Parallax

    Product

    Insights

    MCPDocs
    Login
    Parallax
    Blog/The Six-Factor Framework
    analysis

    NY Fed ACM 10-Year Term Premium Hits +92 bps vs. 5.24% Yields: Factor Attribution of the Sovereign Discount Rate Shock, Equity Duration, and Rebalancing Across the Six-Factor Framework

    The NY Fed ACM 10-year term premium has reached +92 bps as Treasury yields hold at 5.24%. We deconstruct the sovereign discount rate shock, 24% market breadth collapse, and equity duration across the Parallax Six-Factor Framework: Value, Quality, Momentum, Defensive, Size, and Tactical.

    Parallax ResearchOctober 11, 202613 min readData as of October 10, 2026
    Adrian-Crump-Moench ModelTerm PremiumTen-Year Treasury YieldSix-Factor FrameworkEquity DurationFactor AttributionQuality FactorValue FactorMomentum FactorDefensive FactorSize FactorTactical FactorMarket BreadthPortfolio ConstructionDiscount Rate Shock

    Executive Summary: The +92 bps Term Premium Milestone & Market Fragility

    On the weekend of October 10–11, 2026, as institutional allocators prepared for the official kickoff of third-quarter earnings season and the critical September Consumer Price Index (CPI) release, econometric data from the Federal Reserve Bank of New York's Adrian-Crump-Moench (ACM) affine term structure model registered a landmark reading: the 10-year U.S. Treasury term premium reached +0.920% (+92.0 basis points).

    With the benchmark nominal 10-year Treasury yield settling the week at 5.244% (after printing a 24-year intraday high of 5.365% mid-week) and the 30-year bond trading at 5.60% (having peaked at 5.63%), this ACM reading confirms that long-term sovereign borrowing costs have completely uncoupled from near-term Federal Open Market Committee (FOMC) policy-rate paths. Across the 21 observation intervals from September 9 to October 8, 2026, the New York Fed fitted 10-year yield advanced by 39.48 basis points. Decomposing this yield surge reveals that 21.64 basis points (54.8%) originated directly from the expansion of the term premium, while the expected-average-short-rate component contributed just 17.84 basis points.

    On the surface, headline equity indexes masked this underlying sovereign stress: the S&P 500 closed the week up +1.2% at 7,811.54, and the Dow Jones Industrial Average gained +0.83% to 51,654.95. However, quantitative market internals revealed acute fragility:

    1. Market Participation Collapse: Only 24.0% of S&P 500 constituents trade above their 20-day moving average, and only 27.17% remain above their 40-day moving average. Quantitative regime models maintained a composite market score of 65.8 (Defensive), with the Fragility Index registering 94.1 (Severe Stress) and Participation Risk elevated at 74.8 (Defensive).
    2. Semiconductor Hardware Unwind: The PHLX Semiconductor Index (SOX) plummeted -4.3% on the week, led by sharp drops in the iShares Semiconductor ETF (SOXX, -5.01%) and VanEck Semiconductor ETF (SMH, -4.32%). Despite blowout preliminary results from Samsung (operating profit up 31.8% to KRW 12.1T) and TSMC (September revenue up 54.6% YoY to NT511.9B),theentireAIhardwarecomplexde−ratedafterreportsthatOpenAI′sannualizedrevenuerun−ratereachedapproximately511.9B), the entire AI hardware complex de-rated after reports that OpenAI's annualized revenue run-rate reached approximately 511.9B),theentireAIhardwarecomplexde−ratedafterreportsthatOpenAI′sannualizedrevenuerun−ratereachedapproximately50 billion at end-September—trailing previous whisper numbers near $70 billion and igniting payback-duration scrutiny across hyperscaler supply chains.
    3. The Term Premium vs. Rate Hike Divergence: While money markets price an 80% probability of an FOMC rate pause at the late-October meeting, 10-year Treasury yields refused to decline below 5.20%. Equity investors are no longer battling federal funds policy hikes; they are confronting a structural surge in the term premium—the sovereign discount rate demanded by institutional capital to absorb colossal debt issuance.

