چكيده فارسي :
The study intends to review the performance of painting auction in Tehran and to determine which painting work is sold beyond the predicted value by the equation extracted from existing 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. The regression model expresses the relationship between the sale price of an artwork in the painting auction as the dependent variable and the artist s name, the painting form, year of sale, the year of creation of the work of art, and explanatory notes on the history of the sale of the artist s works in international markets as independent variables.
With the implementation of the model, the variables oil color , acrylic and statue style are excluded because they are not significant and the model is re-executed with other variables. The results indicate that the artist s name, especially Sohrab Sepehri and Seyed Mohammad Ehsai, have the greatest impact on the price of artwork. Also, the sales price is inversely 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 them with real sales prices and extract items that are sold above theestimated price.However, the
results do not show a clear pattern among these. The number of works sold at a price above the forecasted price for most artists is almost equal to the number of works sold below the forecasted price. And in the case of three artists, Sohrab Sepehri, Parviz Tanavoli and Bahman Mohasses, the number of works sold below the forecasted price is higher than the number of works sold at a price well above the expected price. In terms of the form of work and the existence of an explanation about attending international markets, the number of works sold at a price below the forecasted price is higher than those sold at a price well above the forecasted price.
