• The Journal of the Convergence on Culture Technology
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• v.1 no.2
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• pp.37-44
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• 2015

In this paper, we survey the auction on the art and the art price index in the international and Korea art market. The auction plays a role on the art market from art creators to art collectors. The auction will grow because it utilizes the open art market. The art price index which is developed to give a guide in art investment. However, the history of art index is short and the developed art index is not well widely used. Since, the art price is opened in the auction, so it provides the necessary condition to develop art price index. In this study, we compare the foreign art price index with the domestic one and we examine the properties and utilization of the art price index in Korea.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.41-53
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• 2016

According to the price-decline effect, the art auction prices are known to decrease with the order of auction sale. Our empirical study investigates the presence for the price-decline effect using the data for Korean antique art hosted by the Seoul Auction in September, 2015. We apply the Hedonic price model to the data and examine the relation between the sale order and auction price. Our empirical evidences show that the well-known price decline effect is not present for the case of Korean antique auction in 2015. We confirm our results by estimating the ordered probit model. From the view of the price-decline effect, our results suggest that the Korean antique auction data exhibits different characteristics from most of the foreign art auction data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.629-639
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• 2011

This paper classifies factors that form Chinese contemporary art price which comes into the spotlight in the current fine art market and consider the characteristics that form price with Chinese art only. The data were analyzed applying hedonic price setting models which include market value as a dependent variable with the various characteristics that art includes as the individual factors. The result has found that Chinese contemporary art has the more effects on factors of artists than sales factors. The social factor is worthy of notice in that Chinese GDP jointly raised with the price of Chinese contemporary art. At this point that interest in and demand of Chinese contemporary art are higher, it is thought that the result of this study will raise comprehension and convincing purchase direction will be suggested to collectors.

• Review of Culture and Economy
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• v.21 no.1
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• pp.85-104
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• 2018

The studies related to the price of artworks have focused on how factors that are determined on production level, such as artists and the artwork materials of the studies, affect the artwork prices. As 'Dansekhwa' is in the spotlight within local Korean art auction matket, this study would like to analyze the trend of the price changes of 'Dansekhwa' with its growing popularity among the public. We have estimated the price changes based on 4,199 auction data of 20 artists with top 20 auction prices selected by the Korean Art Price Appraisal Association, between 2005 and 2016. Also, in order to compare and analyze the price changes of the 'Dansekhwa' products, we have classified the 20 artists into groups of Dansekhwa and non-Dansekhwa. Starting from 2013, when Dansekhwa has first appeared, we applied the Difference in the Difference model(DiD) to estimate the result. As a result, the difference between two groups showed 71% of price difference due to the increase in popularity of Dansekhwa. This result proves that recognition level has an important role for increase in price of an artwork. Moreover, the fact that the formalized style of Dansekhwa has linked to the appreciation of the price means that production of information could play an essential role in growth of art market. As recognition level of Korean artists and their artworks is considerably low within the local art market, putting in the effort to increase the popularity of artworks among the public might be a helpful way to magnify the potential demand.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.552-560
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• 2021

With the recent development of the art distribution system, interest in art investment is increasing rather than seeing art as an object of aesthetic utility. Unlike stocks and bonds, the price of artworks has a heterogeneous characteristic that is determined by reflecting both objective and subjective factors, so the uncertainty in price prediction is high. In this study, we used LSTM Recurrent Neural Network deep learning model to predict the auction winning price by inputting the artist, physical and sales charateristics of the Korean artist. According to the result, the RMSE value, which explains the difference between the predicted and actual price by model, was 0.064. Painter Lee Dae Won had the highest predictive power, and Lee Joong Seop had the lowest. The results suggest the art market becomes more active as investment goods and demand for auction winning price increases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1582-1588
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• 2013

