Event and Relationship Change Research
Analysis of how company events, disruptions, and relationship changes propagate through supplier and customer networks.
Publications
Grid Copper Bottlenecks Sit in Electrical Equipment Manufacturing
Event exposure
Where is the practical copper bottleneck for grid and data-center infrastructure: mines, smelters, refined cathode, fabrication, or finished electrical equipment?
The near-term copper constraint for power infrastructure is increasingly downstream of the mine, in the factories that turn refined copper into cable, transformer windings, busbars, and finished electrical equipment.
AI Infrastructure Exposure to China's Mineral Truce
Event exposure
Which AI infrastructure components and corporate relationships would face the earliest pressure if China's suspended critical-mineral restrictions return in November 2026?
A dated map of how suspended Chinese mineral controls could reach AI infrastructure through optical networking, fiber, power electronics, batteries, and manufacturing inputs before they constrain the GPU itself.
AI Liquid Cooling Depends on Cold Plates, CDUs, and Connectors
Event exposure
Which parts of the supplier network gain importance as AI cooling moves from room-level HVAC toward direct-to-chip liquid cooling?
As AI racks shift from room-level air cooling toward direct liquid cooling, more of the thermal-management opportunity is moving into cold plates, CDUs, pumps, manifolds, connectors, heat exchangers, and the suppliers that make those systems work.
China's Gallium Controls Threaten Semiconductors and Power Electronics
Event exposure
How does China's gallium export-control leverage propagate from primary material into qualified semiconductor substrates, foundries, AI power electronics, mobile RF and defense radar?
China's gallium leverage is a qualification and processing chokepoint spanning semiconductor materials, RF, AI data-center power, telecom infrastructure, consumer electronics and defense radar.
China's Rare-Earth Controls Reach Robotics, Defense, and Chipmaking
Event exposure
How do China's rare earth export controls reach beyond electric vehicles into robotics, wind turbines, defense, aerospace, semiconductor equipment, industrial motors and data centers?
China's rare earth controls reach robotics, wind power, defense, aerospace, semiconductor equipment, industrial motors and data centers because downstream qualification and performance can matter more than raw-material tonnage.
Data Center Ghost Demand and Grid-Equipment Bottlenecks
Event exposure
Which data center infrastructure bottlenecks remain structurally constrained after utilities scrub speculative power requests from their queues?
Scrubbing speculative data-center requests does not eliminate shortages in utility transformers, breakers, and switchgear, but it raises campus-equipment demand risk.
Europe's Critical-Minerals Stockpile Needs Processed Materials
Event exposure
What would Europe actually need to buy for a useful critical minerals stockpile?
Europe's useful critical-minerals stockpile would need to focus on processed materials and conversion bottlenecks, not equal piles of every material on the EU critical list.
Europe's Missile Production Bottleneck Is Upstream Components
Event exposure
Which upstream component layers become the binding constraints as Europe tries to manufacture cheaper missiles in volumes measured in thousands?
Europe's push toward cheaper, mass-producible missiles shifts the capacity question from final assembly toward rocket motors, energetic materials, seekers, guidance, actuators, and other qualified upstream components.
GE Aerospace's $11.75 Billion CPP Deal Targets a Casting Bottleneck
Event exposure
Why was GE Aerospace willing to pay $11.75 billion for Consolidated Precision Products, and what does the deal imply about qualified turbine casting capacity across aerospace and power?
GE Aerospace's planned $11.75 billion CPP acquisition shows how qualified precision casting capacity is becoming a strategic bottleneck across aerospace engines and industrial gas turbines.
Grid Delays Shift Demand to On-Site Power Equipment
Event exposure
Which equipment suppliers can benefit when large loads cannot wait years for conventional grid connections?
Grid delays are turning time to power into an investment theme, shifting demand toward onsite generation, fuel cells, storage, switchgear, transformers, controls, and microgrid equipment.
