EconPapers    
Economics at your fingertips  
 

Towards Data Oriented Analysis of the Art Market: Survey and Outlook

Filipiak Dominik () and Filipowska Agata ()
Additional contact information
Filipiak Dominik: Department of Information Systems, Poznań University of Economics, Poland
Filipowska Agata: Department of Informati on Systems, Poznań University of Economics, Poland

Financial Internet Quarterly (formerly e-Finanse), 2016, vol. 12, issue 1, 21-31

Abstract: Due to the constantly growing interest in alternative investments, the art market has become the subject of numerous studies. By publishing sales data, many services and auction houses provide a foundation for further research on the latest trends. Determining the definition of the artistic value or formalisation of appraisal may be considered quite complex. Statistical analysis, econometric methods or data mining techniques could pave the way towards better understanding of the mechanisms occurring on the art market. The goal of this paper is to identify, describe and compare solutions (and related challenges) that help to analyse, make decisions and define state of the art in the context of the intersection of econometrics on art markets and computer science. This work is also a starting point for further research.

Keywords: art market analysis; hedonic regression (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/fiqf-2016-0133 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:finiqu:v:12:y:2016:i:1:p:21-31:n:1003

DOI: 10.1515/fiqf-2016-0133

Access Statistics for this article

Financial Internet Quarterly (formerly e-Finanse) is currently edited by Tomasz Skica

More articles in Financial Internet Quarterly (formerly e-Finanse) from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:finiqu:v:12:y:2016:i:1:p:21-31:n:1003