美國期貨業協會 (Futures Industry Association, FIA) 統計資料顯示，至2010年底，中國商品期貨市場規模已經超越美國，成為全球最大商品期貨市場。然而，中國期貨市場發展至今，中國尚無一具有公信力的商品指數能反映大宗商品價格趨勢。目前，美國較具有代表性的商品指數S&P GSCI、DJ-UBS CI與TRJ/CRB等，其衍生性商品已於芝加哥商品交易所或紐約期貨交易所交易。
　　Bodie and Rosansky (1980)、Kaplan and Lummer (1998)、Gorton and Rouwenhorst (2006) 研究發現，視商品為一種資產，基於其與股票及債券間負相關之特性，將商品加入股票與債券的投資組合中，可以降低投資組合風險，提高效率；商品為一實質資產，因此能反映通貨膨脹的變化，商品與通貨膨脹率正向相關，可有效規避通貨膨脹風險。
　　本研究以提升投資組合效率及規避通貨膨脹風險為目的建構兩種中國商品指數。指數編製以長期持有期貨為基礎，然而，期貨合約有特定的到期日，因此，期貨合約到期前必須進行轉倉。期貨合約報酬包含轉倉報酬與資本報酬，長期持有期貨下，應將轉倉報酬納入指數的編算。S&P GSCI、DJ-UBS CI與TRJ/CRB皆每月轉倉一次，使用近月合約價格編製商品指數。然而，中國商品期貨合約交易通常具有週期性，並非近月合約有最大交易量，因此，不適合以近月合約價格建構商品指數。於此研究中，我們依據商品期貨合約交易的規律性訂定不同的轉倉方式，並依提升投資組合效率及規避通貨膨脹風險之目的彙編中國商品指數。

Based on the information from Futures Industry Association (FIA), the scale of the commodity futures market in China exceeded the U.S. and let the former become the largest commodity futures market in the world at the end of 2010. However, the commodity index in China has not been well established such that it is not recognized as the reliable measure of general commodity price movement.
Bodie and Rosansky (1980), Kaplan and Lummer (1998) and Gorton and Rouwenhorst (2006) pointed out that stocks and bonds are negatively correlated with commodity futures. As a result, a mixed portfolio of stocks and commodity futures are more efficient than a stand-alone stock portfolio. In addition, commodity is a real asset such that their price can reflect the variation of inflation. The positive correlation of commodity futures with inflation can also provide a good inflation hedge.
We constructed the China Commodity Indexes that are designed to improve the efficiency of portfolio and provide a hedge against inflation. In order to maintain a long position of futures continuously, investing in futures requires that the investor roll his or her exposure. The futures return consists of rolling return and capital gain and we calculate the futures return including rolling return. S&P GSCI, DJ-UBS CI and TRJ/CRB are calculated by rolling the first nearby futures contracts monthly. However, the first nearby futures contract is not the highest volume of contract in the market of China’s commodity futures. We set a specific rolling method in the light of commodity trading characteristics and established the China Commodity Indexes that are focused on the efficiency of portfolio and inflation hedge.

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