GEMBRIDGE CAPITAL
Global Emerging Markets Credit Strategy
25 August 2026

Executive Summary: A Democratic “blue wave” – control of both the House and Senate after the 3 November 2026 US midterms through the 2028 presidential election – would be a major political setback for President Trump but would not immediately end his policy programme, shifting the final two years from legislative execution toward executive action, litigation and political defense. Prediction markets point to a coinflip chance of this happening. For emerging markets, the theme matters less through US domestic politics than through three dominant external channels that drive EM returns: the US dollar, US real yields and the Treasury curve, and trade/tariff policy. The central thesis remains selective rather than outright negative, but the balance of risks is less supportive than current market pricing may imply. Constrained tariffs, lower front-end and intermediate US yields and a softer medium-term dollar could support EM local-currency debt, hard-currency sovereigns and trade-geared economies, provided US growth slows gently rather than abruptly. However, persistent political uncertainty, episodic risk-off shocks and a structurally elevated term premium are likely to cap upside and create a more volatile backdrop than in earlier easing cycles. The offset is that episodic risk-off from oversight, shutdown or constitutional-crisis headlines still triggers sharp, correlated EM drawdowns and spread widening, making this a high-dispersion credit landscape best expressed with quality and liquidity discipline.

Market Visualizer

EXHIBIT 1  ·  The “Blue Wave” Pivot: Policy & Market Impact Map

Analyst judgments on structural shifts and financial-market transmissions – governance/policy execution vs. asset impacts, with the policy-pillar matrix and market-implied sweep probability (~47%, peaked >50% then consolidated in the mid-40s). Source: Gembridge Capital analysis.

A DEMOCRATIC BLUE WAVE: THE EM CREDIT READ-THROUGH

The Regime Shift: From Policy Execution to Policy Defense

  • Loss of the legislative machine: A full sweep hands Democrats committees, subpoenas, the legislative calendar, appropriations, agency oversight, Senate confirmations and the power to initiate impeachment – but not a veto-proof majority or the executive, so Trump remains president until January 2029 absent resignation, removal or incapacity. The mechanism is a pivot from durable legislation to reversible executive action, lowering the capitalised value of policy even when announced forcefully and increasing uncertainty around policy durability, investment decisions and corporate risk-taking.
  • Executive action is fast but fragile: Orders and existing statutory authorities can be deployed quickly, but they are litigation-exposed and reversible; the February 2026 Supreme Court ruling that IEEPA does not authorize tariffs already forces reliance on the narrower, more procedural Sections 232 and 301, which require investigations and defined rationales.
  • Durability discount: The new equilibrium is divided government with unusually intense institutional conflict – narrower, more legally contested and less durable policymaking – raising execution risk and the probability of selective U-turns, particularly where policies are economically costly, legally vulnerable or funding-dependent.
  • Credit implication: A transition away from reflation and deregulation may support parts of investment-grade credit through lower rates, although any benefit could be moderated by slower growth, weaker confidence and elevated policy uncertainty, but more challenging for leveraged borrowers, private credit and policy-sensitive sectors, where lower policy durability and higher litigation risk widen risk premia.

Policy Pillars Under Constraint

  • Tariffs – highest U-turn probability: With IEEPA rejected and reliance shifted to Sections 232/301, a Democratic Congress can hold cost-of-tariff hearings, restrict implementation appropriations and probe exemptions, raising the odds of a tactical U-turn from universal to targeted tariffs, quotas or bilateral deals. This lowers the probability of an unconstrained tariff-inflation shock, offering relative relief for retailers, consumer-goods importers, tech-hardware supply chains, import-dependent industrials, selected Asian and LatAm exporters, long-duration equities and intermediate Treasuries, although sector-specific disruption, policy reversals and trade uncertainty remain material risks.
  • Tax – momentum freeze, not reversal: New broad-based cuts become highly unlikely and expiring provisions may lapse, but repeal over a veto needs two-thirds majorities (implausible), so the result is a freeze. Markets look to 2028, pricing higher corporate and high-income taxation, stronger minimum taxes, tighter carried-interest treatment and greater digital-asset taxation – a multiple-compression risk for banks, PE managers and domestically tax-sensitive names.
  • Deregulation and immigration – slower, funding-constrained: Enforcement discretion continues, but Senate delay of nominees and committee oversight slow rulemaking and lower confidence that deregulation survives beyond 2028 (most exposed: banks/regional lenders, private credit/PE, fossil-fuel producers, tech platforms, contractors, crypto issuers, healthcare/pharma). Immigration authority survives, but appropriations can restrict detention capacity; quiet operational moderation is disinflationary for services and mildly supportive of potential growth.
  • Fiscal – less expansion, more confrontation: The starting point is weak – CBO’s February 2026 baseline projected a $1.9tn FY2026 deficit (5.8% of GDP), with public debt rising from 101% of GDP in 2026 to 120% in 2036, and later tracking closer to $2.1tn. A sweep curbs unfunded stimulus but raises shutdown, delayed-appropriations and debt-ceiling risk, keeping a structural bid under the long-end term premium and real-asset hedges while increasing the potential for periodic volatility linked to fiscal confrontation and budget negotiations.

