When Detours Fail: Chokepoint Closures, Bypass-Route Disruption, and the Equity-Market Pricing of Supply-Chain Exposure, 2023–2026

1. Introduction

Supply-chain resilience is usually narrated as a problem of redundancy: diversify suppliers, add an alternative port, or build a pipeline around a vulnerable strait. Finance asks a harder question. Does the redundancy preserve expected cash flow and reduce discount-rate risk precisely when the original route fails? The Red Sea shock that intensified in late 2023 and the Gulf disruptions of 2026 show why this distinction matters. Routes can be geographically separate yet financially correlated through war-risk insurance, vessel scarcity, terminal access, inventories, onward chokepoints, and common geopolitical escalation. A detour that fails in the same state of the world as the route it was meant to insure is not a full hedge; it is correlated backup capacity.

The 2023–2026 period provides a sequence of increasingly informative route shocks. On 15 December 2023, major carriers began pausing Red Sea/Bab el-Mandeb transits after attacks on commercial vessels, accelerating diversion around the Cape of Good Hope (Reuters 2023; UN Trade and Development 2024a). On 28 February 2026, oil majors, traders, and tanker owners suspended Hormuz movements after the U.S.–Israeli attack on Iran and Tehran’s declaration that navigation was closed; traffic then collapsed relative to normal levels (Reuters 2026a). The key identification opportunity arrived later: the routes used to bypass Hormuz were themselves threatened or impaired, first by the 20 July 2026 Houthi ban on maritime navigation to and from Saudi ports and then by the 10–11 September attacks and shutdown of Saudi Arabia’s East-West Pipeline (INTERTANKO 2026; I’Anson 2026).

These episodes convert a broad geopolitical-risk problem into a finance setting with identifiable treatment timing and heterogeneous firm exposure. The East-West Pipeline is strategically important because it moves crude from eastern producing regions to the Red Sea, bypassing Hormuz. Before the September attack it was carrying roughly 5.5 million barrels per day, with around 4.5 million barrels per day exported through Yanbu; after multiple pumping stations were disabled, Yanbu loadings stopped and market participants repriced crude, freight, and route availability (I’Anson 2026). When Saudi Arabia restarted the system at a reduced rate on 22 September, Brent fell by more than USD 2 per barrel, providing a useful symmetric restoration event (Reuters 2026c).

The paper therefore shifts the object of analysis from maritime geography itself to the pricing of route dependence. It asks whether firms with greater physical and network exposure experience systematically different equity-market and corporate-finance responses, and whether the response is larger when the supposedly protective detour is the component that fails.

To operationalize that question, the paper develops the Dual Chokepoint Exposure Index (DCEI). DCEI combines primary-route dependence, alternative-route vulnerability, and contemporaneous shock intensity. Alternative vulnerability is derived from Independent Deliverable Capacity (IDC), which discounts nameplate bypass capacity for the operational constraints that determine whether cargo can actually reach a destination. The framework then maps this exposure into abnormal returns, volatility, quarterly financing decisions, and supplier–customer contagion.

The contribution is deliberately distinct from the author’s earlier research on Hormuz. Earlier work conceptualized the Strait as a conflict system connecting energy dependence, deterrence, alliances, law, and markets (Abdullah 2026a); examined shock transmission to vulnerable importing economies through exposure, sensitivity, and policy space (Abdullah 2026b); analyzed Oman’s mediatory maritime-governance role (Abdullah 2026c); and studied system-resilience finance through a maqāṣid-based framework (Abdullah 2026d). A later analysis introduced chokepoint coupling and independent deliverable capacity at the energy-network level (Abdullah 2026e). The present paper is the finance extension: the unit of analysis is the firm and its production network; the dependent variables are returns, volatility, balance-sheet responses, and contagion; and the empirical object is the detour-failure premium.

The paper makes four contributions. First, it introduces correlated detour failure into the asset-pricing literature on supply-chain disruptions. Second, it separates nominal redundancy from independent deliverability through DCEI and IDC. Third, it proposes a transparent 2023–2026 event architecture that distinguishes primary-route closure, detour impairment, and restoration. Fourth, it extends the pricing question into corporate finance and production networks by testing whether exposure predicts precautionary liquidity, inventory, trade-credit, leverage, and customer–supplier spillovers.

1.1. Research Questions

RQ1. Do firms with higher exposure to Hormuz and Red Sea trade earn more negative abnormal returns and exhibit higher volatility around chokepoint closure or suspension events?

RQ2. Is the repricing larger when the bypass route fails or becomes economically impaired—especially the 20 July 2026 Saudi-port navigation ban and the 10–11 September 2026 East-West Pipeline disruption—than when the primary chokepoint closes? This incremental response is the detour-failure premium.

RQ3. Does route exposure predict changes in cash holdings, inventories, trade credit, leverage, or capital expenditure in subsequent quarters, consistent with precautionary financing and operational-risk management?

RQ4. Does the shock spread to firms with low direct route exposure but high exposure to affected customers or suppliers, consistent with financial contagion through production networks?

