When COE Quota Rises, Must Premiums Fall?
Why a quota increase is not a guaranteed price cut, and what a reproducible quota-versus-premium comparison would need to measure.
More certificates can ease competition if other bidding conditions stay the same. In an actual exercise, those other conditions can change. A larger quota therefore does not guarantee a lower premium or establish a percentage chance of saving by waiting.
Start with category-specific supply
A total allocation can rise while your category falls. Compare the same category across complete LTA allocation windows, not calendar quarters or rounded per-exercise estimates. For February–April 2026, the total was 18,824; Category A’s three-month allocation was 7,585. Roughly 1,264 was an exercise-sized figure, not its monthly supply.
Define the price comparison before calculating it
Possible outcomes include the first exercise under the new quota, the period’s mean premium, or the change over a later fixed number of exercises. These measure different things. Selecting the most favourable horizon after seeing the result can exaggerate apparent predictive power.
Record announcement dates, implementation windows, category definitions and missing exercises. Explain whether the calculation uses announced allocation or actual exercise quota. If a year includes policy changes, either account for them or disclose that the sample mixes different regimes.
Why a higher quota may accompany a higher price
Suppose a hypothetical pool grows from 100 to 110 certificates while the number of bids rises from 150 to 200. The bids-per-certificate ratio increases from 1.50 to about 1.82 despite the extra supply. Even that does not determine the price: the reserve distribution matters.
This example explains why supply alone is insufficient. It does not demonstrate the motives of real bidders, how dealers respond to announcements or how many weeks a price adjustment should take.
What this article does not claim to have measured
The earlier 68%, 73% and 74% predictive success rates, the 7.8% response and the claimed 96-observation study were not supported by a reproducible dataset and calculation. They have been withdrawn. The archive can support a properly specified descriptive study, but the existence of data is not evidence that such a study has been completed.
A practical use for quota information
Review the relevant allocation and your delivery deadline. Get a revised quotation after an exercise instead of assuming a quota headline passes straight through to retail price. A firm affordable maximum and a transport alternative remain useful even when the directional outlook is uncertain.
Compare actual supply on Quota Watch and premiums in the results archive. Treat PQP separately: it averages previous premiums for renewal and cannot prevent a new-auction price from falling.
Sources and review date
Reviewed on 13 September 2026. Historical results retain their exercise dates; worked budgets are assumptions, not quotations.