    Treating this yield surge as a standard rate hike is a fatal portfolio construction error. Within the Parallax Six-Factor Framework—Value, Quality, Momentum, Defensive, Size, and Tactical—a positive term premium regime fundamentally re-engineers discount rates, compresses equity duration, penalizes asset growth anomalies, and invalidates traditional bond-proxy defensiveness.

    ACM 10-Year Treasury Yield Decomposition (As of October 10, 2026):
    +---------------------------------------------------------------------------------+
    | Benchmark Nominal 10-Year Fitted Yield: 5.217% - 5.244%                         |
    |   |--> Expected Average Risk-Free Short Rate (10-Year): 4.297% (82.4%)          |
    |   |--> Adrian-Crump-Moench (ACM) Term Premium:          +0.920% (+92 bps; 17.6%)|
    +---------------------------------------------------------------------------------+
    | 30-Day Fitted Yield Change: +39.48 bps                                          |
    |   |--> Expected Rate Contribution:   +17.84 bps (45.2%)                         |
    |   |--> Term Premium Contribution:    +21.64 bps (54.8% -- Dominant Driver)      |
    +---------------------------------------------------------------------------------+
    

    The Anatomy of an ACM Term Premium Shock

    To evaluate the cross-asset transmission mechanism, allocators must isolate how the Adrian-Crump-Moench term structure framework decomposes the sovereign curve into two economically distinct vectors:

    Yt(n)=1n∑i=0n−1Et[rt+i]+TPt(n)Y_t^{(n)} = \frac{1}{n} \sum_{i=0}^{n-1} \mathbb{E}_t [r_{t+i}] + \text{TP}_t^{(n)}Yt(n)​=n1​∑i=0n−1​Et​[rt+i​]+TPt(n)​

    Where:

    • rt+ir_{t+i}rt+i​ represents the short-term nominal risk-free rate (federal funds rate).
    • 1n∑i=0n−1Et[rt+i]\frac{1}{n} \sum_{i=0}^{n-1} \mathbb{E}_t [r_{t+i}]n1​∑i=0n−1​Et​[rt+i​] reflects the risk-neutral expected path of monetary policy over horizon nnn.
    • TPt(n)\text{TP}_t^{(n)}TPt(n)​ is the term premium—the time-varying risk compensation demanded by investors for exposure to duration, inflation volatility, fiscal supply risk, and liquidity fragmentation.

    Why a Term Premium Shock Decouples from Policy Rate Cycles

    Between 2014 and 2021, the 10-year ACM term premium averaged -0.45% (-45 basis points), driven by persistent quantitative easing (QE), foreign reserve recycling, and regulatory demand for high-quality liquid assets (HQLA). In a negative term premium regime, the sovereign yield curve artificially depresses terminal discount rates. Even when central banks hike the short rate, the term premium acts as an anchor on the long end, preserving rich valuation multiples for growth assets.

    Today's regime is the exact inverse. The +92 bps term premium is driven by four structural, non-monetary engines:

    1. Federal Fiscal Deficit Indigestion: The U.S. federal deficit hovers between 6.2% and 6.8% of GDP during an economic expansion. The Treasury Department's issuance calendar requires digesting over $119 billion in monthly coupon auctions, leading to chronic primary dealer concession tails and dealer inventory exhaustion.
    2. Hyperscaler AI Debt Crowding: The capital expenditures required for the global artificial intelligence infrastructure buildout—encompassing mega-scale datacenters, high-voltage substations, and multi-gigawatt nuclear power purchase agreements—are increasingly financed through the corporate bond market. Corporate debt issued to fund AI capex has scaled to represent over 30% of net Treasury coupon issuance, forcing corporate and sovereign borrowers to compete directly for the same pool of institutional duration.
    3. Foreign Reserve Reallocation & Geopolitical Premia: With Brent crude entrenched between 100and100 and 100and104 per barrel following Middle Eastern supply escalations, foreign central banks and sovereign wealth funds have diversified reserves away from nominal long-duration paper into hard physical assets, contributing to the structural break analyzed in our research on gold at $4,190 vs. real yields and debasement premia.
    4. Quantitative Tightening (QT) & Balance Sheet Normalization: The Federal Reserve continues to allow up to $60 billion in Treasuries and mortgage-backed securities to roll off its balance sheet monthly, permanently removing the price-insensitive sovereign buyer that suppressed term premia for fifteen years.