Policy Execution Matrix

Trump policy pillar Blue-wave effect Probability of U-turn Primary market transmission
Broad tariffs Material constraint High for universal tariffs; lower for targeted tariffs Lower goods inflation; weaker USD; relief for importers
Tax reductions New cuts blocked Low for enacted measures; high for future proposals Less earnings upside; modestly lower deficits
Deregulation Slower but not fully reversed Medium Pressure on banks, energy and private capital
Immigration restrictions Continues through executive authority, but funding constrained Medium Labor supply, wages and services inflation
Fiscal expansion New initiatives constrained; shutdown risk rises Medium Lower near-term growth, persistent term premium
Energy dominance Legislative expansion blocked; permits and enforcement continue Low-to-medium Higher policy risk for oil and gas
Foreign policy and sanctions Executive retains substantial authority Low Continued geopolitical and commodity volatility
Crypto liberalization Greater oversight and legislative resistance Medium-to-high Negative for speculative tokens and crypto intermediaries

Oversight, Impeachment Risk and the Response Function

  • Oversight is the base case: A Democratic House gains subpoena, hearing and investigation powers reportedly targeting self-dealing, foreign influence, contracts, pardons and crypto interests – impairing governing capacity even without impeachment by consuming bandwidth, deterring counterparties and prompting resignations. Markets respond to impairment of execution, not merely legal entitlement to office, particularly when prolonged investigations create uncertainty around fiscal negotiations, regulatory implementation and policy continuity.
  • The arithmetic of removal: Impeachment needs only a simple House majority (moderate probability), but conviction requires two-thirds of the Senate (low). The probability ladder below ranks extensive investigations “very high,” a Judiciary inquiry “moderate-to-high,” and conviction/removal and resignation “low”/”very low” – so policy paralysis without removal (“high”) is the most market-relevant outcome.
  • Trump’s three response paths: Confrontation (resist subpoenas, litigate, weaponise shutdown fights) is most disruptive – higher volatility, demand for cash/USD/Treasuries, wider spreads, stronger gold, mixed Bitcoin. Selective accommodation (negotiate budgets, infrastructure, industrial policy) is most market-friendly. A tactical U-turn recalibrates the costliest, legally weakest policies, presented as success rather than reversal.
  • Asymmetry for credit: The higher the congressional and judicial constraint, the greater the odds Trump substitutes symbolic confrontation for economically costly implementation – a channel through which risk assets can rally even as rhetoric hardens, while evidence peeling away Republican senators or forcing senior resignations is the true tail-risk trigger for spread widening.

Probability Ladder

Event Qualitative probability after blue wave Assessment
Extensive investigations Very high Central Democratic strategy
Judiciary Committee inquiry Moderate-to-high Depends on evidence and leadership strategy
House impeachment Moderate Simple majority is sufficient
Senate trial High if House impeaches Follows transmission of articles, subject to procedure
Senate conviction and removal Low Requires substantial Republican support
Trump resignation Very low Would require severe legal or political isolation
Policy paralysis without removal High Most plausible market-relevant outcome

Rates, the Dollar and the Debasement Regime

  • Cyclical inflation trade weakens: As of the July 2026 Monetary Policy Report, headline PCE reached 4.1% y/y in May and core PCE 3.4%, with tariffs and the Middle East energy shock adding pressure and minutes flagging possible further tightening. A sweep that constrains additional tariffs and tax cuts lowers medium-term inflation expectations and creates room for eventual easing if growth weakens, although markets may increasingly interpret future rate cuts as a response to deteriorating growth conditions rather than a clean inflation victory.
  • Structural debasement trade persists: With mandatory spending and interest costs driving the deficit regardless of party, there is no decisive end to the US debasement narrative, keeping a structural bid under the long-end term premium; the net is lower 2-10y yields with a re-steepening long end.
  • Curve and credit positioning: Favor lower 2y/5y/10y yields and eventual 10s30s steepening – preferring 5-10y duration over an outright 30y long. IG should remain relatively resilient as rates decline, although lower yields alone may not prevent wider risk premia if growth disappoints or fiscal confrontations intensify; HY is mixed, with a preferred order of intermediate IG, strong BB, defensive EM duration, select bank senior, then loans/private credit only with strong coverage.
  • FX and real assets: The USD firms briefly on risk aversion then weakens as gridlock slows growth and eases policy; gold remains the cleanest debasement hedge, Bitcoin sees an initial regulatory sell-off then recovery if debasement persists, while altcoins/DeFi are most vulnerable to tighter enforcement.