This study investigated whether artists' education level, college of graduation, and gender have any influences on artists' premium which leads to higher sales possibility and art price using Art Fair Market data. We found that artists' education level do not have statistically significant effects on either sales possibility or art price. But, artists' college of graduation which was measured by artists' undergraduate school level(high or low) has significant effects on both sales possibility and art price. Artists' gender also has a significant effect on art price, although it does not have any significant effect on sales possibility. These results imply that artists' educational level or degree does not exert significant impacts on artists' premium, while the level of college that artists attended indeed has a significant effect on artists' premium. They also imply that gender plays a role in Korean art market.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.51
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• pp.133-158
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• 2011

The purpose of this study is to analyze one of CIETEC(China International Economic and Trade Arbitration Commission) Award on the dispute arising from Cotton Sale Contact which deals with damages and reduction of the price. Especially this case focused on the effect of reduction of the price to damages. The purpose of damages is to place the aggrieved party in as good a position as if the other party had properly performed the contract. So court costs and attorney's fee should be regarded as the loss, because these are caused by consequence of the breach which is recoverable. With the same reason, overpaid taxes should also regard as the loss. It is not impossible, however, to claim both damages and reduction of the price for same loss at the same time. It means buyer could not claim damages for the same loss, once he already claimed reduction of the price. So Korean companies should consider which remedy is proper to himself under the circumstances. He should choose reduction of the price when market price is down. In case of rising market price, he should consider follows: first, it is better to choose damages based on current price(Art.76), if upswing of non-conformity price is higher then upswing of market price. Second, it is better to choose general rule for measuring damages(Art.74), if upswing of market price is higher then upswing of non-conformity price.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.533-543
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• 2023

This study explores the influence of the COVID-19 pandemic on the Korean art market and contrasts the classic hedonic method of art price prediction with the Artificial Neural Network technique. The empirical analysis of this paper utilizes 14,639 observations of Korean art auction data from 2015 to 2021. There are three types of variables in this study: artist-related, artwork-related, and sales-related. Previous studies have suggested that these three types of variables influence art prices. The empirical findings in this research are in twofold. First, in terms of RMSE and R², the Artificial Neural Network outperforms the hedonic model. Both techniques discover that sales and artwork variables have a greater impact than artist-related attributes. Second, when the primary factors of art price are controlled, Korean art prices are found to fall dramatically in 2020, shortly following the onset of COVID-19, but to rebound in 2021. The main lesson in this study is that the Artificial Neural Network enhances art price prediction and reduces information asymmetry in the Korean art market even in the face of unanticipated turmoil such as the COVID-19 outbreak.

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.687-700
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• 2019

Purpose: The purpose of this study is to investigate the interaction effects between price determinants of artworks. We expand the methodology in art market by applying machine learning techniques to estimate the price of artworks and compare linear regression and machine learning in terms of prediction accuracy. Methods: Moderated regression analysis was performed to verify the interaction effects of artistic characteristics on price. The moderating effects were studied by confirming the significance level of the interaction terms of the derived regression equation. In order to derive price estimation model, we use multiple linear regression analysis, which is a parametric statistical technique, and k-nearest neighbor (kNN) regression, which is a nonparametric statistical technique in machine learning methods. Results: Mostly, the influences of the price determinants of art are different according to the auction types and the artist 's reputation. However, the auction type did not control the influence of the genre of the work on the price. As a result of the analysis, the kNN regression was superior to the linear regression analysis based on the prediction accuracy. Conclusion: It provides a theoretical basis for the complexity that exists between pricing determinant factors of artworks. In addition, the nonparametric models and machine learning techniques as well as existing parameter models are implemented to estimate the artworks' price.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.69
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• pp.45-62
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• 2016

Price reduction under CISG Art. 50 is advantageous to a buyer because it is a self-help remedy to the buyer. It is the buyer that has the option and the power to reduce the price paid or to be paid to the seller. Price reduction is indispensable in such cases where the seller is relieved of liability. In such cases the remedy of price reduction is the only one giving the buyer monetary relief. Another special role of price reduction is to determine how much the buyer owes the seller for non-conforming goods when special circumstances relieve the seller of liability for damages. In any event, price reduction has been designed both as an alternative to damages and for cases where the non-performing party is excused from liability for damages. The price reduction remedy however leaves several issues for clarification and application in several respects.