Grid Storage Still Runs Through China
Event exposure
How far upstream has US and European grid-storage localization actually moved away from Chinese battery materials, components, and integrated systems?
U.S. and European grid storage still depends on Chinese LFP cathodes, graphite, separators, cells, power electronics, and system integration.
Jet Engine Backlogs Are Really Component Backlogs
Event exposure
Which qualified engine components and upstream suppliers can become the binding constraints as Boeing and Airbus try to convert aircraft backlogs into deliveries?
Aircraft demand is already visible. The harder investment question is which qualified engine components can be produced fast enough to convert Boeing and Airbus order books into delivered jets.
South Korea's Central Asia Mineral Strategy Depends on Processing
Event exposure
Which Central Asian critical-mineral supply chains can realistically diversify South Korea's semiconductor, battery, auto, nuclear, and industrial inputs?
South Korea's first Central Asia summit highlights a narrower critical-minerals opportunity centered on uranium, tungsten, molybdenum, copper, and the processing capacity needed to turn regional geology into qualified industrial supply.
Strait of Hormuz Disruption Beyond Oil
Event exposure
How can a Strait of Hormuz disruption propagate beyond crude oil through LNG, sulfur, fertilizers, helium, petrochemicals, industrial users, and shipping?
The deeper investment risk from the Strait of Hormuz runs through LNG, sulfur, fertilizers, helium, petrochemicals and shipping, creating exposures for Asian utilities and manufacturers that may have little direct connection to crude oil.
Suez Reopening Reshuffles Global Logistics Costs
Event exposure
Which companies gain or lose as Asia-Europe shipping returns to Suez and releases vessel, container, and inventory capacity trapped by longer Cape of Good Hope voyages?
The gradual return to Suez releases vessel and container capacity, shortens inventory cycles, and shifts the economics of Asia-Europe trade across carriers, importers, freight forwarders, air cargo, and container equipment.
Customer Activism and Supplier Margin Risk
Event exposure
How can shareholder activism aimed at improving a customer's margins and cost structure create profitability and investment pressure for that customer's suppliers?
Customer activism can pressure supplier margins through repricing and vendor consolidation, but only when the campaign actually targets procurement or operating costs.
Customer CEO Turnover as a Supplier Event
Event exposure
How can the replacement of a major customer's CEO disrupt supplier sales and strategy even when nothing has changed inside the supplier itself?
Customer CEO turnover can disrupt suppliers through asset sales, strategy changes, procurement centralization, and revised capital-allocation priorities.
Customer Disasters and Supplier Investment
Event exposure
How can earthquakes, floods, storms, and other physical shocks at customer locations change supplier investment and liquidity decisions far outside the disaster area?
Disasters at customer facilities can reduce supplier investment, increase cash buffers, and change customer development even when supplier sites are untouched.
Customer Financial Distress and Supplier Balance-Sheet Risk
Event exposure
How can financial distress at a major customer increase a supplier's own cash-flow, liquidity, financing, and default risk before the supplier appears financially distressed itself?
Customer distress reaches suppliers through lost orders, slow or uncollectible receivables, stranded inventory, lower utilization, and replacement costs.
Customer Labor Disputes as Supplier Risks
Event exposure
How can strikes, union negotiations, workforce restructuring, and other customer labor events create investment risk or opportunity for economically connected suppliers?
Customer strikes, wage settlements, closures, and restructurings reach suppliers through different production, pricing, investment, and purchasing channels.
Customer Mergers and Supplier Capital Structure
Relationship change
How can a major customer's horizontal merger change supplier bargaining power, customer concentration, and even the supplier's financing policy?
A customer merger can reduce supplier diversification, increase buyer power, consolidate contracts, and change the supplier's financing response.
Customer Recalls Can Hurt Uninvolved Suppliers
Event exposure
How can a manufacturer's product recall affect supplier stocks through customer-demand contagion even when the supplier did not produce the defective component?
A recall can hurt suppliers that did not cause the defect. Product evidence separates technical responsibility from exposure to stopped or delayed customer demand.
