透過您的圖書館登入
IP:3.147.104.248
  • 學位論文

應用GARCH模型探討中國房地產價格與股價波動因果關係

Causal Relationship between Volatility on Real Estate Prices and Stock Prices in China-- Application of GARCH Model

指導教授 : 陳達新
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


摘要 2005年7月21日中國十年來首次允許人民幣兌美元升值,回應美歐對中國低估人民幣帶來不公平的貿易優勢的批評。中國結束了1995年以來實行的人民幣兌美元釘住在8.28元人民幣上下的匯率機制,允許人民幣兌一籃子貨幣浮動,開啟了中國進一步開放金融市場的新紀元。在此之後至2010年,人民幣持續升值,影響大陸股票市場之大幅上揚以及全國性的房價暴漲。本文利用GARCH模型,探討大陸上海證券綜合指數(Chinese Shanghai Stock Index)、房地產價格指數(Chinese Shanghai REITs Index)之波動度,並且進一步進行實證分析二者之間是否存在因果關係。研究期間始於2005年7月21日匯率改革後至2010年12月31日止,所採用的資料型態為日資料。研究結果顯示估算出的變異數參數非常顯著,即說明了上證指數之波動性與地產指數之波動性兩標的市場的報酬率波動性均受對方上ㄧ期報酬率波動性與自己市場本身上ㄧ期報酬率波動性的影響非常顯著;再者由實證中亦指出上證指數之波動性與地產指數之波動性二者呈相互領先(feedback causal relationship)的關係,且上證指數波動性領先程度較大。本研究希望藉由研究結果可以提供投資者與政府相關機構作出適當的投資決策與政策以及後續研究之參考。

並列摘要


Abstract There was a tremendous change of the exchange rate of the Renminbi (RMB) against USD. China’s currency, which for the previous decade had been tightly pegged at 8.28 yuan to the U.S. dollar, was revalued on July 21, 2005 to 8.11 per U.S. dollar. The revaluation of RMB/USD marked the new era of managing floating exchange rates. We are interested in the impact of the appreciation of Renminbi on stock prices and real estate prices in China since the removal of the peg. We use GARCH Model to examine causal relationships between Chinese Shanghai Stock Index and Shanghai REITs Index, from 2005/7/21 to 2010/12/31. Policy and the broader implications of the findings are discussed. The daily data is used. The results showed that the variance of estimated parameters are very significant. t shows the Shanghai stock index of volatility and the volatility of the Shanghai REITs index of the two target markets are both subject to be influenced by their own and the other’s last volatility of returns very significant. Evidence also pointed out by the Shanghai index's volatility and the volatility of the REITs index were both leading each other . The Shanghai stock index is on the large degree. By studying the results of this study is to provide investors with relevant government agencies to make appropriate investment decisions and policy and follow-up study in Taiwan.

參考文獻


8.張金鍔(2004),日本不動產證券化之實施經驗與其對不動產市場影響探討,2004國科會專題研究計劃成果報告。
13.Akaike, H. (1976). Canonical correlation’s analysis of time series and the use of an information criterion.The Institute of Statistical mathematics, 126, 27 - 97.
14.Bollerslev, T.(1986).Generalized autoregressive conditional heteroskedasticty. Journal of Econometrics, 31(3),307-327.
15.Dicky,D. A. & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root.Journal of the American Statistical Association,74,427-431.
16.Engle, R. F. (1982). Autoregressive conditional heteroscedasticty with estimates of the variance of United Kingdom inflation.Econometrica, 50(4),987-1007.

被引用紀錄


朱薇霖(2013)。金融海嘯前後房市與股市互動關係之研究-以美國及大中華地區三大市場為例〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201300559
蘇麗淑(2015)。中國股票市場與房地產市場連動性之探討〔碩士論文,逢甲大學〕。華藝線上圖書館。https://doi.org/10.6341/fcu.M0225319
陳菁菁(2015)。股市與房市關聯性之探討 -以美國為例之頻率因果關係之探討〔碩士論文,逢甲大學〕。華藝線上圖書館。https://doi.org/10.6341/fcu.M0216782
賴映潔(2015)。GARCH模型與CARR模型對股市報酬波動預測之比較—以富邦金控公司為例〔碩士論文,國立虎尾科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0028-1806201514144800

延伸閱讀