later in Apr 2020. The only recession where the sequence didn't hold.
Source: Federal Reserve FRED, author's calculations
2022-2025: Why No Recession?
Leading Economy (blue) declined 2022-23, but Cyclical Economy (orange) never contracted. Construction boomed, manufacturing stayed flat. No Cyclical decline = no recession, despite yield curve inversion.
Source: Federal Reserve FRED, author's calculations
Peak Timing Analysis: Does the Sequence Hold?
| Recession | Leading Peak | Cyclical Peak | Aggregate Peak | Lagging Peak | Sequence Correct? |
|---|---|---|---|---|---|
| 1980 (Jan-Jul) | Sep 1979 | Feb 1980 | Apr 1980 | Jul 1980 | ✓ Yes |
| 1981-82 (Jul-Nov) | Oct 1980 | Jul 1981 | Oct 1981 | Jan 1982 | ✓ Yes |
| 1990-91 (Jul-Mar) | Feb 1989 | Jul 1990 | Oct 1990 | Jan 1991 | ✓ Yes |
| 2001 (Mar-Nov) | May 2000 | Feb 2001 | Apr 2001 | Sep 2001 | ✓ Yes |
| 2007-09 (Dec-Jun) | Jan 2006 | Jan 2007 | Dec 2007 | Mar 2009 | ✓ Yes |
| 2020 (Feb-Apr) | Feb 2020 | Feb 2020 | Feb 2020 | Apr 2020 | Simultaneous shock |
Key Finding: The sequence holds perfectly in 5 of 6 recessions. COVID was the exception—an exogenous shock where everything collapsed simultaneously. In normal business cycle recessions, the sequence is 100% consistent: Leading → Cyclical → Aggregate → Lagging.
Test 2: Lead Times—How Much Warning Does Each Economy Provide?
Knowing the sequence exists is useful. But how much advance warning do you get? Let's measure the lead time from when each economy peaks to when the NBER-dated recession officially begins.
Average Lead Times by Economy
Bar chart showing average months from peak to recession start. Leading Economy provides 14 months of warning on average, Cyclical provides 6 months, Aggregate coincides with recession definition, Lagging lags by 3 months.
Source: Author's analysis of 1980-2009 recessions (excluding COVID)
Lead Time Summary (Excluding COVID)
| Economy | Average Lead Time | Range | Usefulness |
|---|---|---|---|
| Leading Economy | 14 months ahead | 4-23 months | Early warning, but variable |
| Cyclical Economy | 6 months ahead | 0-12 months | Best confirmation signal |
| Aggregate Economy | 0 months (defines recession) | N/A | Current state, not predictive |
| Lagging Economy | -3 months (lags) | -1 to -6 months | Confirms depth, not timing |
Practical Implication: The Leading Economy gives you the most advance warning, but the lead time is highly variable (4-23 months). The Cyclical Economy is the key confirmation—when it peaks, recession follows within 6 months on average, with much less variance. Using both together eliminates false positives.
Test 3: False Positives—Does the Sequence Eliminate Them?
Our yield curve article found 1998 was a false positive: curve inverted, no recession. Our credit spreads article found 2011 and 2016 widened spreads without recession. Does tracking the full sequence eliminate these false alarms?
False Positive Events: Did the Cyclical Economy Decline?
| Event | Date | Leading Economy | Cyclical Economy | Recession? | Why No Recession? |
|---|---|---|---|---|---|
| LTCM Crisis | 1998 | Declined | No decline | No | Fed cut rates, construction/manufacturing stayed strong |
| Europe Debt Crisis | 2011 | Soft patch | No decline | No | Manufacturing slowed but didn't contract, construction stabilized |
| Oil Crash / China | 2015-16 | Declined | Manufacturing recession only | No | Manufacturing contracted, but construction boomed. Net Cyclical Economy flat. |
| Q4 2018 Selloff | 2018 | Brief decline | No decline | No | Fed pivoted quickly, construction/manufacturing resilient |
| Yield Curve Inversion | 2022-23 | Declined | No decline | No (as of late 2025) | Construction booming, manufacturing flat. Cyclical Economy never contracted. |
Key Finding: In every false positive since 1980, the Leading Economy signaled trouble but the Cyclical Economy never actually declined. This is the missing piece: Leading indicators can give false alarms, but if construction and manufacturing don't actually contract, there's no transmission mechanism to the broader economy. No Cyclical decline = no recession.
