| As the cultural industry continues to develop with the attention of countries around the world,the art market,as an important part of the cultural industry,has also seen an unprecedented period of prosperity and development.At this stage,the development of China’s art market is at a critical stage,and the pricing of artworks has received widespread attention.However,China’s artwork value assessment relies excessively on the subjective judgment of experts,making it difficult to obtain an objective and reasonable price;at the same time,there is a serious information asymmetry in the art market,resulting in artwork prices often deviating seriously from artwork values,making the art market form a certain obstacle in its development.Therefore,in order to promote the development of the domestic painting art market,a systematic artwork price evaluation system must be formed,and a scientific,reasonable and accurate pricing analysis method for Chinese painting artworks must be explored on the basis of sorting out the factors influencing artwork prices.The main research work of this thesis is as follows.First,by combing domestic and foreign literature on art pricing,studying the current situation of China’s art trading market,analyzing the characteristics of factors influencing the price of Chinese painting artworks;collecting information from websites such as Artron Art to obtain data on art prices and their characteristic variables,further analyzing and determining the range of values of variables,and taking macroeconomic factors,painter attributes,painting attributes,and auction attribute factors as the basis to initially To construct a value index system for Chinese painting artworks.Secondly,using the gray correlation method,we quantified the variable values of qualitative variables,followed by combining quantitative variables to analyze the gray correlation of each characteristic variable,and obtained the correlation of each variable led by painting material,GDP per capita,and painting size,followed by the selection of significant variables to further optimize the index system of domestic painting artwork value.Third,based on support vector machine regression,the pricing model constructed by seven kernel functions is parameter searched and compared,and the expression of symmetric triangular kernel function with the optimal parameters is finally determined,and the SVR Chinese painting artwork pricing model constructed by this method has the best fitting effect.The comparison with the GM(1,N)prediction model shows that the SVR model exhibits better validity and accuracy in prediction,and is more comprehensive in the selection of variables.The pricing method of Chinese painting artworks based on gray correlation analysissupport vector machine regression algorithm provides a scientific,reasonable and accurate pricing analysis idea for the art market,and provides a certain practical reference for pricing research and trading of Chinese painting artworks. |