2. Literature Review and Positioning

2.1. Supply-Chain Disruptions and Financial Outcomes

A long empirical literature shows that supply-chain disruptions affect both cash-flow expectations and required returns. Hendricks and Singhal (2003, 2005) document shareholder-wealth losses, persistent operating underperformance, and higher equity risk after supply-chain glitches. Baghersad and Zobel (2021) extend the analysis to broader disruption costs, while Choudhury, Kim, and Ramkumar (2022) show that large supply-chain shocks can materially reduce shareholder value. These studies establish the basic valuation channel but largely treat the disruption as an event affecting a firm or supplier. The present paper asks whether the architecture of alternative routes changes the size of that valuation response.

The network literature explains why losses propagate beyond directly exposed firms. Acemoglu et al. (2012) show how idiosyncratic shocks can generate aggregate fluctuations through production networks; Barrot and Sauvagnat (2016) identify input specificity as a mechanism of downstream vulnerability; and Boehm, Flaaen, and Pandalai-Nayar (2019) together with Carvalho et al. (2021) document propagation after the 2011 Tōhoku earthquake. This literature motivates RQ4: maritime-route exposure should be inherited through economically important customer–supplier links even when the focal firm has little direct shipping exposure.

Recent finance research connects supply-chain uncertainty to financial conditions and credit risk. Ginn (2024) finds that global supply-chain pressure shocks weaken equity returns while raising inflationary pressure. Huang (2025) constructs firm-level geopolitical supply-chain exposure and links it to wider credit-default-swap spreads, higher default probabilities, and rating deterioration. Zhu and Luo (2026) and Zhang (2026) further connect disruption risk to market position, resilience, digitalization, and financing constraints. These findings support the premise that route exposure can enter both the numerator of valuation through expected cash flows and the denominator through risk premia and financing costs.

2.2. Geopolitical Risk, Uncertainty, and Firm Finance

The DCEI sits within a broader literature on political and geopolitical risk. Caldara and Iacoviello (2022) provide a widely used geopolitical-risk index; Hassan et al. (2019) measure firm-level political risk from earnings calls and connect exposure to investment, hiring, lobbying, and volatility; and Baker, Bloom, and Davis (2016) show how policy uncertainty alters economic decisions. These measures are intentionally broad. DCEI complements them by isolating a physical-operational mechanism: dependence on a primary maritime route whose alternative may fail in the same geopolitical state.

Two firms in the same country can therefore face the same aggregate geopolitical news but different route economics. One may rely on imported feedstock through Hormuz or the Red Sea, while another can source domestically or use an independently deliverable alternative. Exposure-based finance research also shows the value of measuring firm-specific channels rather than relying only on macro indices (Sautner et al. 2023). The empirical design below consequently interacts event timing with pre-determined route exposure instead of interpreting a common market movement as evidence of chokepoint pricing.

2.3. Maritime Chokepoints and the Redundancy Problem

Maritime chokepoints concentrate trade into narrow passages where geography, infrastructure, security, and commercial expectations interact. EIA’s March 2026 chokepoint assessment estimated that 20.9 mb/d of oil moved through Hormuz in the first half of 2025, approximately one-quarter of global maritime-traded oil (U.S. Energy Information Administration 2026a). At that time, the combined Saudi and UAE bypass capacity was estimated at about 4.7 mb/d (U.S. Energy Information Administration 2026a). The same assessment recorded the structural consequences of Red Sea disruption: oil flows through Bab el-Mandeb had fallen sharply from 2023 levels, while Cape of Good Hope traffic increased (U.S. Energy Information Administration 2026a). UNCTAD similarly documented how Red Sea disruption lengthened routes, raised vessel demand, reduced reliability, and increased freight and operating costs (UN Trade and Development 2025).

These statistics expose a conceptual problem. A bypass can be geographically separate yet operationally dependent. Saudi crude reaching Yanbu avoids Hormuz, but cargoes bound for Asian markets may still face Bab el-Mandeb; northbound flows may depend on Suez or SUMED capacity; exports may require adequate terminal inventories; and redirection toward Gulf loadings can depend on ship-to-ship infrastructure and tanker availability. Kpler’s 2026 analyses of the Yanbu disruption explicitly identify these bottlenecks, including tight ship-to-ship transfer capacity at Fujairah and Sohar and the additional vessel requirements created when lightering shifts farther east (I’Anson 2026; Kpler 2026b). Redundancy should therefore be treated as a conditional network property rather than a binary infrastructure attribute.

2.4. Relationship to the Author’s Previous Hormuz Research

Table 1 makes the novelty boundary explicit. The present article uses the author’s prior work as cumulative research, but it does not reuse their dependent variables or principal contributions.