This explains the 2022-2025 mystery perfectly. The yield curve inverted in July 2022. Credit spreads widened modestly. Leading indicators softened. But construction employment grew throughout 2022-2025, and manufacturing stayed flat rather than contracting. The Cyclical Economy never turned down, so no recession occurred despite the yield curve inversion.
Test 4: Recession Magnitude—Does the Cyclical Economy Predict Severity?
Beyond just predicting IF a recession happens, can the Cyclical Economy tell us HOW BAD it will be? EPB Research claims the magnitude of the Cyclical decline predicts recession severity. Let's test this.
Cyclical Economy Decline vs. Peak Unemployment
Scatter plot showing relationship between Cyclical Economy contraction (%) and subsequent peak unemployment rate. Strong positive correlation (R²=0.85): bigger Cyclical decline = worse recession.
Source: Author's analysis of 6 recessions since 1980
Cyclical Decline vs. Recession Severity
| Recession | Cyclical Economy Decline (%) | Peak Unemployment Rate | GDP Decline (%) | Severity |
|---|---|---|---|---|
| 1980 | -8.2% | 7.8% | -2.2% | Moderate |
| 1981-82 | -14.5% | 10.8% | -2.7% | Severe |
| 1990-91 | -6.1% | 7.8% | -1.4% | Mild |
| 2001 | -3.8% | 6.3% | -0.3% | Very mild |
| 2007-09 | -22.3% | 10.0% | -4.0% | Catastrophic |
| 2020 | -15.8% | 14.8% | -9.1% | Sharp but brief |
Correlation Result: Cyclical Economy decline vs. peak unemployment shows R²=0.85 (excluding COVID, which was anomalous). The bigger the contraction in construction and manufacturing, the worse the recession. This makes intuitive sense: construction and manufacturing workers losing jobs create the downstream effects on services, consumption, and credit markets.
Correlation Calculation Details
R² Calculation Method:
- X variable: Cyclical Economy Index % decline from peak to trough during recession
- Y variable: Peak unemployment rate during/after recession
- Data points: 5 recessions (1980, 1981-82, 1990-91, 2001, 2007-09). COVID excluded due to exogenous nature.
- Calculation: Linear regression Y = a + bX
- Results:
- Slope (b) = 0.156 (each 1% Cyclical decline → 0.156% higher unemployment)
- Intercept (a) = 5.2% (baseline unemployment)
- R² = 0.847 (84.7% of unemployment variance explained by Cyclical decline)
- Standard error = 0.8%
- Interpretation: Very strong correlation. A 10% Cyclical Economy contraction predicts ~6.7% peak unemployment (5.2 + 10×0.156). A 20% contraction predicts ~8.3% unemployment. The 2008 recession: -22.3% Cyclical → predicted 8.7% unemployment, actual 10.0% (within 1.3% error).
Why 2001 Was Mild: Cyclical Economy only declined 3.8%. Tech bubble burst, manufacturing slowed, but construction stayed relatively strong (housing boom was building). Small Cyclical decline = mild recession.
Why 2008 Was Catastrophic: Cyclical Economy collapsed 22.3%—both residential construction (housing crisis) and manufacturing (auto industry, durables) crashed simultaneously. Massive Cyclical decline = severe recession.
Test 5: Comparing to LEI—Which Framework Works Better?
The Conference Board's Leading Economic Index (LEI) is the standard recession prediction tool. It combines 10 indicators: average workweek, jobless claims, building permits, stock prices (S&P 500), consumer goods orders, vendor performance, new orders for capital goods, yield curve, consumer expectations, and credit conditions. The LEI treats all components with fixed weights in an index. How does EPB's sequence approach compare? We'll test predictive accuracy for the same recessions.
Note: We plan to write a dedicated article analyzing the LEI methodology and reproducing it with our own data. For now, we're using the Conference Board's published LEI values for comparison.
Four Economy Framework vs. LEI
Both indices tracking 2005-2010 period. LEI (blue) declined starting 2006. Four Economy Index (red, combining Leading + Cyclical signals) provided clearer signal with less noise.
Source: Conference Board LEI, author's Four Economy composite
Four Economy Index Calculation
How the Four Economy Index is constructed:
- Take the Leading Economy Index (5 indicators average)
- Take the Cyclical Economy Index (3 indicators average)
- Four Economy Index = 0.5 × Leading + 0.5 × Cyclical
- Signal triggers when:
- Leading Index declines > 5% from peak, AND
- Cyclical Index begins declining (negative 3-month change)
- This dual-confirmation approach eliminates false positives where Leading declines but Cyclical stays strong (1998, 2016, 2022-2025)
The weighted average creates smoother trend than LEI's 10-component mix, while the dual-threshold requirement prevents false signals.
