Business Cycles Ends With Recessions

Executive summary

• Business-cycle risk is the dominant macro threat: recessions end cycles, and markets usually price in recessions before official announcements. The presenter judges we are in a late business-cycle phase with at most ~2–3 years remaining (possibly shorter).
• Normalizing equity-driven macro indicators by money supply (M2) helps make the late-cycle signal from excess liquidity since 2020 more apparent.
• Practical playbooks and a custom late-cycle indicator are provided to help time risk reductions, hedges, and opportunistic buying.

Core thesis

• The business cycle typically ends via recessions; markets tend to lead headlines and official recession calls.
• We are in a late-cycle environment (author estimate: maximum ~2–3 years left).
• Adjusting equity/market indicators by M2 clarifies the late-cycle signal that excess liquidity since 2020 has been masking.

Frameworks and playbooks

Custom late-cycle macro indicator

• Formula (conceptual): SPX ÷ (Unemployment Rate^2) × Fed funds rate × YoY CPI, then normalized by M2.
• Purpose:
  • Amplify unemployment moves (squared term).
  • Include monetary policy (Fed funds) and inflation.
  • Adjust for post-2020 money-supply expansion (M2 normalization).

Negative-feedback-loop model for recessions

• Trigger sequence:
  • Falling asset prices → corporate cost cuts → layoffs → weaker hiring/job openings → lower consumer spending → lower corporate revenue → more layoffs.
• Nonlinear phase: a rapid rise in unemployment can accelerate market declines and force a faster downturn.

Market-risk sequencing (risk-management playbook)

• Typical bleed order: altcoins → Bitcoin → equities → cyclical sectors (energy and precious metals tend to be last).
• Timing pattern: a midterm-year “window of weakness” (roughly March–October), with depth often April–June.

Tactical posture guidance

• Don’t wait for official recession declarations — markets typically bottom before the announcement.
• Maintain selective positioning in late-cycle environments: hedge where appropriate and hold cash (dry powder) for opportunistic buys when cycles reset.

Key metrics, KPIs, thresholds, targets, and timing

• Custom macro metric: SPX / UR^2 × FFR × YoY CPI, then ÷ M2 — used to identify late-cycle extremes.
• Labor market:
  • Initial jobless claims: currently ~206,000. Presenter’s “not recession territory” threshold: <300,000.
  • Hires and job openings: hiring described as “abysmal”; job openings have collapsed since 2022 highs (hires roughly comparable to 2017 levels).
• Historical timing stat: average S&P bottom occurs ~15 days before an official recession declaration (markets lead).
• Business-cycle timing:
  • Midterm-year window of weakness: begins around March, historically deepest April–June (higher risk of drawdowns).
  • Presenter’s estimate: recession likely within 0–3 years (often stated as “max 2–3 years”).
• Crypto timing:
  • Bitcoin’s four-year cycle may already price in late-cycle weakness; altcoins typically decline first.
• Sector behavior:
  • Energy (XLE) often tops later and can be one of the last sectors to correct — tends to hold until recession-driven demand falls.

Historical examples and case studies

• 2000: metric and SPX aligned and topped around March; followed by a hard landing.
• 2006–2008: metric peaked in 2006 while SPX continued higher for a period before the 2008 collapse.
• 1990: ~20% drop characterized as a “soft landing” relative to deeper recessions.
• 2020 pandemic: extreme money printing produced a V-shaped recovery — an outlier for cycle analysis.
• Repeated observed pattern: altcoins bleed first → Bitcoin → equities → energy/precious metals last.

Actionable recommendations

Portfolio / corporate treasury posture

• Be proactive; reduce cyclical exposure before recession announcements.
• Maintain dry powder (cash) heading into expected windows of weakness to buy opportunistically.
• Use selective hedges; reduce exposure to high-beta assets (altcoins, speculative tech) and consider protective positions.

Sector and strategy tilts

• Avoid or underweight high-risk crypto altcoins in late-cycle environments.
• Favor defensive, cash-generative sectors; energy and some commodities may hold up longer but are still vulnerable once recession reduces demand.
• Tactical rotations can succeed short-term, but treat rallies cautiously — they are often not cycle reversals.

Hiring and operations

• Prepare contingency plans for rapid unemployment increases or demand falls (scenario planning for cost cuts and contractions).
• Monitor initial claims, hires, and job openings as leading indicators that a downturn may become self-reinforcing.

Market-timing guidance

• Use leading indicators and normalized metrics (rather than waiting for lagging GDP prints) — markets typically lead recessions.
• Be especially prepared for volatility from March into the summer in midterm years.

Data sources and tools referenced

• TradingView — used for M2 and charting (note: TradingView’s M2 series is available only back to ~1980 on that platform).
• ITC website — past recession statistics, hires, and labor data; ITC Premium research pieces.
• Channel memos: Macro Risk Memo (Feb 15) and Crypto Macro Risk Memo (Jan 15) — available free on benjamancow.com.

Limitations, risks, and caveats

• TradingView M2 series excludes pre-1980 data, so 1970s cycles are not fully represented in the normalized indicator.
• Timing uncertainty: recession could arrive sooner or later than estimated; multiple shallow recessions are possible.
• Elevated indicators can persist for extended periods; an elevated metric does not automatically imply imminent recession.
• Behavioral risks: rallies and bullish narratives (e.g., “super cycle”) can mislead; markets often confound both bulls and bears at different times.

Presenters and sources

• Presenter: Benjamin (benjamancow.com) — host/creator; references Macroverse / ITC materials.
• Data and charts cited from TradingView and the ITC site.