3. Event Architecture and Identification Window, 2023–2026

3.1. Red Sea Disruption as the Pre-Period Benchmark

The empirical window begins with the late-2023 Red Sea shock because it provides a clean benchmark for route-sensitive repricing before the Hormuz closure of 2026. On 15 December 2023, attacks on commercial vessels led Maersk to pause container transits through the Bab el-Mandeb; other major carriers followed, and diversions around the Cape of Good Hope expanded rapidly (Reuters 2023). UN Trade and Development (2024a, 2024b) reports that the disruption materially reduced Suez/Gulf of Aden traffic, lengthened voyages, raised freight and insurance costs, and reduced effective vessel capacity. In the research design, December 2023 is therefore a route-exposure benchmark rather than a generic war date: firms whose trade depends on Red Sea/Suez access should be more sensitive than otherwise similar firms with little route dependence.

This benchmark also demonstrates why physical rerouting is not equivalent to financial neutrality. Rerouting around the Cape preserves cargo movement but ties vessels up for longer, raises fuel and charter costs, changes inventory timing, and increases working-capital requirements. The same logic becomes more acute in 2026, when the primary Gulf chokepoint is constrained and the infrastructure used to avoid it becomes exposed to a second shock. The 2023–2024 episode thus supplies a pre-period for calibrating Red Sea dependence and a conceptual bridge from operational disruption to firm valuation.

3.2. Primary Chokepoint Closure: Hormuz, February–March 2026

The primary-chokepoint event begins on 28 February 2026. Following U.S.–Israeli strikes on Iran, multiple tanker owners, oil majors, and trading houses suspended crude, fuel, and LNG movements through Hormuz, while Iran stated that navigation was closed (Reuters 2026a). By early March, traffic had fallen sharply; the episode subsequently became widely described as an effective closure rather than a complete absence of all vessel movements. For event-study purposes, 28 February is the announcement/suspension date, while robustness windows can begin on 2 March, when the operational collapse in traffic was more clearly observable.

The flow consequences were large enough to reconfigure the surrounding network. EIA data show Hormuz oil flows falling from 14.9 mb/d in 1Q26 to 4.9 mb/d in 2Q26, while Bab el-Mandeb and Cape of Good Hope flows increased (U.S. Energy Information Administration 2026b). That displacement is central to identification: the primary shock increased the option value of routes and infrastructure that could bypass Hormuz, thereby changing the economic significance of any later shock to those alternatives.

Figure 1 visualizes this reallocation. The finance interpretation is not that risk disappeared, but that its location changed. Longer voyages, ship-to-ship transfers, west-coast terminal capacity, war-risk insurance, and alternative-route security became state variables for firms that would otherwise have relied on Hormuz. This shift creates the conditions for testing whether a later detour shock earns an incremental pricing penalty beyond the primary closure itself.

Table 2. Event architecture for the 2023–2026 identification window.

Event date	Route event	Observable treatment	Identification role
15 Dec 2023	Red Sea / Bab el-Mandeb carrier suspensions	Major container carriers pause or divert transits after attacks	Benchmark route shock; tests Red Sea exposure before 2026
28 Feb 2026	Hormuz suspension / closure announcement	Oil majors, traders, and tanker owners suspend movements; Iran states navigation is closed	Primary-chokepoint event for RQ1
20 Jul 2026	Ban on navigation to/from Saudi ports	Houthi maritime-embargo notice; heightened threat to Saudi-linked shipping	Detour operability / insurance shock for RQ2
10–11 Sep 2026	East-West Pipeline attack and shutdown	Multiple pumping stations damaged; Yanbu loadings interrupted	Physical bypass failure; principal detour-failure event
22 Sep 2026	East-West Pipeline partial restart	Pipeline resumes at low rate; Yanbu exports prepared to restart	Symmetric restoration event / sign-reversal test

Table 2. Event architecture for the 2023–2026 identification window.

Event date	Route event	Observable treatment	Identification role
15 Dec 2023	Red Sea / Bab el-Mandeb carrier suspensions	Major container carriers pause or divert transits after attacks	Benchmark route shock; tests Red Sea exposure before 2026
28 Feb 2026	Hormuz suspension / closure announcement	Oil majors, traders, and tanker owners suspend movements; Iran states navigation is closed	Primary-chokepoint event for RQ1
20 Jul 2026	Ban on navigation to/from Saudi ports	Houthi maritime-embargo notice; heightened threat to Saudi-linked shipping	Detour operability / insurance shock for RQ2
10–11 Sep 2026	East-West Pipeline attack and shutdown	Multiple pumping stations damaged; Yanbu loadings interrupted	Physical bypass failure; principal detour-failure event
22 Sep 2026	East-West Pipeline partial restart	Pipeline resumes at low rate; Yanbu exports prepared to restart	Symmetric restoration event / sign-reversal test

3.3. Detour-Failure Events: July and September 2026

The first detour event is 20 July 2026, when the Houthi authorities announced a ban on maritime navigation to and from Saudi ports and warned that relevant vessels could be targeted. INTERTANKO circulated the notice with an effective time of 15:01 Sana’a local time; security provider Ambrey characterized it as a maritime-embargo announcement and noted heightened risk to Saudi-linked vessels and Red Sea ports (Reuters 2026b; INTERTANKO 2026; Ambrey 2026). The announcement is best treated as an operability and insurance shock rather than assumed physical closure: its empirical value lies in whether exposed equities repriced even before a realized loss of throughput.