Measuring the Materiality of Strategic Partnerships
Relationship change
How can an investor distinguish a strategically and financially meaningful customer-supplier partnership announcement from a recognizable corporate logo attached to promotional language?
A partnership is material when it creates a measurable product, obligation, capacity plan, distribution path, or durable commercial change—not just a famous logo.
Supplier Cyberattacks and Customer Liquidity Risk
Event exposure
How can an operations-disrupting cyberattack at a supplier create production, liquidity, financing, and supplier-replacement consequences for economically connected customers?
An operational supplier cyberattack can reduce customer profits, trigger emergency procurement and borrowing, and cause customers to switch vendors.
Supplier Equity Offerings as Customer Signals
Event exposure
Why can a supplier's seasoned equity offering contain information about a major customer, and how can relationship data determine which outside company should be investigated after the financing announcement?
A supplier equity raise can reveal customer-backed expansion or relationship stress. Use proceeds, orders, receivables, and later relationship history separate the cases.
Supplier ESG Incidents and Customer Reallocation
Event exposure
How can an environmental or social incident at a supplier cause customers to change sourcing and turn reputational or compliance risk into a supplier revenue event?
Environmental and social incidents can cause customers to reallocate purchases even when product quality is unchanged, turning compliance risk into revenue risk.
Supplier Exposure to Customer Layoffs
Event exposure
How can a major customer's layoff announcement become an upstream supplier signal, and how should an investor distinguish demand-driven layoffs from restructuring that may redirect spending?
Customer layoffs can signal weaker demand, lower budgets, facility exits, or spending redirected toward automation. The stated rationale determines the supplier effect.
A Revenue Beat and a Capex Cut Can Send Opposite Supply-Chain Signals
Event exposure
How should an investor interpret an earnings report when current revenue improves but capital-spending plans weaken, creating opposite signals for different companies in the same supply-chain network?
Strong current revenue can support demand-facing suppliers while lower capital spending weakens the outlook for equipment and construction suppliers. The correct readthrough depends on which financial line the relationship serves.
A Supplier Price Increase and a Supplier Shortage Are Not the Same Shock
Event exposure
Why should investors model a supplier price increase differently from a supplier shortage even when both events originate from the same economically important relationship?
A supplier price increase tests margin and pass-through; a shortage tests availability, output, delivery timing, and lost revenue.
Can Supply-Chain Data Tell You Which Stock News Actually Matters?
Event exposure
How can an investor use supply-chain relationships to decide which outside-company headlines deserve attention and which can be safely ignored?
Use customers, suppliers, relationship size, and product context to reduce a broad news feed into the outside events that have a plausible path into an investment thesis.
Customer Volatility as a Supplier Options Signal
Event exposure
Can a quant combine customer-supplier relationships with implied volatility to test whether customer uncertainty is transmitted into connected suppliers' options markets?
Yes, potentially. Supply-chain data can identify which supplier options have an economic reason to react when a major customer's disclosures change expected volatility, then the options market can reveal how quickly that uncertainty is transmitted.
Distinguishing Company-Specific Selloffs From Supply-Chain Events
Event exposure
How can an investor use customer and supplier relationships to decide whether a stock selloff reflects company-specific execution or a network-wide event entering through a shared economic dependency?
Trace where new information entered the network before treating a price decline as an isolated company problem or a broader event affecting connected customers, suppliers, and portfolio holdings.
How Acquisitions Change Supply-Chain Risk
Relationship change
How should investors rebuild customer, supplier, and bottleneck exposure after an acquisition changes the corporate boundary and combines two previously separate dependency networks?
M&A can import new customers and suppliers, internalize formerly external relationships, duplicate important counterparties, and change the dependency map long before a simple pre-deal network becomes useful again.
How Fresh Does Supply-Chain Data Need to Be for Investing?
Relationship change
How current does customer and supplier relationship data need to be for portfolio construction, catalyst research, long-term investing, and point-in-time backtesting?