    When yields rise because the market anticipates higher policy rates, the shock is concentrated in near-term cash flows. But when yields rise because the term premium expands by +92 bps, the discount rate penalty applies symmetrically across all forward cash flows, inflicting severe non-linear multiple compression on long-duration equities.

    Discount Rate Transmission: Policy Rate Hike vs. Term Premium Expansion:
    +---------------------------------------------------------------------------------+
    | Policy Rate Hike (Short Rate Focus):                                            |
    | Fed Funds Hikes --> Front-End Yields Spike --> Yield Curve Inverts              |
    | Multiples: Front-End Re-Pricing; Long-Term Terminal Discount Rates Anchor      |
    +---------------------------------------------------------------------------------+
    | Term Premium Expansion (Long-End Focus):                                        |
    | Sovereign Supply/Deficits --> 10Y/30Y Term Premia Surge --> Curve Bear-Steepens |
    | Multiples: Exponential Discount Rate Expansion on Distant Cash Flows            |
    | Equity Duration Penalized: Long-Duration Growth & Bond Proxies Face Contraction|
    +---------------------------------------------------------------------------------+
    

    Factor Attribution Across the Parallax Six-Factor Framework

    To immunize portfolios against an elevated term premium regime, active managers, family offices, and SMA fiduciaries must analyze cross-sectional performance through the Parallax Six-Factor Framework.

    1. The Value Factor: Refinancing Traps vs. FCF Yield Decoupling

    Under a zero or negative term premium regime, traditional book-to-price and trailing earnings metrics reliably identify undervalued companies. In a +92 bps term premium environment, classical Value metrics become dangerously deceptive:

    • The Deep Value Refinancing Trap: Capital-intensive, highly leveraged companies (e.g., legacy automotive, traditional commercial freight, commodity packaging) frequently screen as "statistically cheap" at 7.0x to 9.5x trailing P/E. However, their balance sheets carry massive debt-refinancing cliffs between 2026 and 2028. With corporate BBB bond yields clearing 6.25% to 6.55% (a 110 bps spread over the 5.24% 10-year benchmark), the incremental interest burden upon refinancing wipes out between 25% and 40% of normalized net income.
    • Unlevered Free-Cash-Flow (FCF) Yield Dominance: True value in a positive term premium regime decouples from accounting book value and accrual multiples. Allocators must focus on Unlevered Free-Cash-Flow Yield exceeding 7.5%, supported by negative working capital cycles and self-funding capital expenditure programs. As examined in our methodology on valuation multiple compression across late-cycle regimes, low valuation multiples only protect capital if the underlying cash flow stream requires zero external debt refinancing.

    2. The Quality Factor: ROIC Moats vs. Hurdle Rate Escalation

    The Quality factor serves as the primary capital preservation engine when term premia widen. However, the threshold for what constitutes institutional quality has fundamentally shifted:

    • Economic Profit Spread Erosion: When the nominal risk-free benchmark sits at 5.244% and corporate investment-grade borrowing costs exceed 6.00%, the corporate Weighted Average Cost of Capital (WACC) climbs from 6.0% (in 2021) to 9.5%–10.5%. Any enterprise generating a Return on Invested Capital (ROIC) below 10.0% is actively destroying economic shareholder value.
    • Asset-Light Compounding Moats: Companies exhibiting ROIC above 25.0%, gross margins exceeding 55%, and net debt-to-EBITDA below 0.5x possess immunity to term premium shocks. Because their organic cash generation fully finances growth capex, they never tap the corporate debt market, rendering their equity valuation immune to rising sovereign borrowing hurdles.
    • Forensic Accrual Discipline: In periods of multiple compression, management teams face intense pressure to mask earnings degradation through aggressive capitalized R&D and deferred maintenance. Portfolios must systematically screen for low Sloan accrual ratios and high cash-conversion efficiency (Operating Cash Flow / Net Income > 1.15x).