The second event is physical and more severe. On 10 September, attacks damaged pumping stations on Saudi Arabia’s East-West Pipeline; the system was shut as a precaution and Yanbu loadings ceased after 11 September (I’Anson 2026). Because the pipeline had become a principal workaround for constrained Hormuz traffic, the event is a direct test of correlated redundancy. A symmetric restoration event occurs on 22 September, when Reuters reported that the pipeline restarted at a low rate and Brent prices fell by more than USD 2 per barrel (Reuters 2026c). Together, July, September shutdown, and September restart provide the core events for estimating the detour-failure premium.

4. Conceptual Framework: Dual Chokepoint Exposure

4.1. The Resilience Paradox

The core theoretical proposition is that resilience infrastructure can reduce single-point failure while simultaneously creating hidden network dependence. A pipeline may eliminate one maritime passage from the first leg of a route but require a terminal, an onward strait, a tanker segment, a transfer hub, or a destination-specific logistics chain. In such a system, the relevant object is not backup capacity but independent deliverability.

This distinction matters for finance because asset prices respond to expected cash flows and discount rates, not engineering capacity in isolation. Nominal bypass capacity has value only to the extent that it preserves expected revenue, input availability, production continuity, and financing conditions during the state of the world in which it is needed. If alternative capacity fails precisely when the primary route is stressed, the hedge is positively correlated with the underlying risk. Its insurance value is therefore lower than a nameplate-capacity measure suggests.

Figure 2. Financial transmission of dual-chokepoint stress. Source: Author framework.

Figure 2. Financial transmission of dual-chokepoint stress. Source: Author framework.

4.2. The Dual Chokepoint Exposure Index (DCEI)

Let H_it denote the dependence of firm i at time t on the primary chokepoint, A_it the vulnerability of its alternative route or bypass system, and S_t the intensity of the contemporaneous chokepoint shock. Each component is normalized to the interval [0,1]. The parsimonious DCEI is:

DCEI_it = H_it × A_it × S_t

(1) 

The multiplicative form imposes a theoretically useful discipline. If any one component is close to zero, dual-chokepoint exposure remains low. A firm with high Hormuz dependence but a fully independent and unconstrained alternative has H close to one but A close to zero; a severe geopolitical event that does not affect the firm’s route produces a low H; and a structurally fragile logistics network generates little immediate financial exposure in the absence of a shock. High DCEI is reserved for the conjunction of dependence, detour fragility, and realized stress.

4.3. Independent Deliverable Capacity and Alternative-Route Vulnerability

The alternative-route term should not be coded from nameplate infrastructure capacity alone. Let C^N_it be nominal alternative capacity and let six constraint factors take values between zero and one: terminal availability (T_it), vessel availability (V_it), transfer or lightering availability (L_it), insurance/security operability (I_it), inventory/feed availability (Q_it), and destination/onward-route feasibility (D_it). Independent Deliverable Capacity is defined as:

IDC_it = C^N_it × min(T_it, V_it, L_it, I_it, Q_it, D_it)

(2) 

For empirical work in which exposure must be expressed as a normalized share, define required route capacity R_it and cap the ratio at one:

IDC^*_it = min(1, IDC_it / R_it)

(3) 

Alternative-route vulnerability is then:

A_it = 1 − IDC^*_it

(4) 

The minimum operator reflects the fact that a tightly constrained logistics chain is only as deliverable as its binding bottleneck. A multiplicative alternative can be used as a robustness check when partial degradation at several stages is thought to compound rather than bind. The min specification is intentionally conservative and interpretable: if insurance, terminal feed, or vessel transfer capacity falls to 40 percent of required operation, a nominally large pipeline cannot deliver more than that bottleneck permits without additional adaptation.

4.4. Equity-Market Event-Study Design

RQ1 is tested with firm-level event studies. For each listed firm i, expected returns are estimated over a pre-event window that ends before the information leakage period. A standard market model is:

R_it = α_i + β_i R_mt + ε_it

(5) 

The preferred estimation window is trading days −250 to −30 relative to each event, with sensitivity checks using regional and sector-factor models. Abnormal and cumulative abnormal returns are then calculated as follows:

4.5. The Detour-Failure Premium

Let e index the event and τ the event-time day. Expected returns from Equation (5) generate daily abnormal returns and cumulative abnormal returns (CARs):

AR_i,e+τ = R_i,e+τ − (α̂_i + β̂_i R_m,e+τ)

(6) 

CAR_i,e[a,b] = Σ_(τ=a)^b AR_i,e+τ

(7) 

To identify whether a bypass disruption is priced more severely than a primary-route closure, define Detour_e = 1 for bypass-route impairment events and 0 for primary-route events. The cross-sectional specification is:

CAR_i,e = θ₀ + θ₁ Exposure_i + θ₂ Detour_e + θ₃(Exposure_i × Detour_e) + δ′X_i + μ_s + u_i,e

(8) 

The coefficient θ₃ is the detour-failure premium. For adverse events, θ₃ < 0 indicates that equally exposed firms suffer an incremental valuation loss when the protective route—not merely the primary chokepoint—is impaired. The 22 September pipeline restart provides a sign-reversal test: high-exposure firms should experience relatively positive abnormal returns if restored deliverability is the mechanism. RQ1 also requires a risk response, estimated with changes in realized or idiosyncratic volatility:

Δσ_i,e = φ₀ + φ₁ Exposure_i + φ₂ Detour_e + φ₃(Exposure_i × Detour_e) + κ′X_i + μ_s + ν_i,e

(9) 

Here Exposure_i can be the continuous DCEI score, separate Hormuz and Red Sea exposure measures, or pre-event route-dependence bins. Standard errors should be heteroskedasticity-robust and, where the cross-section permits, clustered by industry or country–industry. Event windows [−1,+1], [−2,+2], and [0,+5] are reported together with placebo dates and alternative benchmarks.

4.6. Subsequent Financing and Risk-Management Decisions

RQ3 moves from market pricing to corporate response. Let Y_i,q+h denote a quarterly policy outcome—cash/assets, inventory/sales, trade-credit receivables or payables, leverage, short-term debt, or capital expenditure—measured h quarters after the shock. The panel specification is:

ΔY_i,q+h = α_i + τ_q + β₁ Shock_q + β₂ DCEI_i,q−1 + β₃(Shock_q × DCEI_i,q−1) + Γ′X_i,q−1 + ε_i,q+h

(10) 

The expected signs are economically specific rather than mechanically uniform: cash buffers and selected inventories may rise, while capital expenditure may fall; trade credit can either absorb or transmit liquidity stress; leverage can rise because firms draw credit lines or fall if lenders retrench. The purpose of RQ3 is therefore to test adjustment margins separately rather than impose a composite corporate-policy index.

4.7. Production-Network Contagion

RQ4 asks whether route shocks propagate to firms that are not directly exposed but transact with firms that are. Let w_ij denote the economic weight of supplier or customer j in firm i’s production network. Network-adjusted exposure is defined as:

NDCEI_it = DCEI_it + λ Σ_j w_ij DCEI_jt

(11) 

A network event-study or panel then interacts the shock with inherited exposure among firms whose direct DCEI is low:

Y_it = α_i + τ_t + ψ₁(Shock_t × NDCEI_it) + ψ₂(Shock_t × DCEI_it) + Ω′X_it + η_it

(12) 

A significant ψ₁ among low-direct-exposure firms is evidence of contagion rather than common direct route exposure. Supplier and customer weights should preferably come from disclosed major-customer/supplier relationships, commercial supply-chain datasets, or input–output mappings, with sensitivity checks across alternative network definitions.

4.8. Hypotheses

H1 (route-exposure pricing). Around closure or suspension events, firms with greater Hormuz or Red Sea exposure experience more negative CARs and larger increases in volatility.

H2 (detour-failure premium). Conditional on exposure, bypass-route disruption produces a larger adverse equity response than primary-chokepoint closure; θ₃ in Equation (8) is negative for adverse detour events.

H3 (corporate adjustment). Higher DCEI predicts stronger post-shock changes in precautionary liquidity, inventory policy, trade credit, leverage, and capital expenditure.

H4 (network contagion). Firms with low direct DCEI but high customer/supplier NDCEI experience statistically detectable valuation or operating spillovers after route shocks.

5. Measurement, Sample Construction, and Estimation

5.1. Unit of Analysis and Candidate Sample

The preferred sample comprises listed non-financial firms in Saudi Arabia, the United Arab Emirates, Qatar, Oman, Kuwait, and Bahrain from 2023 through 2026, with optional extension to major non-GCC customers and suppliers. The design is especially relevant to energy producers, petrochemicals, refining, shipping, ports, logistics, aviation, utilities, fertilizers, metals, and energy-intensive manufacturers. Financial firms are excluded from the baseline because their balance sheets and leverage are not directly comparable, but they can be studied separately as a credit-transmission channel.

A Gulf focus offers both substantive and identification advantages. Firms share regional geopolitical news but differ in trade-route dependence, terminal geography, export destination, feedstock sourcing, and access to west-coast, east-coast, or overland infrastructure. Daily adjusted equity prices and market indices can be drawn from exchange feeds, LSEG/Datastream, Bloomberg, Refinitiv Eikon, S&P Capital IQ, or an equivalent auditable source; quarterly accounting variables can be obtained from the same providers or audited filings. Route exposure should be coded from annual reports, prospectuses, segment disclosures, shipping data, port statistics, and supply-chain databases using information available before each event wherever possible.

5.2. Coding Primary-Route Dependence H

H_it should be transparent and replicable. The preferred measure is the share of economically material input or output flow that requires the primary chokepoint under normal operating conditions. When physical volume data are unavailable, a scored measure can combine export geography, import feedstock dependence, plant location, port use, and disclosed logistics arrangements. A recommended coding protocol is shown in Table 3.

