Is Comex About to Run Out of Silver?

Key Concepts

• ComX: The Commodity Exchange Inc., a major silver futures market.
• Open Interest: The total number of outstanding futures contracts for a commodity.
• Registered Silver: Silver certified and available for delivery against futures contracts.
• Eligible Silver: Silver that meets certain requirements but isn’t yet registered for delivery.
• First Notice Day: The first day on which holders of futures contracts can give notice of their intention to take or make delivery.
• Delivery Rate: The percentage of open contracts that result in actual delivery of the underlying commodity.
• Minor vs. Major Month: Categorization of trading months on the ComX, impacting participation and delivery rates.
• Warehouse Receipt: A document representing ownership of a commodity stored in a warehouse.

ComX Silver: Separating Fact from Fiction Regarding Potential Default

This analysis addresses recent concerns about a potential default by the ComX (Commodity Exchange Inc.) in March due to perceived silver supply shortages. The core argument is that while data presented by others appears alarming, a closer examination reveals the risk of default is significantly overstated.

The Initial Concerns & Data Presented

The discussion originates from circulating claims, exemplified by a tweet highlighting a potential “stress test” for ComX silver in March. The core of the concern revolves around a perceived imbalance between demand and supply:

• Demand: Approximately 400 million ounces of open interest for March contracts.
• Supply: Roughly 100 million ounces of registered silver inventory. Adding eligible silver brings the total to around 390 million ounces, still short of the open interest.
• Delivery Rates: February delivery rate reached 98%, and January deliveries surged to 49 million ounces (seven times higher than two years prior).
• Inventory Drain: Silver inventory is depleting at a rate of 780,000 ounces per day.
• Scenario Analysis: At 25-70% delivery rates, demand would range from 100-300 million ounces against the available 85-100 million ounces.

These figures, initially presented by Clive Thompson in a video, are acknowledged as being based on real data. However, the analysis contends that the interpretation of this data and a subsequent “logical leap” lead to an inaccurate conclusion.

Debunking the 98% Delivery Rate Claim

The analysis focuses on scrutinizing the claim that 98% of February open interest resulted in delivery. The initial calculation used by Thompson (18 million deliveries out of 19 million open interest) was found to be flawed due to a misunderstanding of how open interest functions.

• Open Interest as a Flow, Not a Stock: Open interest isn’t a static stockpile but a dynamic flow of contracts. It’s likened to a bathtub with water flowing in (new contracts) and out (deliveries or rollovers).
• Denominator Error: Thompson’s calculation incorrectly used a snapshot of open interest at a single point in time as the denominator, rather than the total delivery-eligible open interest throughout the entire period.
• Corrected Calculation: A proper calculation, accounting for the entire flow of contracts, would reveal a significantly lower delivery percentage than 98%. While the exact number isn’t publicly available, it’s asserted to be substantially less.

February vs. March: A Fundamental Difference

Even if the 98% delivery rate were accurate, the analysis argues that February and March are fundamentally different months, making a direct comparison misleading.

• Minor vs. Major Month: February is classified as a “minor” month with lower trading volume and participation, while March is a “major” month, historically the most popular.
• Investor Profile: Those holding contracts in February after the first notice day are primarily commercial entities seeking delivery. In contrast, March attracts a broader range of participants (banks, hedge funds, etc.) for whom delivery is merely an option, not the primary goal.
• Delivery as Destination vs. Option: February is often a “destination” month for delivery, while March offers multiple exit strategies. Consequently, the delivery percentage in March is expected to be lower despite higher overall participation.

The Nature of ComX Deliveries

A crucial point is made regarding the physical movement of silver during ComX deliveries.

• Transfer of Ownership, Not Physical Silver: A ComX delivery involves a transfer of ownership of a warehouse receipt, not the physical silver itself. The silver remains in the vault unless the new owner chooses to withdraw it.
• Warrant Transfers: The same warehouse receipt can change hands multiple times without the physical silver moving. High delivery numbers don’t necessarily indicate a depletion of physical silver.

Probability of Default & Potential Consequences

The analysis concludes that the probability of a March ComX default is extremely low, estimated at approximately 0.001% (one in 10,000). However, it strongly cautions against wanting a default.

• Negative Consequences of a Default: A ComX default wouldn’t lead to infinite silver prices. Instead, it would create market chaos, making it difficult to sell silver, potentially leading to confiscation or nationalization of precious metals, and the imposition of restrictive regulations.
• Desired Outcome: The ideal scenario is a fair repricing of silver through normal market mechanisms, allowing for profitable sales and continued market functionality.

Further Research & Thesis Reinforcement

The analysis encourages viewers to revisit a previous video outlining the five trends driving the silver market and supporting the expectation of higher prices, emphasizing that the focus should be on a healthy market, not a catastrophic breakdown. (“silver price prediction 2026 video”).

Logical Connections

The analysis proceeds logically by first identifying the core concern, then systematically dismantling the supporting arguments. It begins with the data presented by Thompson, then dissects the flawed calculations and misinterpretations, and finally addresses the broader implications of a potential default. The bathtub analogy effectively illustrates the concept of open interest as a flow rather than a static stock.

This detailed examination aims to provide a more nuanced and accurate understanding of the situation, moving beyond sensationalized claims and focusing on a data-driven assessment of the risks.