Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Artwork price trend calculation method based on artwork transaction big data research

A calculation method and art technology, applied in the field of social and economic data statistical research, can solve the problems of low frequency of repeated transactions, bias in sample selection, and low proportion of repeated sales data, and achieve the effect of authenticity advantage

Pending Publication Date: 2020-06-16
易元数字(北京)科技集团有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method has the problem of sample selection bias due to the low frequency of repeated transactions and the small proportion of repeated sales data.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Artwork price trend calculation method based on artwork transaction big data research
  • Artwork price trend calculation method based on artwork transaction big data research
  • Artwork price trend calculation method based on artwork transaction big data research

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0020] An art price trend calculation method based on art transaction big data research, including the following steps:

[0021] Step 1: Establish the model, model formula, formula 1 is as follows:

[0022]

[0023] P i, t Is the selling price of artwork i in the T period; X k,i,t Represents the k-th feature value of the artwork i in the t-th period. If the feature value is a dummy variable, then when the artwork has this feature, x is set to 1, otherwise it is set to 0. If the feature is a continuous variable, the pair of variables is used Number form; α k Is the implied price of the k-th feature of the artwork; time i, t Is the transaction time of artwork i, if the transaction is done in the t-th period, time is 1, otherwise 0; β t It is the marginal influence of time on the price of art, which is the basis for constructing the calculation method of the price trend of the art;

[0024] Step 2: Selection and processing of variables. Characteristic variables of calligraphy and paint...

Embodiment 2

[0030] On the basis of the above-mentioned embodiment, the calculation method of the present invention is based on massive data from 5000 auction houses around the world and auctioned in the past 10 years. Through strict screening of auction houses and lots, sample data is formed and included in the calculation method Each lot of the lot is classified by multi-dimensional features, such as the themes and prints of Chinese paintings and calligraphy, the content of Chinese oil paintings, paints, etc., standardize them, and then use the internationally recognized feature regression method to fit the price of the work Level, analyze the trend of the overall market price level over time from a statistical perspective. The calculation sample data used in this calculation method is refined by professionals, and it has great advantages in the comprehensiveness, professionalism, and authenticity of the data.

[0031] The present invention provides a method for calculating the price trend ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an artwork price trend calculation method based on global artwork transaction big data research. The calculation method is based on mass data from 5000 auction banks worldwidein recent 10 years, sample data is formed by strictly screening the auction banks and auction items, and multi-dimensional feature classification is performed on each auction item included in the calculation method, such as themes, style marks and the like of Chinese painting and calligraphy, contents, painting pigments and the like of Chinese oil paintings, the classification is standardized, then the price levels of the works are fitted by an internationally widely accepted characteristic regression method, and the trend that the overall price level of the market changes along with time is analyzed from the perspective of statistics. Calculation sample data used in the calculation method is refined by professionals, and the method has great advantages in the aspects of comprehensiveness,professionality, authenticity and the like of the data.

Description

Technical field [0001] The present invention relates to the field of socioeconomic data statistics research, in particular to a calculation method of artwork price trends based on global art transaction big data research, and is an effective method reflecting the development status of China's art finance and art market conditions. Background technique [0002] In the development of the art market, similar methods that have been compiled and published include Sotheby's Art Market Index, Meimo Art Index, China Art Index, Artron Art Index, etc. Among them, the Sotheby’s Art Market Index depends on the average price of each lot, but one of the main factors affecting the average price is the characteristics of the artworks sold in this time period. If there are fewer good works sold in a certain time period, The index will show a downward trend, but it does not mean that the entire art market is not good, so the index cannot reflect the true situation of the market; the Meimo Art Inde...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q30/02G06Q30/08
CPCG06Q30/0278G06Q30/08
Inventor 牛志萍李想安慧敏王中恕祁煜琨
Owner 易元数字(北京)科技集团有限公司
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com