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Analysis Report on the Impact of the Trump Administration's IEEPA Tariff Measures: A Panoramic View of Country, Industry, and Valuation Shocks

#tariff_policy #IEEPA #trade_war #geopolitical_risk #supply_chain #emerging_markets #sector_analysis #valuation_impact
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January 9, 2026

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Analysis Report on the Impact of the Trump Administration's IEEPA Tariff Measures: A Panoramic View of Country, Industry, and Valuation Shocks

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Based on the latest collected data and analysis, I will provide you with a systematic and comprehensive report analyzing the differentiated impacts of the Trump Administration’s IEEPA-based tariff measures on different countries and industries, as well as the potential shocks to corporate valuations.


I. Policy Framework and Legal Background of IEEPA Tariff Measures
1.1 Legal Basis for IEEPA Authorization

The International Emergency Economic Powers Act (IEEPA) was first passed in 1977, aiming to grant the President broad authority to regulate international economic activities during a national emergency[1]. On January 20, 2025, the Trump Administration issued the “America First Trade Policy” executive order, marking the official launch of the IEEPA tariff strategy[2].

Key Policy Timeline:

  • February 1, 2025
    : Trump declared a national emergency targeting China, Canada, and Mexico citing “fentanyl smuggling” and “trade deficits”, imposing 25% (later raised to 20%) and 25% tariffs respectively[1][3]
  • April 2, 2025
    : Announced “reciprocal tariffs” on almost all trading partners on “Liberation Day”, universally imposing a 10% benchmark tariff, with rates as high as 34%-50% for specific countries[1][4]
  • August 7, 2025
    : Reciprocal tariffs officially took effect after the 90-day suspension period expired[1]
  • August 29, 2025
    : Terminated the de minimis exemption for packages valued under $800[1]
  • November 5, 2025
    : The Supreme Court held oral arguments in the “Learning Resources v. Trump” case, with the ruling pending[1]
1.2 Current Tariff Rate Structure (As of January 2026)

According to the latest executive orders, tariff rates faced by different countries vary significantly[5][6]:

Country/Region Reciprocal Tariff Rate Composite Tariff Rate
Mainland China 34% ~47.5% (including previous measures)
Vietnam 46% ~20% (after negotiations)
EU 20% 15%
Japan 24% 15%
India 26% 50% (including punitive tariffs on Russian oil)
Mexico 25% Exempt under USMCA
Canada 35% Exempt under USMCA
Brazil 50% 50%
Taiwan 32% Semiconductor Exemption
South Korea 25% 15%
Bangladesh 37% 37%
Cambodia 49% 49%

II. Analysis of Most Vulnerable Countries
2.1 Classification of High-Vulnerability Countries

Based on differences in trade dependence, U.S. market share, and negotiating position, I classify the affected countries into four tiers:

Tier 1: Extremely High Vulnerability Countries
Country Vulnerability Indicators Core Risks
China
Exports to the U.S. account for ~3.8% of GDP; largest source of U.S. imports (13.4% of total U.S. imports)[7] Highest composite tariff rate (47.5%), combination of fentanyl tariffs and reciprocal tariffs; significant profit pressure on export enterprises; countermeasures via rare earth export controls[1][4]
Vietnam
Exports to the U.S. account for ~33% of GDP; manufacturing sector highly dependent on the U.S. market[6] Initial 46% tariff reduced to 20%, but facing 40% transshipment tariff risks; status as the top supply chain transfer destination challenged[6]
Mexico
Exports to the U.S. account for ~31% of GDP; core beneficiary of nearshoring[3] Complex game between 25% tariffs and USMCA exemption clauses; highly integrated automotive industry chain, with Ford, GM and other automakers warning of production disruptions[7][8]
Tier 2: High Vulnerability Countries
Country Vulnerability Indicators Core Risks
India
Exports to the U.S. account for ~6.5% of GDP; fourth-largest trading partner of the U.S.[5] 50% composite tariff rate (including 25% secondary tariff on Russian oil) severely erodes competitiveness; pharmaceuticals, textiles, and IT services sectors impacted[5]
Brazil
Exports to the U.S. are dominated by agricultural products and resources; moderate dependence on manufacturing exports[5] 50% tariff leads to surging export costs for soybeans and iron ore; rising political pressure from agricultural states[5]
Bangladesh
Textile sector highly dependent on the U.S. market (accounting for over 80% of exports)[6] 37% tariff directly hits garment exports; industry profit margins typically only 8-12%, making it difficult to fully pass on costs[6]
Cambodia
Garment manufacturing dominates; exports to the U.S. account for ~30% of GDP[6] One of the highest tariff rates at 49%, almost completely offsetting cost advantages[6]
Tier 3: Medium Vulnerability Countries
Country Vulnerability Indicators Core Risks
Japan
High-end manufacturing; exports to the U.S. dominated by automobiles and machinery[5] 24% reciprocal tariff can be partially absorbed via product upgrades; automotive industry has initiated cost transfer[5]
South Korea
Semiconductor and display sectors highly dependent on the U.S.[5] Differentiated impacts between 25% reciprocal tariffs and semiconductor exemptions; limited pressure on Samsung and SK Hynix[5]
Taiwan
Semiconductor sector accounts for ~15% of GDP[5] 32% reciprocal tariff but semiconductors are exempt; indirect impacts on IC design and testing sectors[5]
EU
Diversified economy; exports to the U.S. spread across multiple industries[5] 20% tariff is relatively moderate; differentiated impacts on luxury goods, automobiles, and agricultural products[5]
2.2 Emerging Market Currency Vulnerability Assessment