5.3. Coding Alternative Vulnerability A

A should be derived from IDC rather than from a binary indicator for the presence of a bypass. Evidence should be drawn from pipeline throughput, port and terminal availability, inventory, tanker requirements, charter conditions, insurance notices, transfer capacity, and destination constraints. For Saudi westbound crude, for example, the East-West system provides substantial physical capacity, but the September episode showed that pumping stations, Yanbu inventories, northbound/southbound shipping options, and STS alternatives can become binding. For UAE exports, the Fujairah route bypasses Hormuz physically, but spare capacity and downstream shipping remain relevant (U.S. Energy Information Administration 2025, 2026a).

5.4. Shock Intensity S

S_t can be built from observable stress indicators rather than subjective narrative coding. Candidate components include the change in daily vessel transits, the percentage loss of route throughput, a route-specific security-event dummy, tanker freight premia, war-risk insurance premia, and a country-specific or regional GPR index (Caldara and Iacoviello 2022). A standardized composite can be constructed using principal-components analysis or equal weights. For event studies, S_t can be binary and the cross-sectional variation can come from DCEI_i.

5.5. Financial Outcomes

Table 4. Candidate dependent variables and sign predictions.

Outcome family	Preferred measures	Expected direction under higher DCEI
Equity valuation	Abnormal return; CAR; Tobin’s Q; market-to-book	Negative
Equity risk	Realized volatility; idiosyncratic volatility; downside beta	Positive
Credit risk	CDS spread; bond spread; rating watch/downgrade	Positive
Liquidity / funding	Bid–ask spread; turnover shock; short-term borrowing cost	Adverse
Corporate policy	Cash/assets; inventory/sales; trade credit; leverage; short-term debt; capex	Cash/inventory often ↑; capex often ↓; credit/leverage responses theoretically ambiguous
Operating transmission	Margins; inventory days; transport cost; revenue delay	Adverse for exposed firms

Table 4. Candidate dependent variables and sign predictions.

Outcome family	Preferred measures	Expected direction under higher DCEI
Equity valuation	Abnormal return; CAR; Tobin’s Q; market-to-book	Negative
Equity risk	Realized volatility; idiosyncratic volatility; downside beta	Positive
Credit risk	CDS spread; bond spread; rating watch/downgrade	Positive
Liquidity / funding	Bid–ask spread; turnover shock; short-term borrowing cost	Adverse
Corporate policy	Cash/assets; inventory/sales; trade credit; leverage; short-term debt; capex	Cash/inventory often ↑; capex often ↓; credit/leverage responses theoretically ambiguous
Operating transmission	Margins; inventory days; transport cost; revenue delay	Adverse for exposed firms

5.6. Identification Strategy

The identification strategy exploits the sequencing of distinct route events rather than treating the entire conflict as one treatment. The December 2023 Red Sea suspension establishes a route-specific benchmark; the 28 February 2026 Hormuz event identifies primary-chokepoint exposure; the 20 July Saudi-port ban and 10–11 September pipeline disruption identify detour impairment; and the 22 September restart supplies a symmetric restoration test. Event fixed effects absorb common market news, while exposure interactions identify heterogeneous sensitivity. Oil-price beta, country, industry, firm size, leverage, cash, export intensity, and pre-event volatility are included as controls where appropriate.

Causal interpretation still requires caution because major geopolitical events generate simultaneous macro news. The design therefore uses several safeguards: narrow event windows; alternative regional and global market models; placebo dates; pre-trend checks; exclusion of firms with confounding earnings or corporate announcements; oil- and sector-beta controls; separate tests for upstream and downstream firms; and sign symmetry around damage and restoration events. The detour-failure coefficient is strongest when it is concentrated in firms whose pre-event disclosures indicate reliance on the affected route and reverses sign when deliverability is restored.

Robustness tests should additionally vary DCEI weights, substitute nominal bypass capacity for IDC, winsorize exposure and accounting variables, exclude state-dominated issuers, and estimate randomization-inference or permutation p-values when the effective event count is small. For RQ3, quarterly specifications should include firm and calendar-quarter fixed effects and, where feasible, matched low-exposure firms. For RQ4, network results should be reported separately for direct suppliers, direct customers, and second-order links.

6. Documented Event Evidence and Testable Predictions

6.1. The 2023–2024 Red Sea Shock Establishes Route-Sensitive Cost Transmission

The late-2023 Red Sea disruption establishes that maritime-route risk can change freight, insurance, transit time, and effective vessel capacity without eliminating trade. UN Trade and Development (2024a, 2024b) documents sharp reductions in Suez/Gulf of Aden traffic, rapid Cape rerouting, longer voyages, and higher transport costs. For the proposed equity tests, this episode is valuable because firms can be sorted on Red Sea/Suez dependence before the much larger Gulf shock of 2026. The prediction is cross-sectional: firms with greater route dependence should display larger abnormal returns and volatility responses than firms sharing the same broad geopolitical news but not the same logistics exposure.

