EconPapers    
Economics at your fingertips  
 

Real Estate Confidence Index Based on Real Estate News

Yukun Ma, Bin Xu and Xiaofei Xu

Emerging Markets Finance and Trade, 2018, vol. 54, issue 4, 747-760

Abstract: A real estate confidence index (RECI) is used to evaluate real estate industry development, and it has become an effective and powerful measure in China’s real estate market (REM). RECI research based on big data is the new trend in finance and economics. In this article, we apply some methods of text classification to research on the construction of RECI. First, the Naïve Bayes algorithm is used to evaluate data and to classify the extent to which this measure describes confidence in the REM. Second, experiments on different perspectives are performed to probe the relationship between variables and the accuracy of the classifier. Third, we use the classifier to predict the weekly news. Ultimately, construction of the RECI based on financial and economic news is achieved by applying the classifier to the time and existence of major financial and economic news.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2016.1232193 (text/html)
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:mes:emfitr:v:54:y:2018:i:4:p:747-760

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20

DOI: 10.1080/1540496X.2016.1232193

Access Statistics for this article

More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-19
Handle: RePEc:mes:emfitr:v:54:y:2018:i:4:p:747-760