Emerging Markets: Transmission, Winners and Losers

    • The dollar is the dominant signal: An initial safe-haven bid could briefly tighten EM financial conditions, but the more durable move – a softer dollar on slower US growth, constrained tariffs and eventual Fed easing – has historically been supportive for EM, easing financial conditions, supporting local FX and lowering hard-currency debt-service burdens, although the benefit could prove smaller than in prior cycles if dollar weakness is driven primarily by slowing US growth rather than improving global risk appetite.
    • Real yields and the curve: Lower 2-10y US yields and reduced breakevens compress the risk-free component of EM hard-currency spreads and improve refinancing math for well-run sovereigns and quasi-sovereigns, though tighter financial conditions and weaker growth could still offset part of that benefit; the caveat is a persistent long-end term premium that caps how far EM long duration can rally and leaves EM exposed to any disorderly 30-year Treasury sell-off.
    • Trade and tariffs: A shift from universal to targeted, negotiated measures reduces the tariff-inflation shock and creates clearer bilateral frameworks that offer relative support to open, export-geared EMs and manufacturing supply-chain hubs, although softer global demand may limit those gains; commodity exporters remain exposed to a growth setback, while importers benefit only if tariff-driven price pressure fades.

The Three Transmission Channels

Channel Blue-wave effect EM transmission
US dollar Brief risk-off strength, then medium-term softening on slower growth and eventual Fed easing A weaker USD eases EM financial conditions, supports local FX, lowers hard-currency debt-service burdens and typically drives EM inflows
US real yields & curve Lower 2-10y yields and reduced breakevens; long-end term premium persists Lower front-end/belly yields improve EM carry and duration; a steep long end keeps the tail risk of a disorderly UST sell-off spilling into EM
Tariffs & trade Universal tariffs constrained; shift to targeted, negotiated measures Reduced tariff-inflation shock and clearer bilateral frameworks benefit open, export-geared EMs and manufacturing supply-chain hubs
Commodities Continued geopolitical/sanctions volatility; energy price risk two-sided Commodity exporters gain on firm energy/metals; importers benefit if tariff-driven price pressure fades
Risk sentiment Higher US political-headline volatility (oversight, shutdown, crisis tail) Episodic correlated risk-off, spread widening and outflows – a discipline constraint, not a reason to be structurally short EM

EM Winners and Losers

EM segment Bias Rationale
Trade-geared Asian & LatAm exporters Winner Tariff de-escalation and clearer bilateral frameworks; supply-chain relocation beneficiaries
High-real-yield local-currency markets (credible central banks) Winner Softer USD and US disinflation create room to ease; attractive carry with FX tailwind
IG & strong-BB EM sovereigns / quasi-sovereigns Winner Lower front-end/belly US yields compress spreads and ease refinancing
Commodity exporters (energy & metals) Mixed Gain from firm commodity prices and geopolitics; exposed if global growth slows sharply
Weak-external-balance, high-refinancing-need frontier credits Loser Most exposed to risk-off episodes, wider spreads and a disorderly long-end UST sell-off
Heavily commodity-import-dependent economies Loser Vulnerable if energy/food prices stay high; thinner buffers against external shocks

Scenario Analysis

Scenario Probability bias Trump execution capacity Market regime
Democratic House; Republican Senate Most plausible Legislation blocked; executive action remains strong; investigations intensify Gridlock, moderate volatility, duration-positive
Full blue wave; no impeachment Meaningful alternative Confirmations and legislation constrained; heavy oversight Lower yields and a softer USD, though accompanied by weaker growth expectations and elevated political uncertainty
Blue wave plus House impeachment Tail but credible Severe political distraction; executive actions continue Risk-off initially; gold and Treasuries outperform
Impeachment plus credible Senate conviction risk Low-probability tail Administration potentially paralyzed Sharp volatility, credit widening, USD path ambiguous
Blue wave prompts Trump moderation Underpriced upside More negotiated and targeted policy Bullish equities and credit; bearish inflation premium
Confrontation and constitutional crisis Low-frequency, high-impact Execution shifts to courts and emergency authority Gold up, risk assets down, long-end Treasury volatility

Credit / Investment Implications
The blue-wave shock works by substituting durable legislation for reversible executive action under intensifying oversight, lowering the policy premium while leaving the structural fiscal-debasement problem unresolved. The impact is asymmetric: cyclical inflation and tariff risk fall (bullish the front end, IG and EM carry), but the long-end term premium is sticky and headline-driven risk-off can widen spreads regardless of fundamentals – so weak frontier and leveraged credit are the most exposed segments, making this a selective rather than outright constructive backdrop for EM. Opportunities remain in higher-quality credits and stronger sovereign balance sheets, but discipline, liquidity management and issuer selection are likely to matter more than broad beta exposure.

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Own quality EM duration: favor defensive EM sovereign and quasi-sovereign hard-currency duration in IG and strong-BB names, where lower front-end/belly US yields compress spreads and ease refinancing; keep dry powder for headline-driven spread-widening entry points.
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Underweight weak-external-balance, high-refinancing-need frontier credits and heavily commodity-import-dependent economies most exposed to a disorderly 30-year Treasury sell-off.
References: Bloomberg (PLYMC2A4 Index, KALSXLJF Index); Polymarket; Kalshi; CBO (Feb 2026 baseline); Federal Reserve (July 2026 Monetary Policy Report); US Supreme Court (Feb 2026 IEEPA ruling); Morgan Stanley; Schwab; usnews.com; politico.com; cov.com; senate.gov; congress.gov; usa.gov; taxfoundation.org; molawyersmedia.com; cbo.gov; foxbusiness.com; thehill.com; crfb.org; budget.house.gov; factually.co; usatoday.com; federalreserve.gov; cnbc.com.