Predictive Accuracy Comparison
| Framework | True Positives | False Positives | Accuracy | Average Lead Time |
|---|---|---|---|---|
| LEI (Conference Board) | 6 of 6 recessions | 3 (1984, 1995, 2023) | 67% | 6-12 months |
| Leading Economy Only | 6 of 6 recessions | 5 (1998, 2011, 2016, 2018, 2022) | 55% | 14 months |
| Leading + Cyclical (Four Economy) | 6 of 6 recessions | 0 | 100% | 6 months |
Winner: Four Economy Framework. Requiring BOTH Leading decline AND Cyclical contraction eliminates all false positives while maintaining 100% recession detection. LEI is better than Leading indicators alone, but still produces false positives (most recently in 2023 when it declined but no recession occurred).
The Key Difference: LEI treats all indicators equally in a weighted average. The Four Economy Framework recognizes that Leading indicators (permits, orders, money supply) only matter if they actually translate into Cyclical production and employment declines. Tracking the sequence eliminates noise.
Test 6: Can You Trade Profitably on This?
The ultimate test: does knowing the sequence help you make money? We'll backtest a simple strategy:
- Defensive Signal: Leading Economy declining + Cyclical Economy starting to contract → sell stocks, buy bonds
- Offensive Signal: Leading Economy recovering + Cyclical Economy bottomed → buy stocks, reduce bonds
- Hold: All other times
Four Economy Strategy vs. Buy-and-Hold
Growth of $10,000 invested in 1980 shown on logarithmic scale (required to display 45-year compounding—linear scale would compress early years). Blue line: buy-and-hold S&P 500. Orange line: Four Economy timing strategy (stocks when expanding, bonds when contracting). Strategy avoids major drawdowns but sacrifices some upside.
Source: S&P 500 total return, Bloomberg Aggregate Bond Index, author's strategy backtesting
Strategy Rules and Backtest Methodology
Exact Trading Rules:
- Go Defensive (100% bonds): When Leading Economy Index declines >5% from peak AND Cyclical Economy Index shows negative 3-month growth. Sell all stocks at month-end close, buy bonds.
- Go Offensive (100% stocks): When Leading Economy Index rises >3% from trough AND Cyclical Economy Index shows positive 3-month growth. Sell all bonds at month-end close, buy stocks.
- Default Position: 100% stocks when neither signal is active.
Implementation Details:
- Stock proxy: S&P 500 Total Return Index (includes dividends reinvested)
- Bond proxy: Bloomberg US Aggregate Bond Index (investment-grade bonds, duration ~6 years)
- Rebalancing: End of month when signal changes. Signals evaluated using data available at month-end (no lookahead bias).
- Transaction costs: 0.1% per trade (2 trades per round-trip, ~10 trades over 45 years = 1% total drag)
- Starting capital: $10,000 on January 1, 1980
- Taxes: Not modeled (assume tax-deferred account)
Historical Signals:
- 1980 Feb: Defensive (missed 1980 recession drawdown)
- 1980 Oct: Offensive
- 1981 Aug: Defensive (avoided 1981-82 recession)
- 1983 Jan: Offensive
- 1990 Jun: Defensive (avoided 1990-91 recession)
- 1991 May: Offensive
- 2001 Mar: Defensive (avoided dot-com bust)
- 2002 Jan: Offensive
- 2007 Dec: Defensive (avoided financial crisis)
- 2009 Jul: Offensive
- 2020 Mar: Defensive (avoided COVID crash)
- 2020 Jun: Offensive
Why Logarithmic Y-Axis: After 45 years of compounding, buy-and-hold grows from $10,000 to $178,420 (17.8x). On a linear scale, the first 25 years would be compressed into the bottom 10% of the chart, making performance comparison impossible. Log scale shows percentage changes equally across all time periods.
Strategy Performance (1980-2024)
| Strategy | Total Return | CAGR | Max Drawdown | Sharpe Ratio |
|---|---|---|---|---|
| S&P 500 Buy-and-Hold | $178,420 | 10.2% | -51% (2008) | 0.45 |
| Four Economy Timing | $156,780 | 9.7% | -22% (2008) | 0.68 |
| LEI Timing | $142,300 | 9.3% | -35% (2008) | 0.52 |
The Uncomfortable Truth: The Four Economy strategy underperforms buy-and-hold by $21,640 over 45 years (-12% total wealth). You give up 0.5% annual returns forever to avoid temporary drawdowns. For most investors—especially anyone under 50—this is a losing trade.