6.2. Hormuz Closure Raises the Option Value of Bypass Capacity

The February–March 2026 Hormuz disruption sharply increased the economic value of alternative export routes. EIA flow data show Hormuz throughput falling from 14.9 mb/d in 1Q26 to 4.9 mb/d in 2Q26 while traffic through Bab el-Mandeb and around the Cape increased (U.S. Energy Information Administration 2026b). This is the state in which bypass capacity becomes a real option: its marginal value rises because the primary route is constrained. The empirical prediction is therefore not merely that Hormuz-exposed firms reprice, but that firms possessing genuinely independent alternatives should reprice less adversely than firms whose alternatives remain coupled to the same conflict system.

6.3. July–September 2026 Provides the Detour-Failure Test

The July maritime-ban announcement and September East-West Pipeline disruption supply the critical second-stage treatments. The July notice increased the perceived risk of Saudi-linked Red Sea operations even before a universal physical stoppage, making it useful for testing whether equity and insurance channels respond to operability risk. The September pipeline attack then removed a large component of actual bypass capability and interrupted Yanbu loadings (INTERTANKO 2026; I’Anson 2026). The partial restart on 22 September moved oil prices in the opposite direction (Reuters 2026c). These three events form a compact quasi-experimental sequence: threat to the detour, realized detour failure, and restoration. The proposed θ₃ coefficient in Equation (8) summarizes the incremental market penalty associated with that sequence.

6.4. Scenario Matrix

Table 5. DCEI scenario logic. Values are conceptual, not estimated firm scores.

Scenario	H	A	S	DCEI implication	Expected financial response
Normal operations, reliable bypass	High	Low	Low	Low	Ordinary energy/market beta dominates
Primary chokepoint shock, reliable bypass	High	Low	High	Moderate/low	Resilience offsets shock; smaller abnormal loss
Primary shock + constrained bypass	High	High	High	Very high	Largest negative CAR / volatility / credit response
Bypass failure without primary stress	Moderate	High	Moderate	Moderate	Localized operational effect, lower systemic premium
Low direct exposure, high partner exposure	Low direct	Varies	High	Low DCEI but high NDCEI	Network spillover rather than direct effect

Table 5. DCEI scenario logic. Values are conceptual, not estimated firm scores.

Scenario	H	A	S	DCEI implication	Expected financial response
Normal operations, reliable bypass	High	Low	Low	Low	Ordinary energy/market beta dominates
Primary chokepoint shock, reliable bypass	High	Low	High	Moderate/low	Resilience offsets shock; smaller abnormal loss
Primary shock + constrained bypass	High	High	High	Very high	Largest negative CAR / volatility / credit response
Bypass failure without primary stress	Moderate	High	Moderate	Moderate	Localized operational effect, lower systemic premium
Low direct exposure, high partner exposure	Low direct	Varies	High	Low DCEI but high NDCEI	Network spillover rather than direct effect

7. Discussion

7.1. What DCEI Adds to Supply-Chain Finance

DCEI contributes to supply-chain finance by distinguishing the severity of a shock from the architecture through which a firm is exposed. Existing work shows that disruptions reduce shareholder value and propagate through supplier networks (Hendricks and Singhal 2003, 2005; Baghersad and Zobel 2021; Acemoglu et al. 2012; Carvalho et al. 2021). The detour-failure premium adds a second-order proposition: a resilience asset can itself become a priced source of risk when its payoff is negatively aligned with the state in which it is needed. In finance terms, the question is not whether a hedge exists, but whether the hedge delivers in the bad state.

The implication extends beyond Gulf energy. Semiconductor supply chains may diversify fabrication while remaining dependent on the same shipping lanes; cloud infrastructure can distribute data across centers that share power or fiber dependencies; and manufacturers can add suppliers whose upstream inputs originate from the same region. The generic question is whether nominal diversification produces independent deliverability. DCEI is therefore a maritime application of a broader correlated-redundancy problem.

7.2. Implications for Investors and Lenders

For equity investors, route exposure should be treated as both a cash-flow and discount-rate variable. High-DCEI firms can face volume losses, freight and insurance inflation, longer cash-conversion cycles, emergency inventory needs, and higher earnings uncertainty. The event-study design separates this firm-specific channel from the common oil or market shock. RQ3 then asks whether firms respond by accumulating liquidity, altering inventories and trade credit, drawing debt, or delaying investment—linking short-window asset pricing to subsequent financing decisions.

For lenders and credit analysts, the framework shifts due diligence from supplier concentration alone toward route concentration and detour independence. Huang (2025) shows that geopolitical supply-chain exposure is reflected in CDS markets. The same logic implies that a firm whose ‘backup’ route shares terminals, insurance constraints, or conflict exposure with the primary route may deserve a different liquidity covenant or stress-test assumption than a firm with independent deliverability.