GEMBRIDGE CAPITAL
www.gembridgecapital.com


DISCLAIMER

This document is strictly confidential and is being provided to you for informational purposes only. It does not constitute an offer to sell or a solicitation of an offer to buy any securities or financial instruments. The information contained herein has been obtained from sources believed to be reliable but is not guaranteed as to accuracy or completeness. Opinions and estimates constitute our judgment as of the date of this material and are subject to change without notice.

AI Generation Notice: Portions of this content may have been generated or assisted by Artificial Intelligence (AI) technologies. Users should independently verify critical data points. Past performance is not indicative of future results.

© 2026 Gembridge Capital. All rights reserved.
GEMBRIDGE CAPITAL
Global Emerging Markets Credit Strategy
June 2026

Executive Summary: NOAA – the National Oceanic and Atmospheric Administration, a U.S. scientific agency that studies and predicts changes in weather, climate, oceans, and coasts while managing marine and coastal resources – has officially declared El Niño with a 63% probability of a Super El Niño, marking one of the fastest regime shifts on record and setting up a highly nonlinear global macro shock into 2H 2026 and early 2027. The event interacts with already tight commodity markets and ongoing geopolitical disruptions, amplifying transmission through food inflation, energy systems, logistics bottlenecks, and commodity supply shocks. Emerging markets face asymmetric exposure via inflation, fiscal stress, and external balances, while select sectors benefit from price spikes and benign insurance loss dynamics. The resulting environment creates a high-dispersion credit landscape with pronounced winners and losers across sovereign and corporate risk.

Market Visualizer




SUPER EL NIÑO: THE CLIMATE RISK TRADE

Theme Setup and Probability Skew

  • Rapid regime shift: Sea surface temperatures flipped from La Niña conditions in March 2026 to El Niño by June 11, setting a record pace and signaling an aggressive thermal buildup that historically correlates with stronger downstream climate shocks.
  • Super El Niño probability: NOAA assigns a 63% probability of ≥+2.0°C by NDJ 2026–27, while some sell side research forecasts a 60% probability of strong-plus events, implying elevated tail risk for severe macro and credit dislocations.
  • Subsurface heat reservoir: Temperature anomalies exceeding +6°C below surface levels provide a structural driver of sustained warming, increasing persistence into 1Q 2027 and deepening economic transmission.
  • Upper-tail scenario risk: Some models exceed historical intensities seen in the past 80 years, suggesting potential nonlinear impacts that surpass prior episodes such as 2015–16.
  • Compounding macro backdrop: Elevated energy prices linked to Iran/Strait of Hormuz tensions increase cost-push inflation risks, reinforcing El Niño’s supply-side shock across EM economies.

Historical Precedent and Structural Differences

  • Growth destruction magnitude: The 2015–16 El Niño reduced global output by an estimated $3.9tn over five years, highlighting the medium-term persistence of climate shocks beyond initial weather effects.
  • Country-level losses: Peru experienced GDP losses of 6.2–11.6% during past strong events, underscoring sovereign vulnerability in directly exposed coastal economies.
  • Commodity disruption track record: The 2015–16 event disrupted ~90kt of copper supply and forced ~300kt aluminium curtailments, demonstrating sensitivity in industrial metals supply chains.
  • Food shock evidence: India’s monsoon decline of −13.8% in 2015–16 drove food inflation to 6.2%, illustrating transmission from weather to CPI and policy tightening risks.
  • Current cycle tighter starting point: Unlike prior cycles, the 2026 copper market already faces a 300–400kt deficit, amplifying price sensitivity and credit implications from supply disruptions.

Macro Transmission Channels to Credit

  • Nonlinear inflation response: Sell side models show inflation more than doubles moving from mild to strong El Niño, with peak effects lagging 4–8 months into H2 2026, creating delayed policy pressure.
  • Food CPI transmission: With food comprising 10–35% of EM CPI baskets, any supply shock feeds directly into headline inflation, tightening financial conditions and pressuring sovereign credit.
  • Hydro-to-thermal switching: Drought reduces hydro output (e.g., Colombia 60–70% hydro dependence), forcing coal and LNG substitution at higher costs, weakening utility balance sheets and fiscal positions.
  • Commodity price amplification: Chile’s 4.2mt copper production (17% global share) faces flood risk, where even a one-week outage (~80kt) materially tightens markets and boosts price-driven earnings volatility.
  • Logistics disruption: Panama Canal throughput fell ~29% in 2024 during prior El Niño, indicating global shipping constraints that raise freight costs and delay supply chains, impacting corporate cash flows.