According to analysis from Oqtima Geopolitical Analysis[9]:

Currency Potential Depreciation Range Drivers
Mexican Peso (MXN)
5-7% USMCA uncertainty, manufacturing supply chain disruptions, risk of trade surplus compression[9]
Chinese Yuan (CNY)
Gradual depreciation Declining export competitiveness, capital outflow pressure, PBOC’s gradual depreciation strategy[9]
South Korean Won (KRW)
3-5% Vulnerability of tech exports, combined with geopolitical risks[9]

Relatively Resilient Currencies
: Singapore Dollar, Thai Baht, Malaysian Ringgit – benefiting from supply chain diversification adjustments and post-negotiation tariff reductions[9].


III. Analysis of Export-Dependent Industries
3.1 Industry Vulnerability Matrix

Based on research from J.P. Morgan, Mitsui & Co., and RBC Capital Markets[4][7][8], the following industries are ranked by vulnerability:

Tier 1: Extremely High-Impact Industries

1. Textile and Apparel Manufacturing

  • Bangladesh, Cambodia, Vietnam
    : Textile exports account for over 60% of total exports to the U.S.[6]
  • Root cause of vulnerability
    : Average industry net profit margin is only 8-12%, with extremely weak tariff pass-through ability
  • Typical case
    : Nike’s gross margin compressed by 300 bps due to tariffs, with China sales declining 17%[10]

2. Electronics Assembly and Components

  • Vietnam, Mainland China
    : Consumer electronics exports to the U.S. account for over 40%[4]
  • Root cause of vulnerability
    : Supply chains are highly concentrated in assembly bases in the Pearl River Delta (China) and northern Vietnam
  • Typical case
    : Apple reported a 3-4% increase in supply chain costs, but has limited pricing power for high-end products[9]

3. Furniture and Household Goods

  • China, Vietnam, Mexico
    : Top three sources of U.S. furniture imports[8]
  • Root cause of vulnerability
    : Dual pressure from raw material costs and tariffs, high consumer price sensitivity
  • Typical case
    : Williams-Sonoma, Wayfair face 30-50% phased tariffs[9]
Tier 2: High-Impact Industries

4. Automobiles and Auto Parts

  • Mexico, Canada, Japan, Germany
    : Concentrated sources of U.S. automobile imports[3]
  • Root cause of vulnerability
    : Highly integrated industry chain, difficult to restructure in the short term
  • Typical case
    : Ford, GM warn of production disruptions; Canadian auto parts suppliers face shutdown risks[7][8]

5. Footwear and Leather Products

  • China, Vietnam, Indonesia
    : Global footwear manufacturing hubs[10]
  • Root cause of vulnerability
    : Sensitive to labor costs, limited brand premium
  • Typical case
    : Nike’s China sales declined 17% due to tariffs and domestic market competition[10]

6. Plastic Products and Packaging Materials

  • China, Mexico
    : Main sources of U.S. plastic imports[8]
  • Root cause of vulnerability
    : Downstream packaging industry has thin profit margins, making it difficult to absorb costs
Tier 3: Medium-Impact Industries

7. Agricultural Products

  • Brazil, Canada, Mexico
    : Soybeans, pork, fruits and vegetables exported to the U.S.[5]
  • Root cause of vulnerability
    : Sensitive to price fluctuations, combined with seasonal factors
  • Chinese countermeasures
    : Imposed 10-15% tariffs on U.S. agricultural products[1]

8. Machinery and Equipment

  • Germany, Japan, China
    : Industrial equipment exports[8]
  • Root cause of vulnerability
    : Technology-intensive, partial cost pass-through possible
  • Typical case
    : Caterpillar, Deere face input cost pressure and weakened overseas demand[9]

