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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and freeport-mcmoran (fcx)'s historical behaviour in similar regimes, the model projects $66.37 by 2026-12-31 ( +5.3% from $63.01 today). The 68% confidence range is $44.12 to $88.62; the wider 95% range is $22.76 to $110. Methodology below the headline.

Central Estimate
$66.37
+5.3% vs current $63.01
68% Range (±1σ)
$44.12 to $88.62
95% Range (±1.96σ)
$22.76 to $110
Blended from 4 regime anchors· sample-weighted
VIX · Normal (15-25)
+9.9%n=842 · w=37%
10Y-2Y Yield Curve · Flat (0-100bps)
+18.6%n=573 · w=25%
HY OAS Spread · Tight (<350bps)
+1.7%n=762 · w=33%
Trade-Weighted Dollar · Weak (bottom tercile)
-5.3%n=115 · w=5%
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 156-DAY HORIZON. BAND = ±σ√T USING 44.9% ANNUALIZED REALIZED VOL.
EXPECTED TO BE $66.37 BY 2026-12-31 (HIGHER FROM $63.01 ON 2026-05-18). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Freeport-McMoRan (FCX) Forecast 2026

Quantitative analysis from 1,298 observations of Freeport-McMoRan (FCX) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
FCX · LAST
$63.01
AS OF 2026-05-18
Percentile · 25Y History
97.5th
▍ HEADLINE SIGNAL · CONTRARIAN BEARISH
Hist. Avg +252d
+1.7%
vs +12.0% unconditional · -10.2%pp below
When HY OAS Spread sits in its Tight (<350bps) regime — as it does today (2.76) — Freeport-McMoRan (FCX) has historically returned an average of +1.75% over the next 252 trading days, 10.2pp below the all-history average of +11.96%. Sample: 762 observations, 33.0% hit rate.
METHOD: PERCENTILE-RANK MATCHED, LOOK-AHEAD-BIAS-FREE·NOT A FORECAST·HISTORICAL CONDITIONAL AVERAGE

Regime Scan[01/04]

VIX
Normal (15-25)
+9.9%+1Y AVG
Δ -2.1%pp · n=842
10Y-2Y Yield Curve
Flat (0-100bps)
+18.6%+1Y AVG
Δ +6.7%pp · n=573
HY OAS Spread
Tight (<350bps)
+1.7%+1Y AVG
Δ -10.2%pp · n=762

Δ = divergence from +12.0% unconditional all-history average

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y26262.89%46.16%1.3653.3%62.40%
3Y76320.89%42.17%0.5050.4%76.60%
5Y1,2687.36%44.64%0.1648.9%42.62%
10Y1,29811.96%44.88%0.2749.0%78.20%
All1,29811.96%44.88%0.2749.0%78.20%

Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.

Where We Are Now[03]

Percentile Rank
97.5th
25.09median 40.2270.36
Current value 63.0100 on a 1,298-observation history going back to Jul 14, 2022.
Volatility Regime
elevated
54.50%REALIZED 30D ANN
Sits at the 81.6th percentile vs full history. Median 39.61%.

Forward Returns by Macro Regime[04]

How Freeport-McMoRan (FCX) has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.

VIX
Volatility regime: Low (<15), Normal (15-25), Elevated (25-40), Extreme (>40)
CURRENT: 17.26 Normal (15-25)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Low (<15)2611.12%5.51%0.57%-1.89%45.3%
Normal (15-25)8421.36%5.71%9.90%-0.38%49.1%
Elevated (25-40)1766.44%8.77%17.75%9.22%66.3%
Extreme (>40)4n/an/an/an/an/a
10Y-2Y Yield Curve
Yield curve regime: Inverted (<0bps), Flat (0-100bps), Steep (>100bps)
CURRENT: 0.50 Flat (0-100bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Inverted (<0bps)5403.22%8.35%8.94%5.47%57.8%
Flat (0-100bps)5731.25%3.07%18.65%4.55%57.4%
Steep (>100bps)1631.19%7.93%-7.97%-13.19%16.6%
HY OAS Spread
Credit regime: Tight (<350bps), Normal (350-500bps), Stressed (>500bps)
CURRENT: 2.76 Tight (<350bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Tight (<350bps)7622.15%6.49%1.75%-7.46%33.0%
Normal (350-500bps)4691.00%2.88%15.26%10.65%65.7%
Stressed (>500bps)5311.19%31.63%32.59%31.98%100.0%
Trade-Weighted Dollar
Dollar regime: bottom/middle/top tercile of trailing 5Y rolling distribution
CURRENT: 118.04 Weak (bottom tercile)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Weak (bottom tercile)115-4.71%-6.42%-5.30%-8.54%28.6%
Neutral (middle)3366.53%15.36%-4.06%-7.82%24.8%
Strong (top tercile)8181.07%3.57%13.24%5.47%58.2%

Forward returns are forward-looking from each historical observation in the bucket; +252d corresponds to one trading year. Buckets with fewer than 5 forward-return observations are reported as n/a. These are conditional historical averages, not forecasts.