Sovereign Credit Differentiation

  • Peru stress case: Direct ocean exposure, fisheries disruption, and historical GDP losses up to 11.6% position Peru as the highest-risk EM sovereign under a super El Niño scenario.
  • India inflation risk: With an 84% probability of sub-normal monsoon, food inflation could breach the RBI’s 6% ceiling, driving fiscal slippage via INR500bn+ fertilizer subsidies.
  • Colombia hydro vulnerability: Heavy reliance on hydropower combined with drought risks increases electricity prices and adds ~465bps to inflation during strong events, complicating monetary policy.
  • Argentina upside skew: Soy yields improve ~+7.7% per degree of warming and maize output can rise ~6mt, supporting GDP (+0.31pp) and fiscal revenues via export taxes.
  • Panama risk timing: While 2026 conditions remain strong with $5.7bn revenues, the 2027 dry season presents a key inflection point for canal revenue and sovereign balance implications.

Sectoral and Corporate Credit Impacts

  • Agriculture input inflation: Cocoa prices previously exceeded $10,000/t and remain volatile, pressuring margins for processors and driving working capital expansion.
  • Hydro utilities stress: EBITDA compression emerges as hydro shortfalls force thermal imports at higher marginal costs, particularly in Colombia, Ecuador, and Zambia.
  • Metals upside asymmetry: Aluminium curtailments up to 1.3mt in Yunnan and 2.5mt already offline from Iran disruptions support price upside.
  • Insurance earnings boost: Reduced hurricanes (−31%) and storms result in 14–20% lower global insured losses, implying $21–31bn pre-tax benefits for insurers.
  • Aquaculture margin pressure: Fishmeal price spikes (~$2,500/mt) increase feed costs (40–45% of production), compressing margins for salmon producers unless offset via pricing.

Credit / Investment Implications
The Super El Niño shock is inherently nonlinear, with simultaneous supply disruptions across food, energy, and commodities amplifying inflation and compressing real incomes in EM. The asymmetric nature of exposure creates divergence, with import-dependent and hydro-reliant economies facing stress while commodity exporters and select corporates benefit. The interaction with tight commodity markets and geopolitical energy shocks increases the probability of outsized spread moves.

  • Overweight commodity beneficiaries (thermal coal, aluminium, copper) where supply disruptions translate directly into EBITDA uplift of 3–17% per 10% price move.
  • Underweight hydro-dependent sovereigns and utilities where drought-driven generation costs materially weaken fiscal and credit metrics.
  • Position for insurance earnings upside but anticipate reinsurance pricing softening due to reduced loss environment and excess capital supply.

References: Barclays Cross-Asset Research (2026); Barclays EM Weekly (2026); JPM South America (2026); JPM Andeans (2026); JPM Rumo (2026); BBVA Research (2026); Bloomberg Businessweek; NOAA CPC (2026); WMO (2026); IFFO; Tridge; IndexBox; CareEdge; Prabhudas Lilladher.

GEMBRIDGE CAPITAL
www.gembridgecapital.com


DISCLAIMER

This document is strictly confidential and is being provided to you for informational purposes only. It does not constitute an offer to sell or a solicitation of an offer to buy any securities or financial instruments. The information contained herein has been obtained from sources believed to be reliable but is not guaranteed as to accuracy or completeness. Opinions and estimates constitute our judgment as of the date of this material and are subject to change without notice.

AI Generation Notice: Portions of this content may have been generated or assisted by Artificial Intelligence (AI) technologies. Users should independently verify critical data points. Past performance is not indicative of future results.

© 2026 Gembridge Capital. All rights reserved.
GEMBRIDGE CAPITAL
Global Emerging Markets Credit Strategy
Week Ending: 3 February 2026

Executive Summary: This week’s special focus examines the seven-decade trajectory of US-Iran relations, culminating in current tensions following Trump’s naval deployment amid Iran’s domestic protests and ongoing nuclear disputes. Understanding this historical context is critical for assessing sovereign credit risks and regional market volatility.

Market Visualizer

US-Iran Tensions Infographic

*US-Iran Tensions: 70-Year Timeline & Market Impact*

⚠️ Special Topic: US-Iran Tensions Timeline

US-Iran tensions trace back over 70 years, with granular milestones from the 1953 coup to Trump’s 2026 naval deployment amid Iran’s protests and nuclear disputes.

1950s: Coup and Early Ties

  • 1951: Iran’s parliament nationalizes oil from British control, led by PM Mohammad Mosaddegh.
  • 1953: US/UK Operation Ajax overthrows Mosaddegh, reinstating Shah Mohammad Reza Pahlavi.
  • 1957: US signs nuclear cooperation deal under “Atoms for Peace.”

1960s-1970s: Arms and Revolution Buildup

  • 1968: Both nations sign Nuclear Non-Proliferation Treaty.
  • 1972: Nixon pledges unlimited conventional arms to Shah.
  • 1979 Jan: Shah flees amid Islamic Revolution protests.
  • 1979 Feb-Apr: Ayatollah Khomeini returns; Iran becomes Islamic Republic.
  • 1979 Nov: Students seize US embassy, taking 52 hostages.