Relationship state and market events move at different speeds, so data freshness should match the decision horizon rather than assuming every dependency needs a real-time feed.
How Survivorship Bias Can Ruin a Supply-Chain Backtest
Relationship change
How can survivorship bias enter a supply-chain backtest through historical universes, delisted securities, entity mapping, and uneven relationship coverage even when the return calculation itself is correct?
A historical relationship strategy can look stronger than it was if the universe silently excludes companies and securities that were acquired, delisted, failed, or disappeared before today's dataset was built.
Monte Carlo Supply-Chain Portfolio Stress Tests
Event exposure
How can a quant use supply-chain relationships inside Monte Carlo portfolio stress tests without treating supplier revenue percentages, customer cost percentages, or relationship sizes as deterministic shock-transmission coefficients?
Usually yes when the goal is portfolio risk. Monte Carlo can represent uncertainty in disruption severity, duration, substitution, correlated shocks, and recovery instead of forcing one deterministic network-loss scenario.
Observable Dates and Look-Ahead Bias in Supply-Chain Backtests
Relationship change
How can a supply-chain backtest avoid look-ahead bias when old relationships are discovered later, backfilled into history, or corroborated by evidence that was not available at the original trading date?
A relationship can be economically true before it becomes observable, so valid historical testing needs to separate the date the commercial relationship existed from the date a strategy could actually know about it.
One Supply-Chain Shock, Different Stock Outcomes
Event exposure
If two companies share a major customer, supplier, or investment theme, what determines why the same shock can create very different financial and stock outcomes?
A shared customer or supplier identifies the common event path, but customer mix, product relevance, capacity, pricing, and replaceability determine why two apparently similar stocks can experience different outcomes.
Paper Trading for Supply-Chain Strategies
Event exposure
What does paper trading genuinely validate for a supply-chain strategy, and which statistical, data-quality, and execution risks still require historical point-in-time research or eventual live-capital testing?
Paper trading can validate live feature timing, entity mapping, order generation, and production plumbing, but it cannot create statistical evidence or perfectly reproduce market impact, slippage, queue position, and real fills.
Persistent Supply-Chain Risks in Longstanding 10-K Disclosures
Relationship change
When a company repeats the same supplier or equipment risk for years, how can an investor tell whether the disclosure is generic boilerplate or evidence of a persistent structural dependency?
Repeated supplier-risk language can describe a persistent structural dependency rather than a stale warning, especially when the same equipment or material constraint survives across several reporting periods.
Point-in-Time Supply-Chain Feature Stores
Relationship change
What data lineage and timestamps should a quant preserve so historical supply-chain features can be reproduced exactly and served with the same semantics when a model moves from research to production?
Reproducible network research needs snapshot identity, relationship direction, metric missingness, entity and security mappings, observation timing, and transformation lineage instead of saving only the final model feature.
Relationship Breaks as Pairs-Trading Exit Signals
Relationship change
Can point-in-time changes in shared customers, suppliers, and dependency strength provide an economically grounded structural-break signal for an existing statistical-arbitrage pair?
Yes. If a pair was selected because two companies shared an important economic driver, a material change in that customer, supplier, or dependency structure can warn that the old spread relationship deserves to be re-estimated.
Relationship Changes as Early Evidence of Strategic Repositioning
Relationship change
How can changes in the product, facility, and operating context around an existing customer or supplier relationship reveal strategic repositioning before it becomes obvious in reported segment results?
A customer relationship can become strategically more important when new products, facilities, or capacity plans accumulate around it, providing evidence of repositioning before the financial statements fully reflect the change.
Relationship Churn as a Quant Signal
Relationship change
Can a quant use new, disappearing, strengthening, weakening, and aging customer-supplier relationships as predictive features without confusing commercial change with disclosure thresholds, backfills, acquisitions, or coverage changes?
