| 英文摘要 |
The media dependence theory suggests that the more complex the social changes, the deeper the investors rely on themedia. Because of the nontransparency of Taiwan's real estate market, the news media serves as a channel to obtaininformation. This study analyzed the effects of media on the real estate market by using text mining to compile real estatemedia sentiment index and analyzing its relationship with the real estate market. The media sentiment index had nosignificant relationship with price concession and transaction volume, but was significantly related to transaction priceand time on the market, indicating that the media’s attitude toward the real estate market affects investors. The frequencyof real estate news reports significantly correlated with the price, volume, and time on market. The results also indicatedthat the increase in news reports boosts investors' expectations. Through copula's dynamic correlation analysis, we foundthat the dynamic correlation between house prices, transaction volume, and media sentiment index began to change in2012. This study confirmed the role of media sentiment in the market, capturing the nonfundamental side of the real estatemarket. Our findings can help the government to make more efficient real estate market policies. |