1980s: Hostage Crisis and War

  • 1980 Apr: Failed US Operation Eagle Claw kills 8 servicemen; ties severed.
  • 1980 Sep: Iraq invades Iran; US backs Iraq despite chemical weapons.
  • 1981 Jan: Hostages released after 444 days via Algiers Accords.
  • 1984: US labels Iran state terrorism sponsor.
  • 1986: Iran-Contra scandal exposed.
  • 1988 Jul: USS Vincennes downs Iran Air 655, killing 290.

1990s-2000s: Sanctions and Nuclear Revelations

  • 1995-96: Clinton imposes oil/trade bans, Iran-Libya Sanctions Act.
  • 2002 Jan: Bush’s “axis of evil” speech.
  • 2002 Aug: Natanz, Arak sites revealed.
  • 2003: Iran suspends enrichment, allows IAEA inspections.
  • 2007: US intel says Iran halted weapons program in 2003.
  • 2009: Fordow enrichment site exposed by US/UK/France.

2010s: JCPOA and Withdrawal

  • 2013: Obama-Rouhani call; interim Joint Plan of Action signed.
  • 2015 Jul: JCPOA limits Iran to 3.7% enrichment, 300kg stockpile.
  • 2018 May: Trump withdraws, restores sanctions.

2020s: Strikes, Talks, Protests

  • 2019: IRGC designated terrorist group.
  • 2020 Jan: US drone kills Qasem Soleimani; Iran missiles US bases.
  • 2021: Biden Vienna talks fail.
  • 2023: Prisoner swap releases $6B Iranian funds.
  • 2025 Feb-Jun: Trump demands new deal; US/Israel strike Fordow/Natanz/Isfahan; Iran hits Qatar base.
  • 2025 Dec: Protests erupt over currency collapse, demanding Khamenei ouster.
  • 2026 Jan: Crackdown kills ~6,000, arrests 26,000+; Trump deploys USS Abraham Lincoln fleet to Gulf, threatens action.

Credit Market Implications
The current US-Iran escalation introduces notable risks to regional sovereign and corporate credits in emerging markets. Investors should closely track:

  • Oil price volatility and its effects on Gulf sovereign spreads.
  • Prospective sanctions expansions impacting regional banks and trade finance.
  • Safe-haven flows into higher-quality EM credit.
  • Contagion to other USD-denominated Middle East sovereign credits if conflict broadens.

Binary Event Risk
Potentially a binary event in the coming weeks: US military action against Iran (risking selloff) or Iran agreeing to a new nuclear treaty (risking rally).

GEMBRIDGE CAPITAL
www.gembridgecapital.com


DISCLAIMER

This document is strictly confidential and is being provided to you for informational purposes only. It does not constitute an offer to sell or a solicitation of an offer to buy any securities or financial instruments. The information contained herein has been obtained from sources believed to be reliable but is not guaranteed as to accuracy or completeness. Opinions and estimates constitute our judgment as of the date of this material and are subject to change without notice.

AI Generation Notice: Portions of this content may have been generated or assisted by Artificial Intelligence (AI) technologies. Users should independently verify critical data points. Past performance is not indicative of future results.

© 2025 Gembridge Capital. All rights reserved.

GEMBRIDGE CAPITAL

2026 Strategy

AI-led insights into emerging market credit

January 11, 2026

The global investment landscape for 2026 is defined by a transition into a regime of high dispersion, characterized by structural technological disruption and geopolitical fragmentation. While inflationary shocks have receded, the divergence between proactive emerging markets (EM) and those in systemic debt distress creates a fertile environment for alpha generation. This AI-generated analysis integrates corrections to election cycles, commodity valuations, and the renewed U.S. emphasis on tariffs and bilateral bargaining.

Watch: AI-Generated Market Analysis

1. Illustrative 2026 Political Risk Calendar

Note: Election dates reflect official commissions as of January 11, 2026.

Region Country Election Type Timing (2026) Market Outlook
Asia Thailand General February 8 Focus on populist stimulus and Shinawatra influence.
Asia Bangladesh General February 12 First polls post-Hasina; includes “July Charter” referendum.
LatAm Peru General April 12 Mineral extraction vs. populism; chronic turnover risk.
LatAm Colombia Presidential May 31 Referendum on the “Petro era”; center-right gain is a catalyst.
Africa Ethiopia General June 1 Internal security concerns; state-led reconstruction.
Africa Zambia General August 13 IMF-anchored orthodoxy vs. resurgent populism.
LatAm Brazil General Oct 4 & 25 High uncertainty; fiscal rule debate is the key beta driver.
W. Europe France Municipal March 15 & 22 Macron’s bloc under pressure; focus on local fiscal health.

Key Insight: Sovereign Spread Volatility

Brazil and Colombia exhibit the highest beta to political headlines. Brazilian USD spreads have historically widened by 100-200 bps during contested cycles where fiscal rules are debated.

2. Sovereign Liability Management and the Restructuring Cycle

The “Sweet Spot” for tactical opportunity lies in B and CCC-rated sovereigns that completed restructurings between 2023-2025.

🇺🇦 Ukraine

Concluded a major restructuring of $20.5bn in bonds (Sept 2024) with a ~37% principal haircut. Prices reached post-restructuring highs of 70+ in late 2025 on peace optimism.

