Performance analysis of investing in Chinese oil paintings based on a hedonic regression model of price index
Fang Wang and
Xu Zheng
China Finance Review International, 2017, vol. 7, issue 3, 323-342
Abstract:
Purpose - The purpose of this paper is to construct a price index for Chinese oil paintings and analyze the financial performance of investing in Chinese oil paintings and its potential for portfolio diversification in Chinese financial markets. Design/methodology/approach - A hedonic regression model is applied to construct a semiannual price index for Chinese oil paintings from 2000 to 2014. The CAPM model, downsideβand standard portfolio optimization are used for analyzing portfolio diversification. Findings - The hedonic regression shows that the majority of hedonic variables, such as dimension, artist’s reputation, living status, medium and auction houses, are statistically significant in estimation. Not only the return from oil painting investments is higher than other equities, but also theβcoefficient of the CAPM model and downsideβindicate that Chinese oil painting may be a good hedging instrument against stock market risk. Furthermore, the portfolio optimizations under standard assumptions suggest that oil paintings as an alternative investment provide diversification benefit. Originality/value - This paper provides a new and comprehensive analysis of characteristics and risks of investing in the Chinese oil paintings.
Keywords: Portfolio diversification; Alternative investment; Chinese oil paintings; Hedonic regression; C13; G11 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers
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:eme:cfripp:cfri-03-2016-0009
DOI: 10.1108/CFRI-03-2016-0009
Access Statistics for this article
China Finance Review International is currently edited by Professor Chongfeng Wu and Professor Haitao Li
More articles in China Finance Review International from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().