    3. The Momentum Factor: AI Crowding Fragility & Hardware Unwinds

    The Momentum factor entered October 2026 exhibiting severe internal structural tension:

    • The 0.732 / L3 Factor Crowding Alert: At the end of September 2026, quantitative factor crowding tracking models flagged U.S. large-cap price momentum at a crowding z-score of +0.732 (Level 3 Elevated Saturation), with beta-adjusted long-only momentum touching 0.872 (Level 4 Critical). As established in our empirical study on factor crowding indicators and style saturation, when momentum crowding exceeds +0.70, pairwise correlation among top-decile constituents reaches 0.68, leaving the style factor acutely vulnerable to liquidity shocks.
    • The Semiconductor Hardware Dispersion: The 5-day decoupling where the S&P 500 advanced +1.16% while the SOXX semiconductor ETF dropped -5.01% illustrates this dynamic. While cloud software and cybersecurity recovered (Palo Alto Networks +5%, CrowdStrike +4%, Zscaler +7%), physical silicon and hardware foundries broke down. Even record quarterly results failed to stem the selling: Samsung fell -2.4% on a record KRW 12.1T profit, while TSMC slid -3.0% despite +54.6% September sales.
    • Payback Duration Re-Pricing: The Financial Times report on OpenAI's $50B revenue run-rate forced allocators to recalculate the payback period of hundreds of billions in hardware capex. When the 10-year discount rate is 5.24% with a +92 bps term premium, cash flows generated in year 7 or year 10 have an exponentially smaller net present value. Momentum must rotate out of long-duration speculative hardware into structural industrial, defense, and power infrastructure beneficiaries.
    Semiconductor Momentum vs. S&P 500 Performance (Week Ended Oct 9, 2026):
    +---------------------------------------------------------------------------------+
    | Asset / ETF            | 5-Day Return  | 20-Day Return | Factor Exposure Mode   |
    +------------------------+---------------+---------------+------------------------+
    | S&P 500 (SPY)          |    +1.16%     |    +1.87%     | Broad Market Benchmark |
    | Dow Industrials (DIA)  |    +0.83%     |    +1.45%     | Value / Industrials    |
    | Nasdaq 100 (QQQ)       |    +0.23%     |    +5.09%     | Large-Cap Tech Growth  |
    | VanEck Semi (SMH)      |    -4.32%     |    +6.12%     | High-Beta Hardware     |
    | iShares Semi (SOXX)    |    -5.01%     |    +6.13%     | Concentrated Silicon   |
    | SPDR Semi (XSD)        |    -4.91%     |    +4.42%     | Equal-Weight Semi      |
    +---------------------------------------------------------------------------------+
    | Key Takeaway: Sharp 5-day factor unwind (-5.01% SOXX vs. +1.16% SPY) exposes    |
    | extreme sensitivity of crowded tech momentum to positive term premium hurdles.  |
    +---------------------------------------------------------------------------------+
    

    4. The Defensive Factor: The Breakdown of Bond Proxies

    The most dangerous factor positioning error today is the unhedged reliance on classical "defensive" sectors:

    • The Negative Yield Spread Trap: Historically, conservative allocators treated regulated utilities (XLU) and real estate investment trusts (VNQ) as safe bond proxies offering 3.5% to 4.5% dividend yields and low market betas (0.40 to 0.55). Today, with the 10-year Treasury yielding 5.244%, these sectors offer negative yield spreads of -75 to -175 basis points. They possess the equity duration of long-term bonds without sovereign credit risk backing.
    • The Utility Factor Inversion: As detailed in our factor analysis of the utility-to-tech factor migration under hyperscaler nuclear PPAs, merchant power producers (e.g., Vistra, Constellation) have inverted completely from defensive bond proxies into high-beta growth options. Regulated rate-base utilities, meanwhile, face equity dilution as public utility commissions cap returns while debt service costs surge.
    • Modernizing the Defensive Sleeve: Effective defensiveness in an ACM +92 bps term premium environment cannot be achieved through bond proxies. Portfolios must shift defensive capital into:
      1. High-margin global healthcare pharmaceuticals and medical devices with inelastic pricing power.
      2. Defense prime contractors backed by multi-year sovereign backlog appropriations.
      3. Real-asset inflation hedges and gold reserves that demonstrate zero correlation to U.S. fiscal term premia.

