A Research of the Relationship between New-Residential Housing Price, Used-Residential Housing Price and Taiwan Weighted Index, Stock Index of Building-Industry

碩士 === 國立屏東商業技術學院 === 不動產經營系(所) === 98 === Main cause of housing price changes has been the focus of research. General research methods use a single type of housing price as the research variable, but very few research use different type of housing price. This paper use VAR model and Simultaneous Eq...

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Bibliographic Details
Main Authors: Cheng-wei Chen, 陳政偉
Other Authors: Ming-yih Huang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/02454075543028319534
Description
Summary:碩士 === 國立屏東商業技術學院 === 不動產經營系(所) === 98 === Main cause of housing price changes has been the focus of research. General research methods use a single type of housing price as the research variable, but very few research use different type of housing price. This paper use VAR model and Simultaneous Equation model to discuss the short-term and long-run dynamics of New-Residential Housing Price, Used-Residential Housing Price and Taiwan Weighted Index, Stock Index of Building-Industry. Empirical results indicate that New-Residential Housing Price, Used-Residential Housing Price, Stock Index(including Taiwan Weighted Index and Stock Index of Building-Industry ) does not exist the long-term stable equilibrium relationship. By VAR model, New-Residential Housing Price to Taiwan Weighted Stock index's influence is significant under the short-term fluctuation and showed two-way relationship with Stock Index of Building-Industry. By Simultaneous Equation Model, empirical results show that New-Residential Housing Price, Used-Residential Housing Price and Taiwan Weighted Index is affected each other, Obviously the three have long-standing relationship of mutual influence, Stock Index of Building-Industry and Used-Residential Housing Price has the influence on each other. Whatever in short-term or long-run Used-Residential Housing Price to the New-Residential Housing Price's influence was significant.