Turn relationship formation, persistence, weakening, and dissolution into temporal features while separating commercial change from data and corporate actions.
Required History for Supply-Chain Backtests
Relationship change
How should a quant decide whether a supply-chain backtest has enough historical data when twenty years of monthly snapshots can still contain too few independent events for a rare relationship hypothesis?
Calendar years alone do not determine statistical power because different network strategies consume different numbers of independent customer events, relationship changes, companies, clusters, and market regimes.
Stocks to Watch After a Major Company's Earnings
Event exposure
How can an investor turn one major company's earnings report into a focused watchlist of economically connected stocks instead of chasing an entire sector?
Start with the economically material customers and suppliers, not every stock in the same sector. Rank direct relationships first, then filter them by whether the earnings surprise actually affects the business line connecting the companies.
Supplier Exposure to Customer Market-Share Shifts
Relationship change
Can a supplier remain economically exposed to an industry even when market share rotates between competing customers, and how can relationship data reveal that insulation?
Not necessarily. When a supplier sells meaningfully to both the losing customer and the gaining competitor, part of the downstream market-share shift can remain inside the supplier's customer network.
Supply-Chain Data for Tail-Risk Models
Event exposure
Can customer, supplier, and shared-node relationships improve joint-loss, expected-shortfall, or lower-tail dependence estimates beyond ordinary sector and covariance models?
Customer and supplier relationships can define pairs and clusters that have an economic reason to become unusually dependent during extreme events even when their average historical correlation looks modest.
Supply-Chain Event Study Design
Event exposure
How should a quant design an event study around customer earnings, supplier disruptions, or other supply-chain shocks without selecting treated firms, windows, and controls after seeing which stocks moved?
Use the pre-event relationship graph to define treated firms, construct controls before observing returns, choose event windows from the transmission mechanism, and test whether stronger economic exposure produces stronger abnormal responses.
Supply-Chain Event Trades vs. Sympathy Trades
Event exposure
How is trading a documented customer or supplier transmission path different from trading another stock simply because it belongs to the same industry or market theme?
A supply-chain event trade has a documented economic path from the event source to the second company. A sympathy trade only assumes related stocks will move together because of sector, theme, narrative, or historical correlation.
Supply-Chain Exposure to Interest-Rate Shocks
Event exposure
How can customer-supplier relationships transmit an interest-rate-driven demand shock into companies whose own sector, financing profile, or products do not make their rate sensitivity obvious?
A supplier can inherit rate sensitivity through an important customer; the graph identifies the path and customer behavior determines pass-through.
Supply-Chain Model Drift and Retraining Triggers
Relationship change
Can point-in-time supply-chain drift provide an economically grounded retraining trigger when a company's dependency structure changes enough that an older forecasting model may no longer describe the same business state?
A major relationship change can signal a new economic state and justify model review or retraining before the next calendar trigger.
Supply-Chain Signal Half-Life
Event exposure
How can a quant estimate the half-life of customer-supplier information after an event and determine whether relationship strength, attention, earnings timing, and market regime change the correct holding period?
Estimate how quickly customer and supplier information is incorporated instead of choosing a holding period from whichever historical window produced the strongest result.
Supply-Chain Signals Across Market Regimes
Event exposure
How can a quant test whether supply-chain features become predictive only during specific market regimes, customer events, disruptions, or volatility states without defining the regimes after seeing the results?
Many dependencies are dormant until a customer shock, supplier disruption, volatility regime, or known catalyst activates them, making conditional research potentially more appropriate than forcing every relationship into a continuous return signal.
Synthetic Controls for Supply-Chain Event Studies
Event exposure
Can customer and supplier relationships improve synthetic-control or matching methods by helping a quant find untreated stocks that resemble the target company without sharing the same event exposure?
Build synthetic controls that resemble the treated company while excluding stocks exposed to the same customer, supplier, or bottleneck event.