    5. The Size Factor: Small-Cap Refinancing Asymmetry

    The Size factor exhibits severe asymmetry when long-end term premia surge:

    • Debt Capital Structure Divergence: S&P 500 large-cap enterprises carry less than 12.0% floating-rate debt, having locked in multi-decade fixed coupons below 4.0% prior to 2022. By contrast, constituents of the small-cap Russell 2000 index hold over 42.0% floating-rate or short-term maturities.
    • Interest Expense Absorption: For small-cap firms, interest coverage ratios have plunged below 2.2x. Every 50 bps expansion in long-term benchmark yields increases the cost of refinancing bank credit lines and private credit facilities to 8.5%–10.0%.
    • The Large-Cap Quality Premium: Small-cap equity breakout attempts continue to fail because institutional capital refuses to underwrite the refinancing risk of unprofitable small caps. In an elevated term premium regime, large-cap balance-sheet strength commands an expanding premium over small-cap index beta.

    6. The Tactical Factor: Dynamic Risk Budgeting for Q3 Earnings & CPI

    Heading into the trading week of October 12–16, 2026, the Tactical factor dictates proactive portfolio rebalancing across four immediate catalysts:

    • Major Bank Earnings (Oct 13): JPMorgan Chase, Goldman Sachs, Wells Fargo, Citigroup, and Bank of America report third-quarter earnings. As analyzed in our recent study on the S&P banks deposit beta surge, the key metric is not headline net interest income, but whether rising term premia have accelerated deposit flight into 5.0% money market funds and expanded commercial real estate credit-loss provisions.
    • September CPI Report (Oct 14): Consensus projects headline CPI at +0.6% MoM (driven by $104 crude and diesel transport costs) and core CPI at +0.2% to +0.3% MoM. A hot inflation print risks driving the 10-year yield toward Wednesday's 5.365% high and pushing the ACM term premium above +105 basis points.
    • Columbus Day Liquidity Thinner: With U.S. Treasury cash markets closed on Monday, October 12 for Columbus Day while equity markets remain open, equity indexes face reduced dealer liquidity, magnifying intraday volatility.
    • Stress-Testing Factor Quintiles: Multi-factor managers must conduct systematic rate-shock stress simulations, applying the principles detailed in our framework on macro regime stress testing across factor portfolios.
    Parallax Six-Factor Attribution Matrix: Positive Term Premium Regime (+92 bps)
    +----------------------------------------------------------------------------------------------------+
    | Factor       | Factor Return | Equity Duration | Beta to 50 bps | Recommended Institutional         |
    |              | Sensitivity   | Estimate (Yrs)  | TP Expansion   | Portfolio Posture                 |
    +--------------+---------------+-----------------+----------------+-----------------------------------+
    | Value        | Bifurcated    | 12.5 - 18.0 yrs | -0.42 (Levered)| Overweight FCF Yield > 7.5%;      |
    |              | (High vs Low) |                 | +0.38 (Cash)   | Underweight High-Debt Low P/E     |
    +--------------+---------------+-----------------+----------------+-----------------------------------+
    | Quality      | Strong Out-   | 8.0 - 12.0 yrs  | +0.55 (Alpha)  | Maximum Overweight: ROIC > 25%,   |
    |              | performance   |                 | -0.15 (Beta)   | Net Debt/EBITDA < 0.5x, High FCF  |
    +--------------+---------------+-----------------+----------------+-----------------------------------+
    | Momentum     | Severe        | 22.0 - 32.0 yrs | -0.85 (Fragile)| De-crowd High-Beta AI Hardware;   |
    |              | Fragility     |                 |                | Rotate to Energy & Infrastructure |
    +--------------+---------------+-----------------+----------------+-----------------------------------+
    | Defensive    | Inverted      | 16.0 - 24.0 yrs | -0.72 (Bond-   | Underweight Regulated Utilities;  |
    |              | (Bond Proxy)  |                 |  Proxy Drag)   | Overweight Healthcare & Gold      |
    +--------------+---------------+-----------------+----------------+-----------------------------------+
    | Size         | Under-        | 14.0 - 20.0 yrs | -0.68 (Debt    | Underweight Unprofitable Small    |
    |              | performance   |                 |  Wall Drag)    | Caps; Strict Large-Cap Bias       |
    +--------------+---------------+-----------------+----------------+-----------------------------------+
    | Tactical     | High Dis-     | Dynamic         | +0.45 (Active) | Shorten Equity Duration; Maintain |
    |              | persion       | Overlay         |                | Factor-Neutral Long/Short Hedges  |
    +----------------------------------------------------------------------------------------------------+
    

