This deterministic table summarizes equity momentum, bond-sector health, breadth, confirmation and stock-selection z-rank mode used for the sector allocation call.
| Sector | Role | Stance | Score | Equity YTD | Bond YTD | Confirmation | Breadth | Z-rank mode |
|---|---|---|---|---|---|---|---|---|
| Energy | cross_asset | Overweight | 1.26 | +35.20% | +4.62% | 1.00 | 0.45 | direct |
| Technology | cross_asset | Overweight | 0.88 | +15.81% | +3.04% | 1.00 | 1.72 | direct |
| Financials | cross_asset | Overweight | 0.78 | +15.08% | +2.16% | 1.00 | 2.00 | neutral |
| Materials | cross_asset | Overweight | 0.67 | +12.59% | n/a | 0.00 | 1.34 | reverse |
| Health Care | stock_only | Overweight | 0.59 | +5.84% | n/a | 0.00 | 1.11 | reverse |
| Sector | Role | Stance | Score | Equity YTD | Bond YTD | Confirmation | Breadth | Z-rank mode |
|---|---|---|---|---|---|---|---|---|
| Industrials | cross_asset | Neutral | 0.32 | +4.47% | +1.96% | 1.00 | 2.00 | direct |
| Utilities | cross_asset | Neutral | 0.19 | +2.62% | +2.47% | 1.00 | 0.79 | neutral |
| Consumer Staples | cross_asset | Neutral | 0.19 | +0.58% | +2.58% | 1.00 | 1.00 | reverse |
| Communication Services | cross_asset | Neutral | 0.01 | +0.60% | -0.01% | 1.00 | 0.61 | neutral |
| Consumer Discretionary | cross_asset | Neutral | -0.13 | -0.56% | +2.46% | -0.55 | 1.30 | reverse |
| Real Estate | cross_asset | Neutral | -0.31 | -2.85% | +4.16% | -0.55 | 0.27 | direct |
September 2026 reinforced the cross-asset leadership of cyclicals, with Energy, Technology, Materials and Financials all outperforming on the equity side and, where available, posting positive bond returns. Bond performance generally confirmed equity strength, with the main tensions concentrated in rate‑sensitive defensives such as Real Estate and Consumer Discretionary.
The reconstructed August 2026 model review is validating: prior overweights in Energy and Financials captured strong September 2026 equity returns of +8.55% and +3.66% respectively, with bonds in both sectors adding incremental carry. We keep the stance pro‑cyclical but increasingly selective, leaning on breadth and cross‑asset confirmation rather than chasing isolated single‑name spikes.
| Sector | Model stance | Total score | Equity / Bond month | Equity breadth (stocks) | Bond breadth (bonds) | Top-stock concentration |
|---|---|---|---|---|---|---|
| Energy (cross-asset) | Overweight | 1.26 | +8.55% / +1.13% | 96 | 175 | 13.78% |
| Technology (cross-asset) | Overweight | 0.88 | +4.85% / +0.81% | 308 | 111 | 13.53% |
| Financials (cross-asset) | Overweight | 0.78 | +3.66% / +0.65% | 472 | 525 | 15.70% |
| Materials (cross-asset) | Overweight | 0.67 | +9.65% / n/a | 218 | 0 | 11.84% |
Energy: Cross‑asset confirmation remains robust. ML Energy Equity Index returned +8.55% in September 2026, while ML Energy Bond Index returned +1.13% in September 2026. Equity gains were broad, led by refiners such as South Korea: S-OIL (+34.38%) and South Korea: SK INNOVATION LTD (+33.91%), while Turkey: TURKIYE PETROL RAFINERILERI A added +30.27%. On the bond side, United States: NORTHERN OIL AND GAS INC 144A 2033 (+3.91%) and United States: SUNOCO LP 144A 2029 (+3.75%) confirmed improving credit risk appetite, even as idiosyncratic stress in United States: NFE FINANCING LLC MTN 144A 2029 (-6.40%) argues for disciplined single‑name risk control.
Technology: Cross‑asset signals are positive with solid breadth. ML Technology Equity Index returned +4.85% in September 2026, while ML Technology Bond Index returned +0.81% in September 2026. Equity performance was driven by high‑beta growth, including Taiwan: LARGAN PRECISION LTD (+87.91%), United States: ATLASSIAN CORP CLASS A (+87.72%) and China: YANGTZE OPTICAL FIBRE AND CABLE JO (+71.48%), offset by sharp drawdowns in United States: AMPHENOL CORP CLASS A (-49.76%) and United States: CREDO TECHNOLOGY GROUP HOLDING LTD (-24.81%). In credit, United States: MCAFEE CORP 144A 2030 (+7.16%) and United States: ROCKET SOFTWARE INC 144A 2029 (+6.24%) rallied, while weakness in United States: XEROX HOLDINGS CORP 144A 2029 (-5.29%) and United States: XEROX CORPORATION 144A 2031 (-3.85%) highlights ongoing dispersion between legacy and growth exposures.