Testing Customer-Supplier Spillovers Beyond Industry Momentum
Event exposure
What falsification tests can distinguish a genuine customer-supplier information spillover from ordinary industry momentum, common-factor exposure, simultaneous news, or a relationship chosen after observing returns?
A credible spillover test needs industry controls, unrelated-event placebos, fake-network benchmarks, pre-trend checks, reverse-direction tests, and exposure gradients before a customer-supplier link is treated as the source of predictability.
The Gap Between Backtested and Live Supply-Chain Signals
Relationship change
What supply-chain-specific data and infrastructure problems can create a gap between a strong historical backtest and weak live performance even when the trading logic itself is unchanged?
Backtests can beat live results when they ignore relationship discovery delays, backfills, security changes, and offline-versus-online feature drift.
Time-Zone Bias in Supply-Chain Lead-Lag Tests
Relationship change
How should a global quant distinguish genuine customer-supplier information diffusion from mechanical lead-lag created by non-overlapping market hours, ADR trading, holidays, and cross-listed securities?
International customer-supplier lead-lag tests can confuse non-overlapping trading hours and ADR price discovery with economic underreaction unless events, home-market shares, and cross-listed securities are aligned on the same information clock.
Uncertainty Calibration With Supply-Chain Data
Event exposure
Can a quant use supply-chain dependencies to improve forecast uncertainty calibration and prediction intervals even when the network does not materially change the point forecast?
Use customer and supplier states to calibrate prediction intervals or confidence when forecast errors widen, without forcing a directional signal.
Walk-Forward Testing for Supply-Chain Signals
Relationship change
What should a walk-forward validation process look like when the predictive features come from a time-varying supply-chain network with changing coverage, securities, relationships, and observation dates?
Retrain only on past data, freeze choices before each test window, preserve historical universes and snapshots, and accumulate genuinely unseen periods.
When a Major Customer Becomes a Competitor
Relationship change
How should investors interpret a major customer relationship when the customer begins building technology that could replace part of what it currently buys from the supplier?
A customer can remain commercially important while developing internal technology that narrows future dependence, creating a relationship investors should analyze by product scope rather than label as simply bullish or bearish.
When to Look Upstream or Downstream After Company News
Event exposure
How should an investor use the direction of a customer-supplier relationship to decide which connected stocks deserve attention after demand news, supply disruptions, capacity changes, or earnings events?
Look upstream when the news changes customer demand or purchasing. Look downstream when the news changes supplier availability, capacity, cost, or production capability.
Supply-Chain Data in a Short Thesis
Event exposure
What additional evidence turns a customer, supplier, or bottleneck dependency from a generic risk factor into a credible downside or short-investment thesis?
A dependency becomes investable on the downside only when limited alternatives, a catalyst, and a plausible path into financial results turn a generic vulnerability into a real thesis.
Investing-Agent Thesis Change Logs
Relationship change
How can an investing agent maintain a point-in-time log of customer, supplier, bottleneck, and product assumptions so it can flag when the logic behind a position changes before the financial statements fully reflect it?
Store the dependency assumptions behind a stock thesis, then compare new relationship data and public evidence with that original state so an agent can flag changes that actually matter.
Portfolio Risk Before Major-Customer Earnings
Event exposure
How can an investor identify and temporarily control portfolio exposure to one customer's earnings catalyst when several holdings depend on that customer with different levels of relationship evidence?
Map every holding connected to one reporting customer, preserve the difference between quantified and structural relationships, and decide how much event risk the portfolio should carry before the catalyst.
How to Find Potential Capex Beneficiaries With Supply-Chain Data
Event exposure
How can investors use existing supplier relationships to find plausible beneficiaries of a new factory or capacity expansion without assuming an existing supplier won the project?
Use existing supplier relationships and supplier functions to build a candidate beneficiary list after a factory or capacity announcement without confusing commercial proximity with a project award.
How to Backtest Supply-Chain Signals Without Look-Ahead Bias
Relationship change
How can investors backtest supply-chain relationships without using information that was not observable at the test date?
