This study made use of transaction records, as well as detailed descriptions of the content of the transactions, from the sale by auction of Doucai porcelains by the international auction houses Christies and Sotheby’s over the 10-year period between 2004 and 2013. This information was used to create a database with 310 entries. Then, with the aim of deriving a valuation model, statistical methods were used to categorize, collate, and analyze the factors that affect the price of Doucai porcelains. This study begins by using historical transaction volume data, data on total prices paid, and the percentage by which anticipated prices were exceeded to examine the overall state of the Doucai porcelains auction market. Finally, a multiple regression analysis is used to establish a valuation model that may be used as a reference by interested parties in the future. The analysis shows that, in the Doucai porcelains auction market, the percentage by which anticipated prices were exceeded increased slightly over the ten-year period. The transaction volume depended on the degree of excellency of the porcelains. After the global financial crisis of 2008, the transaction volume of the Doucai porcelain market increased to a peak in 2011. This study used statistical analysis to search for correlations between the auction house, the size of the Doucai porcelain, the period in which the Doucai porcelain was created, the quantity of the Doucai porcelain, the presence or absence of inscriptions on the Doucai porcelain, the reserve price, the anticipated highest bid, and the actual transaction price. The multiple regression model shows that the actual transaction price was affected by 81.1% by two factors, the reserve price and the quantity of the Doucai porcelain. The model equation is as follows: Y=67138.017 X_3(the quantity of the Doucai porcelain)+ 1.825 X_6(the reserve price)34288.950