ETFs that offer exposure to crude oil typically use futures to gain exposure to crude. Using futures and rolling from one contract to another as it nears expiration eliminates the messy storage problem. Futures returns have three components. First when you fund a futures account, you buy short-term treasury bills (usually 3-month or 6-month) that can be used as collateral for trading futures. Changes in spot prices are the next component and the only one most people consider. Finally there's a roll yield determined by the term structure of the futures contract. When distant contracts are priced less than near contracts (backwardation), you'll realize a positive roll yield and when distant contracts are higher than near contracts (contango), you'll realize a negative roll yield.
If you read the fine print in ETF prospectuses, you can find out what "index" each ETF attempts to track. The United States Oil Fund (USO - Get Report) and the iPath S&P GSCI Crude Oil Total Return Index ETN (OIL) rolls front-month crude futures. The PowerShares DB Oil Fund (DBO - Get Report), uses a roll-optimized strategy. When it's time to roll, rather than simply rolling to the next month contract, DBO looks at the crude oil term structure and find the contract that will maximize backwardation or minimize contango (as is the case currently). Here are the year-to-date returns for each:This shows the significance of an effective roll strategy. I recommend the PowerShares family of commodity ETFs as a better way to get commodity exposure without having to trade futures. PowerShares also offers the DB Energy Fund ( DBE - Get Report), DB Base Metals Fund ( DBB - Get Report), DB Agriculture Fund ( DBA - Get Report), DB Silver Fund ( DBS - Get Report), DB Precious Metals Fund ( DBP - Get Report), and DB Commodity Index Tracking Fund ( DBC - Get Report).
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Tim has a B.S. in math from the University of Texas and a master's in statistics from Columbia University. He currently runs his own CTA after being a futures portfolio manager for several well-known hedge funds. Tim's foundational approach is that statistical trading must be grounded in financial and economic intuition. His writings are an exploration of both markets and quantitative methods.
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