Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China

碩士 === 世新大學 === 財務金融學研究所(含碩專班) === 105 === This thesis makes use of monthly data including the exchange rate of RMB against the US dollar, the Shanghai A-Share index, Consumer Confidence Index(CCI), monetary supply, Consumer Price Index(CPI) and mortgage rate, from April in 2005 to September in 20...

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Main Authors: Sun,Chih-Chin, 孫志勤
Other Authors: Chen, Fen-Ying
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/k6sg9y
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spelling ndltd-TW-105SHU003040062019-05-15T23:25:02Z http://ndltd.ncl.edu.tw/handle/k6sg9y Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China 房價影響因素之探討:大陸一線和二線城市之實證分析 Sun,Chih-Chin 孫志勤 碩士 世新大學 財務金融學研究所(含碩專班) 105 This thesis makes use of monthly data including the exchange rate of RMB against the US dollar, the Shanghai A-Share index, Consumer Confidence Index(CCI), monetary supply, Consumer Price Index(CPI) and mortgage rate, from April in 2005 to September in 2016, and analyzes the relationship between macroeconomic variable and mortgage index in the first and second tier cities of Chinese mainland, multiple regression model being the research model, and further to make an analysis of the eliminable variables in macroeconomic variables by joint tests. The empirical results indicate that: (1) the Consumer Price Index (CPI) change rate and mortgage rate have a significant impact on the house price change rate of Beijing, Guangzhou, Wuhan, and Chengdu, moving in the same direction with the house price index. (2) The Consumer Price Index (CPI) change rate has a significant impact on the house price index change rate of Chongqing, moving in the same direction with the house price. (3) The mortgage rate has a significant impact on the house price index change rate of Tianjin, moving in the same direction with the house price. (4) The monetary supply change rate has a significant impact on the house price index change rate of Wuhan, moving in the same direction with the house price. In addition, in the results of joint tests, the variables including the exchange rate of RMB against the US dollar, the Shanghai A-Share index, Consumer Confidence Index(CCI), monetary supply are eliminable at the same time. However, the empirical results of multiple regressions indicate that Consumer Price Index (CPI) change rate and mortgage rate are mostly significant. Therefore, for the housing market of Mainland China, the CPI and mortgage rate are crucial elements that affect the house price of the tire and tier 2 cities of Mainland China. Chen, Fen-Ying 陳芬英 2017 學位論文 ; thesis 70 zh-TW
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language zh-TW
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description 碩士 === 世新大學 === 財務金融學研究所(含碩專班) === 105 === This thesis makes use of monthly data including the exchange rate of RMB against the US dollar, the Shanghai A-Share index, Consumer Confidence Index(CCI), monetary supply, Consumer Price Index(CPI) and mortgage rate, from April in 2005 to September in 2016, and analyzes the relationship between macroeconomic variable and mortgage index in the first and second tier cities of Chinese mainland, multiple regression model being the research model, and further to make an analysis of the eliminable variables in macroeconomic variables by joint tests. The empirical results indicate that: (1) the Consumer Price Index (CPI) change rate and mortgage rate have a significant impact on the house price change rate of Beijing, Guangzhou, Wuhan, and Chengdu, moving in the same direction with the house price index. (2) The Consumer Price Index (CPI) change rate has a significant impact on the house price index change rate of Chongqing, moving in the same direction with the house price. (3) The mortgage rate has a significant impact on the house price index change rate of Tianjin, moving in the same direction with the house price. (4) The monetary supply change rate has a significant impact on the house price index change rate of Wuhan, moving in the same direction with the house price. In addition, in the results of joint tests, the variables including the exchange rate of RMB against the US dollar, the Shanghai A-Share index, Consumer Confidence Index(CCI), monetary supply are eliminable at the same time. However, the empirical results of multiple regressions indicate that Consumer Price Index (CPI) change rate and mortgage rate are mostly significant. Therefore, for the housing market of Mainland China, the CPI and mortgage rate are crucial elements that affect the house price of the tire and tier 2 cities of Mainland China.
author2 Chen, Fen-Ying
author_facet Chen, Fen-Ying
Sun,Chih-Chin
孫志勤
author Sun,Chih-Chin
孫志勤
spellingShingle Sun,Chih-Chin
孫志勤
Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China
author_sort Sun,Chih-Chin
title Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China
title_short Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China
title_full Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China
title_fullStr Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China
title_full_unstemmed Research on Impact of Macroeconomic Variables on House Prices Tier and Tier2:Evidence form HousePrices of Cities in China
title_sort research on impact of macroeconomic variables on house prices tier and tier2:evidence form houseprices of cities in china
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/k6sg9y
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