Financials: The sector continues to validate a diversified overweight. ML Financials Equity Index returned +3.66% in September 2026, while ML Financials Bond Index returned +0.65% in September 2026. Equity leadership came from trading‑ and platform‑exposed names such as South Korea: DB INSURANCE LTD (+43.34%), United States: ROBINHOOD MARKETS CLASS A (+38.06%) and United States: COINBASE GLOBAL INC CLASS A (+31.54%), while India: POWER FINANCE CORPORATION LTD (-16.46%) and India: REC (-13.23%) detracted. In bonds, China: VANKE REAL ESTATE HONG KONG CO LTD 2027 (+14.20%) and United Arab Emirates: OMNIYAT SUKUK 1 LTD 2031 (+7.66%) delivered outsized gains, but losses in United States: ACRISURE LLC 144A 2032 (-7.99%) and related lines underline the need to avoid concentrated leverage stories.
Materials: A pure‑equity overweight with no bond data support but strong price action. ML Materials Equity Index returned +9.65% in September 2026, while ML Materials Bond Index has no return for September 2026. Equity performance was driven by beta to precious and base metals: Brazil: AURA MINERALS INC (+55.64%), South Africa: SIBANYE STILLWATER (+52.58%) and Canada: EQUINOX GOLD (+48.60%). Laggards such as Japan: MITSUI KINZOKU LIMITED LTD (-16.20%) and United States: AMRIZE AG (-13.84%) argue for diversified baskets rather than narrow factor tilts within the sleeve.
Backfilled August 2026 review: The reconstructed model’s prior overweights in Energy and Financials were rewarded, with ML Energy Equity Index previously at +8.56% and ML Energy Bond Index at +0.41%, and ML Financials Equity Index at +3.95% versus ML Financials Bond Index at +0.11%. The realized September 2026 outcomes strengthen confidence in using bond‑sector returns as a health precursor and z‑rank as an intra‑sector stock‑selection tool, rather than as a timing device.
The September sector model does not produce any formal Underweight sectors. The weakest areas of the model are therefore treated as Neutral watchlist sectors rather than outright allocation shorts.
| Sector | Model stance | Total score | Equity / Bond month | Equity breadth | Bond breadth | Top-stock concentration |
|---|---|---|---|---|---|---|
| Real Estate | Neutral watchlist | -0.31 | -1.86% / +0.55% | 81 | 34 | 15.45% |
| Consumer Discretionary | Neutral watchlist | -0.13 | -0.46% / +1.05% | 209 | 346 | 15.45% |
| Communication Services | Neutral watchlist | 0.01 | +0.86% / +1.09% | 111 | 230 | 13.82% |
Real Estate: The weakest equity profile remains in Real Estate. ML Real Estate Equity Index returned -1.86% in September 2026, while ML Real Estate Bond Index returned +0.55%. This is an equity-risk warning, but not enough for a formal model Underweight because sector credit remains resilient.
Consumer Discretionary: Equity/bond signals are in tension. ML Consumer Discretionary Equity Index returned -0.46%, while ML Consumer Discretionary Bond Index returned +1.05%. The model keeps the sector Neutral but recommends reducing broad equity beta and relying on selective stock picking.
Communication Services: The sector remains close to neutral. Equity and bond returns were positive but modest, so it is not a funding source against the stronger Energy, Technology and Financials overweights.
Health Care remains a dedicated equity sleeve with no bond‑sector counterpart in the MidLincoln universe. ML Health Care Equity Index returned +6.05% in September 2026, with 176 stocks and a high top‑stock concentration of 30.14%, and the stock‑picking z‑rank mode is set to reverse.
Performance was led by innovation‑heavy names such as China: GENSCRIPT BIOTECH CORP (+122.60%), Australia: CSL (+49.29%) and China: WUXI XDC CAYMAN INC (+40.15%), partially offset by China: IMEIK TECHNOLOGY DEVELOPMENT LTD A (-13.01%) and Germany: FRESENIUS MEDICAL CARE AG (-12.16%). Given the inverted z‑rank signal and high concentration, we treat Health Care as an alpha‑seeking, stock‑selection‑driven overweight rather than a core defensive allocation, with risk controls focused on single‑name and subsector crowding.
| Sector | Role | Stance | Stock-picking mode | Key implementation points |
|---|---|---|---|---|
| Energy | Cross-asset | Overweight | Direct | Use diversified baskets across refiners and upstream; pair equity beta with selective high-yield credits while capping weaker single-name risk. |
| Technology | Cross-asset | Overweight | Direct | Balance high-growth winners with risk controls; sector credit confirms the equity trend, but single-name volatility remains high. |
| Financials | Cross-asset | Overweight | Neutral | Exploit strong breadth across both equities and bonds; keep exposure diversified rather than concentrated in leverage-sensitive names. |
| Materials | Cross-asset | Overweight | Reverse | Tilt toward diversified metals and mining winners, but recognize the absence of bond confirmation and avoid overcrowded momentum clusters. |
| Health Care | Stock-only | Overweight | Reverse | Treat as an alpha-seeking stock-selection sleeve rather than a cross-asset sector call; manage concentration and subsector crowding carefully. |
| Real Estate / Consumer Discretionary / Communication Services | Cross-asset | Neutral watchlist | Direct / Reverse / Neutral | Do not treat these as formal Underweights. Use them as watchlist sectors where equity momentum is weak or equity/bond signals diverge. |