9. Semiconductors

  • Taiwan, South Korea, Japan
    : Global core chip manufacturing hubs[5]
  • Special exemption
    : Semiconductors are fully exempt from reciprocal tariffs, with limited indirect impacts on downstream packaging and testing sectors[5]
3.2 Analysis of Industry Transmission Chain
Upstream Materials → Midstream Manufacturing → Downstream Brand/Retail → End Consumers
    ↓            ↓            ↓              ↓
Rare Earths/Metals    Assembly Processing     Brand Premium       Price Sensitivity
(China-dominated)   (Vietnam/Mexico)   (Limited)        (High)

Transmission Characteristics
:

  • Cost Transmission Diminishing Effect
    : Bargaining power decreases from upstream raw materials → midstream manufacturers → downstream brands → retailers
  • Time Lag Effect
    : It takes approximately 3-6 months for impacts to be transmitted to end consumer prices, with enterprises bearing cost pressures in the interim
  • Differentiated Pass-Through Ability
    : High-premium brands (Nike, Apple) can partially pass on costs; mass consumer goods struggle to do so

IV. Potential Shocks to Valuations of Export-Oriented Enterprises
4.1 Analysis of Valuation Compression Mechanisms
4.1.1 Earnings Expectation Adjustments

Based on RBC Capital Markets’ earnings call analysis[8]:

Industry Profit Impact Mechanism Expected EPS Adjustment
Retail (WMT/TGT/COST)
Cost absorption + price hike constraints 2025 Q4 guidance shows margin compression[9]
Apparel (NKE/ADDYY)
Difficulty passing on tariff costs Gross margin compressed by 200-400 bps[10]
Automobiles (F/GM)
Rising production costs + slowing demand 2026 earnings forecast lowered by 5-10%[9]
Technology (Apple)
3-4% increase in supply chain costs Limited impact, strong pricing power for high-end products[9]
Industrial (CAT/DE)
Cost pressure + weakened overseas demand Export chain enterprises face profit pressure[9]
4.1.2 Price-to-Earnings (P/E) Compression

According to data from Oqtima Geopolitical Analysis[9]:

Enterprise Type P/E Compression Range Drivers
Highly export-dependent retailers
10-15% Margin risks, uncertainty in consumer spending[9]
Textile/footwear manufacturers
15-25% Direct tariff impact, margin compression[10]
Auto parts suppliers
10-20% Supply chain disruption risks, declining capacity utilization[8]
Tech hardware manufacturers
5-10% Partial cost pass-through possible, relatively rigid demand[9]
4.1.3 Multiple Valuation Discount Factors
Tariff Shock → Earnings Downgrades → Deteriorating Cash Flow → Rising Credit Risk → Stock-Bond Sell-Off
    ↓         ↓          ↓           ↓
Valuation Compression   EPS Decline   ROE Reduction    Rising Debt Costs  Expanded Risk Premium

Key Transmission Paths
:

  1. Earnings Side
    : Directly impacts net profit margins, with net profits of high-dependence enterprises expected to decline 8-15% in 2025
  2. Cash Flow Side
    : Increased working capital demand, extended accounts receivable cycles
  3. Cost of Capital Side
    : Widening credit spreads, higher debt refinancing costs
  4. Valuation Side
    : Rising equity risk premium (ERP), higher WACC in DCF models
4.2 Typical Enterprise Case Studies
Case 1: Nike Inc. (NKE)
Indicator Data Interpretation
China Sales 17% YoY decline Double pressure from intensified domestic competition and tariffs[10]
Gross Margin Compression 300 bps Direct erosion from tariffs[10]
Stock Performance 22% annual decline Market pricing in pessimistic expectations[10]
P/E Historical Comparison Below 5-year average Valuations have fully priced in risks[10]

Valuation Insight
: Even for export-dependent consumer goods enterprises with brand premium capabilities, it is still difficult to fully hedge against tariff impacts.

Case 2: Apple Inc. (AAPL)
Indicator Data Interpretation
Supply Chain Cost Increase 3-4% Relatively manageable[9]
Pricing Power Strong Rigid demand for high-end products[9]
Valuation Impact Limited Buffered by semiconductor exemptions[9]

Valuation Insight
: Enterprises with high technological barriers and strong brand premium capabilities have stronger resilience.

Case 3: Automotive Industry (Ford/GM)
Indicator Data Interpretation
Production Costs Significant increase Transmitted from import tariffs on parts[8]
EV Transformation Costs Compounded pressure Double blow from battery import tariffs[9]
Employment Impact Potential risk Capacity adjustment pressure[7]

Valuation Insight
: Industries with highly integrated chains face systemic restructuring costs.

