2018
DOI: 10.3390/su10072386
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Risk Transfer among Housing Markets in Major Cities in China

Abstract: This study explored risk transfer among the housing markets of five major cities in China, comprising three first-tier cities (i.e., Beijing, Shanghai, and Shenzhen) and two second-tier cities (i.e., Tianjin and Chongqing). House price index data from January 2001 to June 2017 and a vector autoregressive-multivariate generalized autoregressive conditional heteroscedasticity model were employed to estimate correlations among these cities related to house price returns and volatility. In addition, volatility imp… Show more

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Cited by 8 publications
(5 citation statements)
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“…Similar evidence for Beijing and Guangzhou’s annual housing prices is found by Zhang et al (2017b), when they investigate Beijing, Shanghai, Guangzhou, Wuhan, Chongqing and Shenyang during 1995–2013. Tsai and Chiang (2018) demonstrate importance of Beijing and Shenzhen’s housing prices to other cities as well using monthly data during January 2001–June 2017, when they examine Beijing, Shenzhen, Shanghai, Tianjin and Chongqing. And the residential housing price index of Shenzhen has the strongest impact on indices of other cities, indicating that Shenzhen has the hottest residential housing market in China, which might not be surprising.…”
Section: Resultsmentioning
confidence: 99%
“…Similar evidence for Beijing and Guangzhou’s annual housing prices is found by Zhang et al (2017b), when they investigate Beijing, Shanghai, Guangzhou, Wuhan, Chongqing and Shenyang during 1995–2013. Tsai and Chiang (2018) demonstrate importance of Beijing and Shenzhen’s housing prices to other cities as well using monthly data during January 2001–June 2017, when they examine Beijing, Shenzhen, Shanghai, Tianjin and Chongqing. And the residential housing price index of Shenzhen has the strongest impact on indices of other cities, indicating that Shenzhen has the hottest residential housing market in China, which might not be surprising.…”
Section: Resultsmentioning
confidence: 99%
“…Empirical evidences revealed GDP to play a significant role in regards to house price changes. Examples of this are studies by Tsai andChiang (2012) andFererro (2015).…”
Section: Determination Of House Pricesmentioning
confidence: 99%
“…Because of their strength for estimating returns and risks concurrently, these models are used extensively in various asset markets. For example, foreign exchange markets (Bekiros, 2014), spot and derivatives markets (Sogiakas & Karathanassis, 2015), the U.S. crude oil, corn and plastics markets (Jiang et al, 2015), the Chinese real estate market (Tsai & Chiang, 2018) and commodity futures markets (Andreasson et al, 2016).…”
Section: Empirical Modelmentioning
confidence: 99%