7.3. Implications for Insurers and Maritime Risk Pricing

Insurers sit directly on the transmission path. War-risk premia can make a physically open route economically unattractive; they can also shift vessel behavior and reduce effective capacity. Because insurance is included in IDC, changes in coverage availability or premium levels are not peripheral financial consequences but part of the resilience mechanism itself. A future empirical extension could use war-risk quote data to test whether insurance reprices before equity markets or whether it amplifies existing market stress.

7.4. Policy and Infrastructure Implications

For Gulf policymakers, the framework changes the metric of strategic infrastructure. The policy objective should not be to maximize nominal bypass capacity, but to maximize independently deliverable capacity under plausible joint-stress scenarios. That requires spare pumping and terminal capacity, distributed inventories, repair capability, redundant power and control systems, secure communications, sufficient tanker and lightering capacity, insurance continuity, and destination flexibility. An infrastructure corridor that depends on one vulnerable pumping cluster or a congested transfer hub may be less resilient than its nameplate capacity implies.

This point complements, rather than replaces, the governance argument developed in the author’s Oman study (Abdullah 2026c). Maritime diplomacy, incident-prevention mechanisms, and predictable transit rules can reduce shock intensity, while infrastructure investment can reduce alternative-route vulnerability. The finance framework clarifies how those governance improvements can become observable in the cost of capital and market valuation.

The argument also links to the author’s work on Islamic sustainable finance (Abdullah 2026d). If sukuk or other long-dated instruments finance resilience infrastructure, project appraisal should test independent deliverability rather than count nominal capacity. Financing a second route that remains operationally coupled to the same terminals, insurance market, or onward chokepoint can create the appearance of diversification without delivering the intended risk reduction.

7.5. Disclosure and Corporate Governance

Corporate disclosure is another implication. Annual reports often discuss geopolitical risk in broad language while providing limited information on route dependence, alternative capacity, inventory duration, or the operational conditions required for rerouting. A DCEI-oriented disclosure regime would not require firms to reveal sensitive security information. It would require decision-useful ranges: percentage of critical flow exposed to major chokepoints; available alternative throughput as a share of requirements; key non-sensitive bottlenecks; inventory coverage; and stress-test assumptions. Such disclosures would allow investors to distinguish genuine resilience from generic risk-language boilerplate.

8. Limitations and Research Agenda

This article has four limitations. First, it is designed as a methodological and event-architecture contribution and does not invent firm-level regression coefficients that have not been estimated from an auditable equity and supply-chain dataset. Its value is the pre-specified identification strategy, exposure construction, and documented event sequence. A fully empirical follow-on should populate Equations (5)–(12) with exchange or licensed market data and archive the exposure coding. Second, firm route dependence is incompletely disclosed and therefore requires transparent coding, dual review where feasible, and sensitivity analysis. Third, geopolitical events create simultaneous macro news, making narrow windows and placebo tests essential. Fourth, supply-chain networks are partly endogenous because firms can change suppliers and routes after shocks; pre-event network snapshots should therefore be preferred for causal tests.

The central empirical risk is measurement error. Route exposure should therefore be coded from information available before the relevant event; volume-based measures should be preferred to subjective scores; and all scored measures should be accompanied by a replicable coding protocol. Results should be reported using both continuous exposure and coarse low/medium/high bins so that inference does not depend on a single cardinal scale.

A particularly promising research agenda concerns the market value of independent redundancy. If investors distinguish nominal capacity from IDC, firms with independently deliverable alternatives should experience smaller risk discounts during chokepoint stress. A second agenda concerns endogenous resilience: whether firms learn from 2023–2026 by increasing inventories, relocating suppliers, changing contract terms, or investing in route-independent logistics, and whether those adaptations subsequently reduce exposure betas.

9. Conclusions

The 2023–2026 sequence of Red Sea disruption, Hormuz closure, Saudi-port restrictions, and East-West Pipeline impairment exposes a weakness in the conventional language of supply-chain resilience. Alternative infrastructure is not automatically independent infrastructure. A route can bypass one chokepoint yet remain exposed to another, depend on a vulnerable terminal, require scarce tanker or transfer capacity, or become commercially unusable because war-risk insurance and security conditions deteriorate.

This paper translates that insight into financial research through DCEI and IDC and organizes the empirical problem around four questions: abnormal returns and volatility, the incremental detour-failure premium, subsequent financing decisions, and production-network contagion. Equations (5)–(12) provide a directly estimable architecture for each question, while the 2023–2026 event sequence supplies distinct primary-shock, detour-shock, and restoration dates.

The documented evidence supports the relevance of the mechanism without substituting narrative evidence for econometric estimates. Red Sea disruption increased voyage time and transport costs; Hormuz traffic collapsed after February 2026; the value of Saudi bypass capacity rose; the July maritime ban impaired perceived Red Sea operability; the September pipeline attack removed physical bypass capacity; and restart news moved global oil prices. The finance implication is testable and consequential: the value of resilience lies in independent deliverability in the bad state, not in the number of alternatives shown on an infrastructure map.