    Actionable Portfolio Re-Engineering Protocol

    For investment committees, family offices, and quantitative portfolio managers, navigating an ACM term premium regime requires executing four operational adjustments:

    Step 1: Calculate Portfolio Equity Duration

    Allocators must measure the implied cash-flow duration of every holding:

    Dequity=∑t=1Tt⋅CFt(1+r)t∑t=1TCFt(1+r)tD_{\text{equity}} = \frac{\sum_{t=1}^{T} \frac{t \cdot \text{CF}_t}{(1 + r)^t}}{\sum_{t=1}^{T} \frac{\text{CF}_t}{(1 + r)^t}}Dequity​=∑t=1T​(1+r)tCFt​​∑t=1T​(1+r)tt⋅CFt​​​

    Where r=rf+ERP+TPACMr = r_f + \text{ERP} + \text{TP}_{\text{ACM}}r=rf​+ERP+TPACM​. In portfolios where more than 60% of enterprise value is derived from cash flows projected beyond year 7, the portfolio duration typically exceeds 18.0 years. Each 25 bps expansion in the term premium imposes a -4.5% theoretical drag on valuation multiples. Portfolios must systematically shorten duration toward a target range of 9.0 to 12.5 years by trimming non-earning growth and reallocating toward near-term free cash flow yielders.

    Step 2: Implement the Quality-Over-Beta Hurdle Rate

    Every portfolio company must be evaluated against the current 5.24% risk-free hurdle:

    1. Economic Value Added (EVA) Screen: Ensure ROIC−WACC≥+500 bps\text{ROIC} - \text{WACC} \ge +500 \text{ bps}ROIC−WACC≥+500 bps. Eliminate any business generating marginal ROIC below 10.0%.
    2. Debt Service Coverage: Require trailing 12-month EBITDA-to-Interest expense above 6.0x.
    3. Maturity Wall Audit: Verify that zero long-term debt matures prior to Q4 2028 unless fully backed by cash and cash equivalents on balance sheet.

    Step 3: De-Crowd Momentum and Neutralize Hardware Concentration

    Given the 0.732 / L3 crowding score and semiconductor hardware's -4.3% weekly drop, momentum sleeves must be re-anchored:

    • Trim single-stock weights in mega-cap semiconductor names where capital expenditure payback horizons exceed 5 years.
    • Re-weight momentum toward cash-flow-confirmed leaders in energy logistics, electrical transmission equipment, defense aerospace, and cybersecurity.
    • Establish strict stop-loss and trailing factor rebalancing triggers to avoid participating in systemic momentum unwind cascades.

    Step 4: Reconstruct the Defensive Sleeve Away from Bond Proxies

    Acknowledge that traditional 60/40 balanced asset allocation and utility dividend sleeves provide negative duration drag under positive term premia:

    • Reallocate capital from regulated electric utilities and net-lease REITs into high-operating-margin pharmaceuticals and commercial medical supply monopolies.
    • Allocate a 5% to 8% strategic sleeve to physical gold and precious metals, capturing the monetary debasement risk premium that thrives alongside sovereign fiscal supply expansions.
    • Utilize cash and short-duration Treasury bills (earning 4.79% to 4.93%) as high-yielding dry powder to deploy tactically during corporate earnings volatility.

