Wednesday, September 25, 2013
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U.S. Energy: Understanding the “Change of the Stock Change”

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While avid college football fans eagerly await the Tuesday morning update of team rankings, crude oil and petroleum product market watchers often focus on the Wednesday morning release of the U.S. Energy Information Administration’s (EIA) Weekly Petroleum Status Report (WPSR).

Although the WPSR provides comprehensive details about U.S. crude oil and key petroleum products covering all sectors of the primary supply chain, many analysts often focus exclusively on the crude oil inventory change data point, using falling or rising crude stocks as an indicator of the relative tightness or looseness of crude oil markets. As a result, the release of weekly crude oil stocks data sometimes has a noticeable impact on crude oil price formation, so it is important to understand how to assess the weekly change in stocks, also known as the “change in the stock change,” within the context of the weekly supply-demand balance.



EIA collects weekly data on gross imports of crude and petroleum products, crude and product inventories and refinery crude runs. EIA estimates weekly U.S. crude production and crude oil and petroleum product exports.

The weekly U.S. crude balance shows how crude oil consumption, represented by refinery runs, is supplied by domestic crude production and net crude imports. If these crude supply sources exceed refinery consumption for a week, any extra barrels go into storage, causing crude inventories to rise. If crude production and net imports are less than what refineries require for a given week, inventories are drawn down to meet their input requirements and maintain market balance (Figure 1).

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Click Image to Enlarge

As a simplified example, assume the United States produces 7 million barrels per day (bbl/d) of crude oil while net crude oil imports are 8 million bbl/d, making available supplies from these sources total 15 million bbl/d. At the same time, if refinery demand for crude oil during the week is 16 million bbl/d, the 1 million bbl/d (7 million barrels for the week) supply shortfall would need to be met by drawing down inventories (Figure 2). Another way of stating this is that given the volume of imports and domestic production that week, crude oil inventories needed to be drawn down by 1 million barrels per day (7 million total for the week) in order to balance refinery demand that week with available crude oil supplies.

click to enlarge

Click Image to Enlarge

To fully appreciate the non-intuitive but key impact of how the “change of the change” in stock levels affects weekly crude oil balances, one needs to consider how much stocks changed in the prior week in order to properly analyze the current week’s change in stocks that is required to balance the crude market. When done this way, the impact of the change of the stock change becomes clear.

Using the example from above, which requires stocks to fall by 1 million bbl/d, assume that the following week (Week 2) refinery crude runs remain at 16 million bbl/d, domestic crude oil production remains at 7 million bbl/d, while net crude imports rise by 700,000 bbl/d and now total 8.7 million bbl/d (Figure 3). Crude supply (production plus net imports) is now 15.7 million bbl/d, which is still 300,000 bbl/d less than refinery runs. Thus, even though net imports increased by 700,000 bbl/d in week 2, crude stocks will still need to fall by 300,000 bbl/d, or roughly 2 million barrels for the week, in order to balance the market.

click to enlarge

Click Image to Enlarge

The change of the change in stocks reflects the weekly increase in import volumes by showing a much smaller decline in crude inventories than the prior week, but the supply-demand balance still requires a draw in stocks to satisfy weekly refinery input demand in this example. Casual observers are often puzzled by a weekly stock draw during a week when crude imports have risen, which is why understanding the change in the stock change is crucial to properly analyzing weekly petroleum supply and consumption data.

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