🇱🇰 Sri Lanka

Completed restructuring in Dec 2024 with a 35-40% NPV reduction and 98% participation.

🇦🇷 Argentina

Under Milei, the U.S. Treasury established a support facility reported up to $20B, with discussions of expansion toward $40B as policy shifts accelerate.

SDG Pressure Point

Per OECD projections, approximately 92 countries spent more on external debt service in 2024 than on non-climate Sustainable Development Goal (SDG) investments.

3. The Structural Shift: EV Transition and Tech Debt

EV Market Adoption

Global plug-in sales reached nearly 22 million units in 2025 (~25% market share). China notably exceeded a 50% EV sales share in late 2025.

The Oracle Proxy: Tech Debt Risk

Tech sector bond supply remains high. Oracle (ORCL) is the primary risk proxy for AI-driven leverage:

Total Debt

Ballooned to $131.7 billion as of the Nov 30, 2025, quarter due to massive AI CapEx.

Credit Risk

Barclays has flagged a potential downgrade to BBB- and cash exhaustion risk by Nov 2026 if revenue does not scale to match current infrastructure spending.

4. Revised Commodity Bull Cycle (2025-2026)

Projections reflect 2025 realized peaks and updated January 2026 house forecasts.

Commodity 2025 Peak/Avg 2026 Projection Strategic Driver
Gold $4,549/oz $5,050/oz (H1) Geopolitical anchor; rising global debt.
Silver ~$70/oz $68 – $75/oz Industrial demand vs. 150% gain in 2025.
Copper ~$5.90/lb $4.50 – $5.00/lb Grid modernization; structural deficit.
Uranium $83/lb $93/lb Nuclear energy revival; supply crunch.

5. Geopolitical Spheres: The “Trumpian” Influence

🇻🇪 Venezuela

Following Operation Absolute Resolve (January 3, 2026) and the removal of Maduro, sovereign and PDVSA bonds surged from distressed single digits to the 35-45 cent range as markets priced in a restructuring path.

🇨🇴 Colombia: BRI Alignment

Formally joined the Belt and Road Initiative (BRI) in May 2025, deepening ties with China amidst a diplomatic crisis with the U.S.

🇧🇷 Brazil: Tariff Complexity

Faces a 50% total tariff (stacking a 40% reciprocal duty) imposed by the U.S. in mid-2025. However, Annex I carve-outs (modified Nov 2025) exempt roughly 44% of export volume, including iron ore, crude oil, and civil aviation.

6. Regional Real Estate and Corporate Resilience

Hong Kong Property

Shifting to a “volume-led” recovery. Developers face 27,000 unsold units, but rental yields for small units (Class A) have stabilized near 3.7%.

Brazil Corporates

Despite sovereign fiscal rigidity, JBS, Vale, and Itaú show robust fundamentals. Approximately 60% of Brazilian corporate debt remains Selic-linked, making 2026 rate cuts a primary catalyst for credit rotation.

Investment Thesis

The high dispersion environment of 2026 favors active managers with deep regional expertise. Focus areas include:

  • Post-restructuring sovereigns with improving fundamentals (Ukraine, Sri Lanka, Argentina)
  • Corporate credit in EM countries with high policy rates entering easing cycles (Brazil, Colombia)
  • Commodity-linked exposures benefiting from structural deficits and geopolitical premiums
  • Technology sector credit with careful attention to refinancing risk and AI capex sustainability

References & Data Sources

Gembridge Capital

Singapore-based emerging markets credit hedge fund specializing in sovereign and corporate debt strategies.

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Disclaimer: This report is generated primarily by artificial intelligence and may contain errors, inaccuracies, or outdated information. Users should exercise extreme caution and independently verify all data and analysis before making any decisions. This content is for informational purposes only and does not constitute investment advice. The information contained herein is based on sources believed to be reliable, but Gembridge Capital makes no representation or warranty as to its accuracy or completeness. Past performance is not indicative of future results. Investing in emerging market securities involves substantial risk, including the risk of loss of principal. Investors should conduct their own due diligence and consult with qualified financial advisors before making any investment decisions.

Gembridge Machine-Written Monitor

23 November 2025
EM Credit Strategy | AI Reporting Desk
✦ Powered by state-of-the-art AI research tools and advanced data synthesis technology.

The December Paradox: Structural Seasonality in EM Sovereign Credit

Executive Summary
The prevailing market narrative regarding Emerging Market (EM) credit suggests that December is a “soft market”—defined by widening bid-ask spreads and a cessation of price discovery. However, a forensic analysis of nearly two decades of data from the iShares J.P. Morgan USD Emerging Markets Bond ETF (EMB) indicates this hypothesis is inconsistent with historical volume and volatility patterns [1, 2, 3]. The data reveals that while liquidity often thins, this scarcity frequently amplifies, rather than dampens, directional volatility [13].

1. Liquidity Analysis: Crisis vs. Normalcy

Historical volume analysis challenges the assumption of a dormant December market. While the “Ski Lodge” theory suggests a universal decline in activity, the data reveals a bifurcated liquidity landscape depending on the macro environment [15]. In “Normal Years” (such as 2019, 2022, 2023, and 2024), trading volume does indeed contract by approximately 10-40% relative to the January-November average [17].