    Conclusion: The New Sovereign Discipline

    The rise of the New York Fed ACM 10-year term premium to +0.920% marks the definitive end of the post-2008 era of artificially depressed sovereign discount rates. With 10-year nominal Treasury yields holding firm at 5.244%, corporate borrowing costs climbing past 6.30%, and broader market breadth collapsing to 24.0%, the investment environment has shifted from macroeconomic speculation to balance-sheet survival.

    By replacing passive benchmark reliance with the Parallax Six-Factor Framework, institutional investors can systematically isolate genuine quality, purge hidden duration liabilities, avoid debt-refinancing traps, and construct resilient equity portfolios engineered to compound capital across generational term premium regimes.

    Sources

    1. 1.https://www.newyorkfed.org/research/data_indicators/term_premia.html
    2. 2.https://fred.stlouisfed.org/series/DGS10
    3. 3.https://fred.stlouisfed.org/series/DGS30
    4. 4.https://www.federalreserve.gov/monetarypolicy/fomcminutes20260916.htm
    5. 5.https://www.bls.gov/cpi/

    Important disclosure

    This quantitative factor attribution report is provided for institutional education and multi-factor research purposes only. It does not constitute individualized investment advice, financial planning, a personal recommendation, or an endorsement of any security, commodity, fund, or trading strategy. All factor scores, factor risk attribution metrics, duration calculations, and valuation estimates are generated using the proprietary Parallax Six-Factor Framework and market pricing as of October 10, 2026. Past factor performance is no guarantee of future returns.

    This material is educational and general in nature. It is not individualized investment advice, an offer, or a recommendation to buy, sell, or hold any security.

    Related research

    The Six-Factor Frameworkanalysis

    Goldman's 39% EPS Surge vs. JPMorgan's $2.7B Credit Drag: Factor Attribution of the Bank Earnings Wedge, Deposit Beta Asymmetry, and Capital Markets Quality Across the Six-Factor Framework

    Goldman Sachs posted a 39% EPS surge driven by record equities financing, while JPMorgan absorbed $2.7B in credit costs and deposit migration. We attribute the resulting financial factor wedge across the Parallax Six-Factor Framework: Value, Quality, Momentum, Defensive, Size, and Tactical allocation.

    Oct 13, 202611 min read
    The Six-Factor Frameworkanalysis

    KOSPI's 5.0% Plunge Below 200-Day SMA: Factor Attribution of Global Semiconductor De-Grossing, Memory Margin Deflation, and EM Portfolio Risk Across the Six-Factor Framework

    South Korea's KOSPI plunged 5.0% below its 200-day SMA as Samsung and SK Hynix broke down. We attribute cross-border semiconductor factor contagion, memory pricing deflation, and foreign institutional de-grossing across the Parallax Six-Factor Framework: Value, Quality, Momentum, Defensive, Size, and Tactical.

    Oct 13, 202613 min read
    The Six-Factor Frameworkanalysis

    UnitedHealth's 88.4% MLR Beat & $20.50 Guidance Raise: Factor Attribution of the Defensive Resurgence, Healthcare Pricing Power, and Low-Beta Quality Allocation Across the Six-Factor Framework

    UnitedHealth posted Q3 adjusted EPS of $4.69 and lowered its Medical Care Ratio to 88.4%, raising FY26 guidance to at least $20.50. We analyze the resulting factor rotation across the Parallax Six-Factor Framework: Value, Quality, Momentum, Defensive, Size, and Tactical allocation amid 5.24% Treasury yields.

    Oct 13, 202618 min read
    ParallaxBy Chicago Global

    Quantitative investment analytics platform for institutional and accredited investors.

    Theme:

    Product

    • Features
    • Technology
    • Pricing
    • Comparison
    • Parallax MCP
    • Docs

    Insights

    • Blog
    • Research
    • Media
    • Use Cases
    • AI Team

    Company

    • Chicago Global
    • About Us
    • Contact
    • Login
    © 2026 Chicago Global Capital Pte. Ltd.
    UEN: 201734851Z·30 Cecil Street #16-08, Singapore 049712
    TermsPrivacyDisclaimers

    Past performance does not guarantee future results. All investments involve risk of loss. See our Terms of Service for complete information.