Use historical network topology, historical relationship metrics, publication lags, and defined rebalancing rules instead of applying today's supply-chain graph to past dates.
Tracking Supply-Chain Counterparties After Delisting
Relationship change
How should investors preserve supply-chain relationships when a counterparty delists, goes private, or changes its security identifier?
Keep company identity, historical security symbols, relationship dates, and current tradability separate so delisted or private counterparties do not disappear from supply-chain research.
Replacement Supplier Screening After a Disruption
Event exposure
How can investors find plausible replacement suppliers without treating every company connected to the same customer as a substitute?
Use the supply-chain graph to find candidate alternatives, then filter by product function, qualification, capacity, geography, and existing customer relationships.
AI Investing Agents for Stock-Network Monitoring
Event exposure
How can an investing agent use customer, supplier, and network relationships to decide which external events deserve attention after a position is opened without flooding the investor with irrelevant alerts?
Use customer, supplier, and network relationships to give an investing agent a bounded post-purchase monitoring perimeter instead of a generic market-news feed.
How to Stress Test Tariffs With Supply-Chain Data
Event exposure
How can investors use supply-chain relationship data to model tariff exposure without confusing a scenario with an observed cost?
Combine relationship size with explicit tariff assumptions while keeping company country, product origin, policy scope, and pass-through separate.
Upstream Supplier Exposure to Export Controls
Event exposure
How can investors trace an export-control shock from a restricted customer product into economically exposed upstream suppliers without assuming every supplier relationship is affected?
Trace regulatory demand shocks from a restricted customer product into economically exposed suppliers while keeping product relevance and purchase commitments separate from company-wide exposure.
Using Supply-Chain Data for Pre-Earnings Options Research
Event exposure
How can options traders use supplier and customer exposure to build an earnings watchlist without treating relationship data as a price forecast?
Use customer and supplier exposure to build a secondary earnings watchlist, then evaluate volatility, liquidity, timing, and direction separately in the options market.
Stocks That Benefit From Supply-Chain Shocks
Event exposure
How can investors identify public companies that may gain orders, pricing power, or market share when a supply constraint changes the competitive balance without assuming every alternative supplier is substitutable?
Look beyond the company facing a disruption and research which listed competitors may gain orders, pricing power, or market share when constrained demand can move elsewhere.
Supply-Chain Catalyst Calendars for Individual Stocks
Event exposure
How can investors use customer and supplier relationships to decide which external earnings dates, project milestones, product ramps, and regulatory events belong on a stock's catalyst calendar?
Turn economically relevant customer and supplier earnings dates, project milestones, product ramps, regulatory dates, and relationship updates into a stock-specific catalyst calendar.
Do You Actually Need 20 Years of Supply-Chain History?
Relationship change
Which investment questions can be answered from the current supply-chain network, and when is historical point-in-time relationship data genuinely necessary?
Current relationship data is enough for many portfolio decisions, while historical snapshots become necessary when the question depends on durability, change, backtesting, or what was actually knowable at the time.
Nvidia Rubin's HBM4 Supplier Transition
Relationship change
What does Nvidia's transition to Vera Rubin and HBM4 change about the investment case for mapped memory suppliers SK Hynix and Micron?
Nvidia's Rubin architecture moves to HBM4 and publicly identifies Micron, SK Hynix, and Samsung in its memory ecosystem, creating a product-specific reason to revisit company-wide supplier exposure.
Semiconductor Capex Exposure vs. Product Demand
Event exposure
How can investors separate semiconductor capex exposure from downstream product demand using the same supply-chain network?
Split a semiconductor network into upstream manufacturing suppliers and downstream customers so capex events and demand events are not treated as the same signal.
Ranking Supplier Disruption Exposure by Customer Cost Share
Event exposure
How can supply-chain data rank which customers are most exposed to a supplier disruption?
Use customer cost percentage and relationship size to prioritize which customers deserve investigation after a supplier, facility, or input disruption.