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Virginia Tech

Market Sentiments and the Housing Markets

Abstract

dc:description.abstract

This paper has three chapters. In the first chapter, we develop a measure of housing sentiment for 24 cities in China by parsing through newspaper articles from 2006 to 2017.We find that the sentiment index has strong predictive power for future house prices even after controlling for past price changes and macroeconomic fundamentals. The index leads price movements by nearly 9 months, and it is highly correlated with other survey expectations measures that come with a significant time lag. In the second chapter, we show that short term house price movement is predictable by solely using newspaper and historical price change. In the last chapter, using the sentiment index constructed from newspaper, we got empirical results to show that some people are forward-looking when deciding default and a positive sentiment (anticipated house price appreciation) will lower the Z score of probability of default by 0.028.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Economics
Department dc:contributor.department
Economics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Huang, Yao
Chair dc:contributor.committeechair
  • Tsang, Kwok Ping
Committee members dc:contributor.committeemember
  • Luo, Shaowen
  • Smith, Alexander Charles
  • Ge, Suqin

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:23761
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/97518

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Huang, Yao. Market Sentiments and the Housing Markets. doctoral thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/97518