Performance Evaluation of Tehran Painting Auction House

The study intends to review the performance of painting auction in Tehran and to determinewhich painting work is sold beyond the predicted value by the equation extracted fromexisting theories and whether there is a pattern between these works.To do this, we extracted a regression model with the help of the existing theories. Theregression model expresses the relationship between the sale price of an artwork in thepainting auction as the dependent variable and the artist s name, the painting form, year ofsale, the year of creation of the work of art, and explanatory notes on the history of the sale ofthe artist s works in international markets as independent variables.With the implementation of the model, the variables oil color , acrylic and statue styleare excluded because they are not significant and the model is re-executed with othervariables. The results indicate that the artist s name, especially Sohrab Sepehri and SeyedMohammad Ehsai, have the greatest impact on the price of artwork. Also, the sales price isinversely correlated with the style of photo and print , the year of creation, and year of sale.The extracted model made it possible for us to estimate sales prices and compare themwith real sales prices and extract items that are sold above theestimated price.However, theresults do not show a clear pattern among these. The number of works sold at a price abovethe forecasted price for most artists is almost equal to the number of works sold below theforecasted price. And in the case of three artists, Sohrab Sepehri, Parviz Tanavoli andBahman Mohasses, the number of works sold below the forecasted price is higher than thenumber of works sold at a price well above the expected price. In terms of the form of workand the existence of an explanation about attending international markets, the number ofworks sold at a price below the forecasted price is higher than those sold at a price well abovethe forecasted price.

کلیدواژه ها:

Painting auction ، price estimation ، performance evaluation