This paper develops first measures of housing sentiment for 34 cities across the U.S. by quantifying the qualitative tone of local housing news. I find that housing media sentiment has significant predictive power for future house prices, above and beyond his- torically predictive factors and past returns. Sentiment leads price movements by more than two years, and is highly correlated with available survey expectations measures. The structure of the media sentiment index itself reflects a backward-looking nature consistent with extrapolative expectations. Consistent with theories of sentiment, the media sentiment index has a greater effect in markets with more minority homebuyers, more speculative investors, and across lower-priced hom...
With the wake of the United States financial crisis in 2008, policymakers and academics have begun t...
This paper examines house price appreciation in the US from 2004 through 2009, a period marked by a ...
This study uses content analysis and a controlled experiment as data generation methods to investiga...
Purpose To investigate whether additional information of the permanent news flow, especially report...
This paper examines the predictive ability of housing-related sentiment on housing market volatility...
In this thesis, we investigate how information and sentiment provided through news media affect pri...
A body of literature has shown that investor sentiment has a role in influencing financial asset pri...
With the wake of the United States financial crisis in 2008, policymakers and academics have begun t...
This study adopts data mining methods to analyze the short- and long-term dynamic between news messa...
There are a wide variety of sentiment, or confidence, measures in the marketplace. The most well-kno...
This paper examines the factors that drive the recent growth of house prices in Malaysia. By constru...
This paper investigates spillovers between the housing sentiment index of Bork et al.(2020), common ...
The rapid decline in housing prices of the United States (US), following a prolonged boom, is genera...
This paper studies household beliefs during the recent US housing boom. To characterize the heteroge...
Each week, thousands of newspaper articles on real estate topics are read by market participants. Wh...
With the wake of the United States financial crisis in 2008, policymakers and academics have begun t...
This paper examines house price appreciation in the US from 2004 through 2009, a period marked by a ...
This study uses content analysis and a controlled experiment as data generation methods to investiga...
Purpose To investigate whether additional information of the permanent news flow, especially report...
This paper examines the predictive ability of housing-related sentiment on housing market volatility...
In this thesis, we investigate how information and sentiment provided through news media affect pri...
A body of literature has shown that investor sentiment has a role in influencing financial asset pri...
With the wake of the United States financial crisis in 2008, policymakers and academics have begun t...
This study adopts data mining methods to analyze the short- and long-term dynamic between news messa...
There are a wide variety of sentiment, or confidence, measures in the marketplace. The most well-kno...
This paper examines the factors that drive the recent growth of house prices in Malaysia. By constru...
This paper investigates spillovers between the housing sentiment index of Bork et al.(2020), common ...
The rapid decline in housing prices of the United States (US), following a prolonged boom, is genera...
This paper studies household beliefs during the recent US housing boom. To characterize the heteroge...
Each week, thousands of newspaper articles on real estate topics are read by market participants. Wh...
With the wake of the United States financial crisis in 2008, policymakers and academics have begun t...
This paper examines house price appreciation in the US from 2004 through 2009, a period marked by a ...
This study uses content analysis and a controlled experiment as data generation methods to investiga...