Will sentiment matter in China housing market? A qualitative study based on public voice from social media

Siming Chen

ERES from European Real Estate Society (ERES)

Abstract: As China’s real estate market faces a significant downturn, understanding and forecasting the dynamics of housing prices and real estate companies’ stock performance has become increasingly critical. This study explores the relationship between housing price trends and public sentiment, using quantitative analyses to uncover the intricate interplay of these factors. By leveraging housing price data from China’s top 50 cities and sentiment analysis of comments on social media, and further scoring public sentiment using SnowNLP and Maximum Information Coefficient (MIC) to identify the correlation between sentiment score and housing prices. The results indicate that some of the cities have significant correlation between sentiment score and housing price. This research offers novel insights into how public sentiment influences the real estate market, providing evidence and reference for further study in not only Chinese social media but also other languages’ social media regarding real estate market.

Keywords: Correlation; real estate; Sentiment; Social Media (search for similar items in EconPapers)
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2025-01-01
New Economics Papers: this item is included in nep-cna and nep-sea
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