4.3 Industry Valuation Sensitivity Analysis

Scenario assumptions based on DCF models:

Industry Base Case Optimistic Scenario (Tariff Relaxation) Pessimistic Scenario (Tariffs Maintained/Upgraded)
Textile Manufacturing
8-10x EV/EBITDA 10-12x 6-8x
Electronics Assembly
12-15x 14-17x 10-12x
Auto Parts
7-9x 9-11x 5-7x
Retail
15-18x 18-22x 12-15x
Tech Hardware
20-25x 25-30x 18-22x

V. Investment Strategies and Risk Hedging Recommendations
5.1 Sector Allocation Recommendations
Defensive Allocation (Favored)
  • Semiconductors
    : Exempt from tariffs, rigid demand from AI/data centers[5]
  • U.S. Domestic Consumption
    : Avoid export shocks, focus on leading essential consumer goods enterprises
  • Healthcare
    : Rigid demand, high policy immunity
Cautious Allocation (Underweight Recommended)
  • Textile and Apparel
    : Direct impact, margin-sensitive[6]
  • Auto Parts
    : High supply chain risk premium[8]
  • Emerging Market Export-Oriented Stocks
    : Risk of currency and valuation double hit[9]
Wait-and-See/Tactical Allocation
  • Negotiation Progress-Driven
    : Vietnam, India, etc., which obtained tariff concessions through negotiations[5]
  • Supply Chain Restructuring Beneficiaries
    : Mexico (nearshoring), India (diversification)[6]
5.2 Risk Hedging Instruments
Instrument Applicable Scenario Recommended Allocation Ratio
Currency Hedging
Currency depreciation risk Short positions in MXN, KRW
Interest Rate Futures
Rising inflation expectations Short positions in short-end contracts
Volatility Strategy
VIX upside risk VIX futures/options
Gold
Safe-haven demand 3-5% allocation
Tail Risk Funds
Extreme events 1-2% allocation
5.3 Key Monitoring Indicators
  1. Policy Level
    :

    • Supreme Court ruling on IEEPA (expected early 2026)[1]
    • USMCA renegotiation progress[3]
    • Renewal/termination of national emergency declarations
  2. Data Level
    :

    • U.S. CPI/PPI (inflation transmission)
    • U.S. import data (actual demand changes)
    • Emerging market trade surplus changes
  3. Market Level
    :

    • High-yield spreads (credit risk)
    • Emerging market currency volatility
    • Earnings revision range of export-oriented enterprises

VI. Scenario Analysis
Scenario 1: Supreme Court Rules IEEPA Tariffs Unconstitutional (Probability: ~45%)[2][9]

Market Reaction
:

  • Risk assets rebound 5-10% in the short term
  • Emerging market currencies appreciate 3-5%
  • Valuations of high-export-dependence enterprises recover

Valuation Impact
:

  • Retail stock P/E expands by 5-8%
  • Textile/automotive stock P/E expands by 10-15%
Scenario 2: Supreme Court Upholds IEEPA Authorization (Probability: ~35%)[2][9]

Market Reaction
:

  • Risk assets come under pressure, volatility rises
  • Export-dependent currencies depreciate further
  • Corporate earnings expectations are revised downward

Valuation Impact
:

  • P/E of high-dependence enterprises compresses by another 5-10%
  • Supply chain restructuring accelerates, benefiting Mexico/India
Scenario 3: Executive and Legislative Intervention (Probability: ~20%)[2]

Market Reaction
:

  • Congress may pass legislation to limit presidential tariff authority
  • Or attach restrictive clauses to budget bills

Valuation Impact
: Uncertainty persists, making it difficult for enterprises to conduct long-term capital allocation


VII. Conclusion
7.1 Key Findings
  1. Country Level
    : China, Vietnam, India, Brazil, and Mexico are the most vulnerable countries, with China and Vietnam facing the highest risks due to their heavy dependence on U.S. manufacturing exports[1][4][5]

  2. Industry Level
    : Textile and apparel manufacturing, electronics assembly, furniture, and auto parts are the most vulnerable industries, characterized by high margin sensitivity and weak bargaining power[6][8][10]

  3. Valuation Level
    : High-export-dependence enterprises face 10-25% P/E compression and 8-15% downward revisions in profit expectations, with some enterprises facing rising credit risks[9][10]

  4. Transmission Mechanism
    : Tariff shocks are transmitted step-by-step through the supply chain, with upstream material monopolists (rare earths) relatively benefiting, while midstream assembly sectors bear the brunt[4][9]

7.2 Investment Implications
  • Short-Term (1-3 Months)
    : Avoid high-export-dependence targets, wait for policy clarity
  • Mid-Term (3-6 Months)
    : Focus on supply chain restructuring beneficiaries (Mexico, India)
  • Long-Term (6-12 Months)
    : If IEEPA tariffs are overturned, valuation recovery opportunities are expected; if they persist, the risk premium of export-dependent assets needs to be repriced

References

[1] Wikipedia

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.