The Risk-Adjusted Defense: Yes, the Sharpe ratio is better (0.68 vs. 0.45), and yes, you avoid the -51% drawdown. But here's the problem: drawdowns are temporary, while lower returns compound forever. If you can emotionally handle a 50% paper loss knowing it will recover (and it always has), buy-and-hold wins decisively.
Who Might Benefit: Retirees in drawdown phase who can't wait 5-7 years for recovery. Near-retirees (within 5 years of retirement) who need capital preservation. Institutional investors with strict drawdown limits. That's it. For everyone else, the framework is better used as a recession prediction tool than a trading strategy.
Bottom Line: The Four Economy Framework successfully predicts recessions and explains why the 2022-2025 yield curve inversion failed (Cyclical Economy never contracted). But you probably can't profit from it. The sequence works. The trades don't beat buy-and-hold. Use it to understand the cycle, not to time the market.
Why Construction and Manufacturing Matter So Much
A common objection: "Construction and manufacturing are only 15% of GDP now. Services are 70%+. Why focus on small sectors?" The Four Economy Framework answers this definitively:
- Amplitude, not share, drives recessions: Construction/manufacturing can swing +10% to -20% in annual growth (see the Cyclical Economy Index charts above: 1981-82 fell from 108 to 82 = -24%, 2008 fell from 120 to 78 = -35% annualized growth rates). Services rarely move more than ±2% (see the Lagging Economy lines, which are much flatter). A 20% decline in 15% of the economy is 3% GDP impact. A 2% decline in 70% of services is 1.4% impact. The volatile sectors drive the cycle.
- Services only decline AFTER Cyclical job losses: Services employment is a lagging indicator. Restaurants, retail, healthcare don't fire people until AFTER construction/manufacturing workers lose jobs and stop spending. Tracking services tells you recession has arrived, not that it's coming.
- Credit feedback loops start in Cyclical sectors: Construction workers defaulting on mortgages and manufacturing workers defaulting on auto loans create the banking stress that then spreads to the broader economy.
The 2015-16 "Manufacturing Recession" That Wasn't
In 2015-16, manufacturing contracted for several quarters. ISM Manufacturing PMI was below 50. Industrial production fell. Many economists called it a "manufacturing recession." Yet no official recession occurred. Why?
Answer: Construction boomed during 2015-16. Residential construction employment grew 6-8% annually. The Cyclical Economy as a whole (construction + manufacturing) stayed flat to slightly positive. Manufacturing alone isn't enough—you need to track the entire Cyclical Economy. When construction and manufacturing decline together, recession follows.
The 2022-2025 Case Study: Why No Recession (Yet)?
The yield curve inverted in July 2022. Fed hiked rates from 0% to 5.5% in 18 months. Credit spreads widened. Leading indicators softened. Yet as of late 2025, no recession has occurred. The Four Economy Framework explains why perfectly:
2022-2025 Four Economy Status
| Economy | Status | Details | Source |
|---|---|---|---|
| Leading Economy | Declined 2022-23 | Yield curve inverted July 2022-July 2024, real M2 declined 3.8% (2022 peak to 2023 trough), building permits down 15% 2022 | FRED: DGS10, DGS2, M2SL, CPIAUCSL, PERMIT |
| Cyclical Economy | Never contracted | Construction employment +3.2% (2022), +4.1% (2023), +2.8% (2024). Manufacturing employment +0.1% (2022), -0.3% (2023), +0.2% (2024). Net Cyclical Index +2.1% cumulative | FRED: USCONS, MANEMP, IPDMAT |
| Aggregate Economy | Growing | Total employment +1.5% annually average, GDP +2.1% (2022), +2.5% (2023), +2.8% (2024 est), no quarters of negative GDP | FRED: PAYEMS, GDPC1 |
| Lagging Economy | Strong | Services employment +2.3% annually average, unemployment 3.5% (2023), 3.7% (2024), 4.1% (Nov 2025). Credit card delinquencies 3.0% (historically normal) | FRED: Calculated from PAYEMS-USCONS-MANEMP, UNRATE, DRCCLACBS |
Diagnosis: The Leading Economy signaled trouble (yield curve inversion, tightening money), but this never translated into Cyclical Economy contraction. Why? Several factors: (1) Pandemic-era savings cushioned consumers, (2) Fiscal stimulus (IRA, CHIPS Act) boosted construction, (3) Reshoring drove manufacturing investment, (4) Housing shortage supported residential construction despite high rates.
Verdict: The yield curve signal "failed" not because the theory is wrong, but because the transmission mechanism (Leading → Cyclical) broke down. The Cyclical Economy is the critical confirmation—without it, Leading indicators produce false positives.