Lead-Lag Relationships[05]

For each universally-recognised leading indicator, the lag at which the daily-return correlation peaks. Positive lag means the anchor leads Freeport-McMoRan (FCX); negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
CopperGlobal growth proxy0d0.5590.559coincident
VIXVolatility leader0d-0.437-0.437coincident
Trade-Weighted DollarFX driver0d-0.418-0.418coincident
HY OAS SpreadCredit risk leader0d-0.402-0.402coincident
Baa-10Y SpreadCredit risk (slow)0d-0.103-0.103weak
NFCIFinancial conditions0d-0.101-0.101weak
10Y Treasury YieldDiscount-rate driver-60d0.0920.040weak
Initial Jobless ClaimsLabor leader+41d0.084-0.006weak
10Y-2Y Yield SpreadRecession leader-13d0.068-0.026weak
U-Mich Consumer SentimentSurvey leader0d0.0000.000weak

Pearson correlation of daily returns over up to 25 years of overlapping history, searched across a ±60-day lag grid. Indicators classified as “weak” don't have meaningful predictive power at daily resolution; many of these (yield curve, NFCI, sentiment) lead at monthly/quarterly horizons instead.

Historical Analogs[06]

Periods where Freeport-McMoRan (FCX) sat at a similar percentile rank to today, with what happened over the next 30 / 90 / 252 trading days. Analogs are clustered to avoid double-counting nearby dates.

DATEVALUE+30D+90D+1Y
Oct 11, 202450.0300-12.61%-25.82%-16.63%
Jul 12, 202451.2800-12.91%-15.07%-14.24%
Apr 12, 202449.47004.16%-11.28%-32.54%
Jan 25, 202346.6400-16.02%-20.58%-15.12%
Apr 20, 202249.9000-16.39%-36.87%-20.52%

Worst Historical Drawdown[07]

-51.68%PEAK-TO-TROUGH
Peak Mar 25, 2022 → trough Jul 14, 2022. Recovered to prior peak on Apr 29, 2024 (655 days).
All-time high: 70.3600 on Apr 22, 2026 · Current DD from ATH: -10.45%

Cross-Asset Correlations · 1Y[08]

S&P 500
0.510
n=260
Nasdaq 100
0.481
n=260
20Y Treasury
0.092
n=260
Gold
0.459
n=260
Bitcoin
0.261
n=260

Largest Single-Period Moves[09]

▲ Up
  • Apr 9, 202515.51%
  • Nov 4, 202211.50%
  • Oct 21, 20229.99%
  • Apr 9, 20269.36%
  • Mar 5, 20259.34%
▼ Down
  • Sep 24, 2025-16.95%
  • Apr 4, 2025-13.01%
  • Apr 23, 2026-12.62%
  • Apr 3, 2025-12.28%
  • Apr 21, 2022-9.92%

Calendar-Month Seasonality[10]

Average single-period return aggregated by the calendar month in which the period ended.

MONTHAVG RETURNHIT %N
January0.11%46.5%101
February0.29%55.2%96
March0.19%56.0%109
April-0.11%44.5%128
May0.20%51.2%123
June-0.20%46.6%103
July0.11%51.4%105
August-0.10%45.9%111
September-0.20%47.6%103
October0.17%43.6%110
November0.36%52.0%102
December0.23%49.1%106

N = 1,298 OBS · GENERATED 2026-05-17 18:00Z

Forecast Approach

scenario weighted: We aggregate probability-weighted outcomes across active tracked scenarios, each with historical base rates and current heat scores. The projection above is the sample-weighted central estimate across current macro regime anchors; the scenario list below adds qualitative context.

Key Drivers & Risks

  • Company earnings
  • Sector dynamics
  • Macro environment
  • Valuation

Historical Volatility

High: individual stock vol exceeds index vol

Scenarios That Affect This Forecast

Frequently Asked Questions

What factors could push Freeport-McMoRan (FCX) higher?

The primary drivers that tend to lift Freeport-McMoRan (FCX) depend on the current macro regime. Freeport-McMoRan, copper mining bellwether, tracks global industrial demand. Convex tracks these drivers live across the Equity Stock category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.

What factors could push Freeport-McMoRan (FCX) lower?

The same transmission channels that drive Freeport-McMoRan (FCX) higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.

Where does consensus see Freeport-McMoRan (FCX) heading?

Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.

What is the historical range for Freeport-McMoRan (FCX)?

Historical ranges for Freeport-McMoRan (FCX) vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the Freeport-McMoRan (FCX) chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Freeport-McMoRan (FCX) forecast updated?

This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.

Is this forecast actionable for trading?

Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.

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Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.