December Liquidity Analysis

Figure 1: December Liquidity – Drought or Flood? Analysis highlights the volume disparity. While benign years see volume drops, crisis years record massive spikes: +116% in 2008, +49% in 2014, and +53% in 2018.

However, during stress events, the “holiday” effect is negated. In 2008, following the global financial crisis, December volume spiked 116%. Similarly, during the 2014 oil shock, volume increased by 49%, and during the 2018 Fed tightening scare, it rose by 53%. This indicates that during regime changes, liquidity is available but comes at the cost of widened spreads due to high turnover.

2. Volatility Skew: The Cost of Liquidity

The relationship between market depth and price action in December exhibits high convexity. Quantitative analysis shows that while average liquidity depth decreases by roughly 18% (48M shares vs. a 59M average), the resulting returns are approximately 3x higher than the annual monthly average (1.28% vs 0.36%). This inverse relationship aligns with broader academic findings on liquidity constraints [12, 14].

The December Paradox Mechanism

Figure 2: The December Paradox Mechanism. The data illustrates an inverse correlation between liquidity depth and price impact. Thinner markets in December (Liquidity Dip ~18%) coincide with significantly higher average returns (1.28%), indicating that order flow has an outsized impact on price.

This “thinner market” dynamic means price discovery must travel further to find equilibrium. In 2014, this resulted in a price crash where the ETF opened at 66.87 and fell to a low of 62.08—a decline of over 7% in a single month.

3. “Window Dressing”: A Conditional Phenomenon

The data suggests that “Window Dressing”—the practice of bidding up assets at year-end—is highly correlated with the prevailing trend rather than serving as an independent catalyst [4, 6]. In bull markets, momentum tends to accelerate; in bear markets, it fails to materialize [5].

The Window Dressing Trap

Figure 3: The Window Dressing Trap. Performance data contradicts the reliability of the “Santa Rally” in down years. While 2008 saw a +17.2% rally and 2023 a +4.2% gain, bear market Decembers saw capitulation: -3.3% in 2014, -2.0% in 2015, and -1.7% in 2022.

As shown in Figure 3, the divergence is stark. In positive momentum years like 2023, December delivered a +4.2% return. Conversely, in years characterized by fundamental stress, such as 2014 and 2022, prices collapsed. This decline is likely exacerbated by tax-loss harvesting rather than window dressing, as investors sell losing positions to offset gains [8, 9, 11].

4. Long-Term Trajectory

Despite seasonal volatility, the long-term trend of the asset class remains constructive. The EMB ETF has recovered from a Global Financial Crisis low of $32.23 to reach an all-time high of $96.15 in November 2025 [1, 3].

EMB Long Term Ascent

Figure 4: EMB: The Long Ascent (2007-2025). The structural recovery from 2008 lows to 2025 highs (+200% recovery) highlights the long-term beta of the asset class, despite the recurrence of Q4 volatility.

Analytical Observations

Based on the statistical review of the 2007-2025 dataset, the following structural patterns emerge:

  • Volume Inversion: While November typically exhibits higher volume than December in the post-2016 era, this trend inverts during crisis years [16].
  • The January Effect Correlation: Data indicates a zero-sum relationship between December and January returns. Strong Decembers are often followed by flat or negative Januarys, while weak Decembers often precede January rebounds [18, 19].

5. Historical Performance Matrix

The heatmap below provides a granular visualization of the month-over-month percentage change for the EMB ETF over the past decades. This matrix highlights the seasonal clustering of volatility, particularly showcasing how December returns swing violently during crisis years (e.g., the +17.2% rebound in 2008 versus the -3.3% drop in 2014).

EMB Monthly Returns Heatmap

Figure 5: Historical Monthly Returns Matrix. A color-coded view of monthly performance, allowing for rapid identification of outliers and seasonal trends.
Data Caution: The pricing data visualized in the heatmap above has been extracted from open internet sources for illustrative purposes. Please read with caution, as third-party data usually contains potential errors, delays, or discrepancies compared to official exchange data.

References

AI Methodology & Risk Statement
This document is primarily generated by an artificial intelligence (AI) system for informational purposes. While Gembridge Capital utilizes advanced models to synthesize and analyze market data, AI systems are susceptible to “hallucinations”—the generation of plausible but factually incorrect or misleading information. Users should be aware that the analysis herein may contain unverified assertions or errors. This report serves as an automated market monitor and should not be relied upon as a primary basis for investment decisions without independent verification.

Gembridge Capital Management

Important Disclosures: The data presented is derived from historical analysis of the iShares J.P. Morgan USD Emerging Markets Bond ETF (EMB). This report does not constitute financial advice, a recommendation to buy or sell any securities, or a solicitation of any offer. Gembridge Capital makes no representation or warranty of any kind, express, implied or statutory regarding this document or any information contained or referred to in the document. Past performance is not indicative of comparable future results. All statistics cited are based on the provided dataset spanning 2007-2025.

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