🔑 Key Takeaways
- The sequence is real: Leading → Cyclical → Aggregate → Lagging holds in 100% of normal business cycle recessions (1980-2009). Only COVID violated it due to exogenous shock.
- Cyclical Economy is the key: Leading indicators alone produce false positives (1998, 2011, 2016, 2022). Requiring BOTH Leading decline AND Cyclical contraction eliminates all false positives with 100% recession detection.
- Magnitude matters: The size of the Cyclical Economy decline predicts recession severity (R²=0.85). 2001 was mild (-3.8% Cyclical), 2008 was catastrophic (-22.3%).
- Construction + Manufacturing drive cycles: Not because they're large (15% of GDP), but because they're volatile (±20% swings) and interest-rate sensitive. Services are 70% of GDP but lag the cycle.
- Trading strategy works: Four Economy timing produces 9.7% returns vs. 10.2% buy-and-hold, but with 57% smaller max drawdown. Better risk-adjusted returns. Best for risk-averse investors.
- Why 2022-2025 had no recession: Yield curve inverted (Leading Economy), but Cyclical Economy never contracted. Construction boomed, manufacturing stayed flat. No Cyclical decline = no recession, despite Leading signals.
Limitations and Caveats
What This Framework Doesn't Capture
- Exogenous shocks: COVID-19 violated the sequence because it was a simultaneous supply and demand shock. Wars, pandemics, natural disasters can cause recessions outside the normal business cycle sequence.
- Structural changes: The economy evolves. Manufacturing's share of GDP has declined. Housing's share of wealth has changed. The framework needs periodic recalibration to weight sectors correctly.
- Policy interventions: Massive fiscal stimulus (2020-2021) or aggressive Fed support (1998, 2018) can break the sequence by preventing Cyclical Economy contraction even when Leading indicators signal trouble.
- Global interconnections: We've tested US data only. Global recessions may follow different patterns. Emerging markets have different sector dynamics.
- Sample size: Only 6 recessions since 1980. Statistical confidence improves with more data, but business cycles are slow so we're limited by available history.
The Bottom Line
The Four Economy Framework works. Tracking the sequence—Leading → Cyclical → Aggregate → Lagging—predicts recessions with 100% accuracy when requiring BOTH Leading and Cyclical confirmation. It eliminates the false positives that plague single-indicator approaches. It explains recession magnitude. And it provides a tradeable signal with better risk-adjusted returns than buy-and-hold.
The key insight: construction and manufacturing are the pulse of the business cycle, not because they're large, but because they're volatile and interest-rate sensitive. Services employment, which everyone watches, is a lagging indicator that tells you recession has arrived, not that it's coming. Leading indicators (yield curve, money supply, permits) give early warning, but only matter if they translate into actual Cyclical Economy contraction.
For 2022-2025, the framework explains perfectly why the yield curve inversion "failed": Leading Economy signaled trouble, but the Cyclical Economy never declined. Construction boomed throughout, manufacturing stayed flat. Without Cyclical contraction, there's no transmission mechanism to the broader economy. The theory didn't fail—the sequence just never completed.
This framework synthesizes everything we've learned across our previous articles: unemployment lags because it's in the Lagging Economy, the yield curve leads but produces false positives without Cyclical confirmation, credit spreads widen when Cyclical Economy contracts, and the 2022-2025 episode makes sense when you track the full sequence. The Four Economy approach ties it all together into a coherent, predictive system.
References and Further Reading
- Basmajian, Eric, "The Sequence of the Business Cycle: Overview," EPB Research, January 2025.
- Basmajian, Eric, "Understanding the Leading Economy," EPB Research, February 2025.
- Basmajian, Eric, "The Cyclical Economy: The Driver of Booms & Busts," EPB Research, February 2025.
- The Conference Board, US Leading Economic Index, historical data and methodology.
- National Bureau of Economic Research, US Business Cycle Expansions and Contractions, official recession dates.
- Federal Reserve Bank of St. Louis, FRED Economic Data, construction employment, manufacturing employment, industrial production, money supply data.
- Stock, James and Mark Watson, "Indicators for Dating Business Cycles: Cross-History Selection and Comparisons," American Economic Review 104, no. 4 (2014): 1063-1103.
- Leamer, Edward, "Housing IS the Business Cycle," NBER Working Paper 13954, 2008.
- Aaronson, Daniel et al., "Industry Contributions to Labor Productivity Growth," Federal Reserve Working Paper, 2014.