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🔴 Predicting The Global Economy (w/ Raoul Pal) | Macro Insiders | Real Vision™

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Key takeaways

Finance

Finance-focused summary (global macro → investing framework & implied positioning)

Raoul Pal argues that “theoretical economics” taught in universities fails in real markets. Instead, investing should be built around probabilistic analysis of trends and business cycles, because cycles in GDP growth and related indicators tend to translate into predictable moves in asset prices.

Key market / macro claims & indicators used

1) Secular cycle (Kondratiev / “Kraitia” wave) driven by demographics

Aging populations (Western countries)

  • Consumer spending “declines” over time (early retirement-phase investing vs later retirement-phase divestment).
  • Tends toward lower inflation and eventually deflationary pressures.
  • Suggested effects:
    • slower economic growth
    • excess savings
    • lower interest rates
    • eventual pressure on stock markets (i.e., lower long-run equity returns)

Bullish contrast: “Monsoon” region (Indian Ocean area)

  • Described as having:
    • best demographics
    • highest savings rates
    • lowest debt per capita
    • lowest government debt
  • Framed as similar to the US in the 1950s–60s (baby boom/workforce entry), which Pal says is inflationary and supports growth.

2) Equity market cycle (long-term)

Pal uses a measure described as:

  • “10-year moving average of the year-on-year rate of change of equities”

Recommendation/caution (implied):

  • Equity returns may be transitioning to lower/negative returns.

Key numeric thresholds / disclosures inside the framework:

  • The equity cycle may still be incomplete (“shadow bounce”).
  • Crossing ~5% on his equity-cycle chart implies “nasty surprises” in a terrible economy.

Timeline call:

  • Potential final bottom could occur within the next ~5 years.

3) Commodity supercycle

  • Uses “GMI composite supercycle” (a broad commodity basket; implies multiple commodities).
  • Claims the supercycle has not bottomed yet.
  • Asserts:
    • Commodity returns stay around ~0 on a 10-year basis for extended periods.
    • Bottoms last ~a decade.

Implications:

  • Not broadly bullish on commodities long term.
  • However, precious metals can outperform even if the broader complex (industrial/agriculturals) struggles.

4) Debt supercycle (major theme)

Framework:

  • Debt buildup over generations → then a prolonged unwind (debt deflation / reset / jubilee / devaluation).

Key numbers:

  • World debt ~350% of GDP (highest ever recorded).
  • The US is the most indebted country in world GDP terms (by “total debt to GDP”).

Timeline:

  • The debt unwind is expected to take decades (if not longer).

Cautions:

  • Keynesian-style belief that debt can be sustained via money printing is said to fail because:
    • it increases debt but leads to lower money velocity
    • QE-like actions have limited impact once the debt overhang is large
  • Emphasizes deflation as the force that makes debt burdens worse in real terms.

Business cycle model (the “crux” for forecasting & probabilities)

Pal’s operational engine is the business cycle, which he says is measurable via ISM data.

Methodology / framework (step-by-step)

Step 1: Secular regime (top-down context)

  • Use demographics to infer long-run growth/inflation/returns regime.
  • Add other secular cycles:
    • equity cycle
    • commodity supercycle
    • debt supercycle

Step 2: Business cycle positioning (core timing tool)

  • Use the ISM composite index (Institute for Supply Management, US purchasing managers’ survey).
  • Recession probability rules:
    • ISM ≤ 46 → ~100% chance of recession
    • ISM ~50 → ~65% chance
    • ISM ~47 → odds rising to 80%+

Step 3: Short-term cycle overlay

  • Use Bloomberg CESI (City Economic Surprise Index):
    • measures economic data vs consensus
  • Pal’s claim:
    • when CESI is negative, ISM tends to fall
  • He describes ISM behavior as “up-cycle vs down-cycle” in response to CESI.

Step 4: Translate business cycle to asset classes

Build forecasts from observed relationships between ISM trends and:

  • S&P 500 YoY returns
  • EPS (earnings per share) changes
  • Commodity YoY changes (examples: lumber, copper / “Dr Copper”, oil)
  • Credit spreads (BBB/AAA referenced as BAA vs AAA)
  • Bond yields and CPI (inflation)

Step 5: Risk management

  • Explicitly probabilistic, not foolproof; Pal warns against relying on it for precise “bottom picking.”
  • Suggests using a parameter set to evaluate where the model is right vs wrong.

Asset-class implications he makes (directional, probabilistic)

Equities

  • Links S&P 500 YoY performance to ISM trend.
  • Core claim:
    • when ISM trends down, equity YoY returns trend down
  • Equities typically become “bear markets” in recessions.
  • Timing rule:
    • equities may not fall until ISM crosses 50 again (he notes it briefly crossed and triggered a selloff).

Bonds / rates

  • Bond yields correlate with the business cycle but were distorted by QE (central bank bond buying).
  • Preference: being long bonds because recession risk implies yields falling.

Inflation

  • Uses the relationship between CPI and ISM:
    • disinflation is the key trend, potentially leading toward deflation pressures.

Credit

  • Credit spreads (BAA vs AAA) track ISM:
    • as ISM falls → credit deteriorates → spreads widen (“blow out”).

Explicit forecasts / timeline calls

  • 2016 recession year:
    • described as a call for some time; “a bit early to tell,” but expected to play out.
  • US recession timing:
    • forecasts a high probability of “full recession by Q3 2016.”
  • Equity cycle bottom:
    • final bottom could occur in ~the next 5 years.

Tickers / instruments / indices mentioned

  • S&P 500
  • ISM
  • CESI (Bloomberg City Economic Surprise Index)
  • US GDP, world GDP
  • CPI
  • Commodities GMI composite
  • Copper (“Dr Copper”)
  • Crude oil (anecdote: roughly $120/bbl down to $30/bbl)
  • Lumber
  • Credit spreads: BAA vs AAA
  • QE / quantitative easing
  • Federal Reserve

(No specific public stock tickers, ETF tickers, or bond tickers were named in the provided subtitles.)

Key numbers / thresholds

  • ISM recession probabilities:
    • 46 → 100%
    • 50 → 65%
    • 47 → 80%+
  • Equity cycle risk threshold:
    • crossing ~5% implies “nasty surprises”
  • Debt / GDP:
    • world debt ~350% of GDP
  • Oil anecdote:
    • predicted fall from ~$120/barrel to ~$30/barrel
  • Timing frames:
    • recession probability framed around 2016
    • equity bottom framed within ~5 years
    • commodity supercycle “low-return” regime lasting about ~a decade

Overall stance (positioning bias)

  • Bearish bias on equities / long-run growth / asset returns in developed-world context due to:
    • demographics + equity cycle + commodity supercycle + debt unwind → pointing toward lower returns and periodic busts.
  • However, he says he is not heavily positioned yet, because equities may not turn down until ISM triggers further.

Disclosures / disclaimers

  • No explicit “not financial advice” disclaimer was included in the provided subtitles.
  • Pal stresses the approach is probabilistic, not certain:
    • “not foolproof”
    • he can be wrong
  • Recommends using parameters to assess right/wrong regimes.

Presenters / sources

  • Raoul Pal (presenter)
  • Macro Insiders / Real Vision™ (program/source mentioned)
  • ISM (Institute for Supply Management; data source)
  • Bloomberg (for CESI reference)

Original video