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題名:次級房貸危機後,美國股市外溢效果之探討
書刊名:會計與財金研究
作者:姜淑美王立均
作者(外文):Chiang, Shu-meiWang, Li-jyun
出版日期:2012
卷期:5:1
頁次:頁43-59
主題關鍵詞:金磚四國ARJI模型外溢效果次級房貸危機BRICsARJI modelSpillover effectSubprime mortgage crisis
原始連結:連回原系統網址new window
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  • 共同引用共同引用:20
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本研究應用ARJI模型來探討次級房貸危機對金磚四國股市的報酬率及波動性的外溢效果。實證結果發現:美國股市對金磚四國股市的外溢效果確實存在,其中,美國股市對中國股市是最具影響力的。此外,每當有重大事件發生時,此四個國家對事件反應的跳躍強度皆比整個樣本期間的平均值高,表示市場有衝擊時,會使風險暫時增加。但是長期而言,投資人的投資風險是不高的,因為市場會自己回復原先的水準。再者,由於股市風險最大的是巴西,最小的是印度,因此當投資人及基金經理人想投資於此區域時,應該分配較多的資金於印度市場,較少的資金於巴西股市,以降低投資風險。
This study applies the ARJI model to examine the spillover effect of subprime mortgage crisis on the stock markets of BRICs. The empirical results indicate that the American stock market indeed has spillover effect on those of BRICs. Among them, the largest effect of the American stock market is on that of China. Besides, whenever there are important events occur, the jump intensities of the stock markets in the four countries are higher than their averages, showing that when there are innovations flowing into the market, the risks will increase temporary. However, in the long run, the risks that the investors face are not high because the market will finally back on track based. Further, as the highest (lowest) risk of stock market appear in Brazil (India), the investors should allocate more funds into the Indian market and lesser in Brazil to reduce investing risks when the investors and fund managers would like to invest in this area.
期刊論文
1.王冠閔、吳書慧(200612)。臺灣股、匯市與美國股市傳導機制之實證分析。運籌研究集刊,10,1-15。new window  延伸查詢new window
2.吳宗隆、徐清俊(2003)。台股市場與外匯市場報酬與波動關聯性研究--雙變量GJR-GARCH(1,1 ) -M模型之應用。遠東學報,20(4),799-816。  延伸查詢new window
3.邱建良、李彥賢、鄒易凭(20051200)。金融風暴對股市間波動性的連動性影響--ARJI模型。真理財經學報,13,1-22。new window  延伸查詢new window
4.林惠娜、姜淑美(2008)。重大事件對台灣股市之影響-跳躍擴散模型之應用。朝陽商管評論,6(2),29-55。new window  延伸查詢new window
5.林靜雯、施光訓、黃舒玲(200903)。金融危機之國際投資市場訊息傳遞效果研究。多國籍企業管理評論,3(1),189-204。new window  延伸查詢new window
6.姜淑美、陳信甫、黃子晉(20090600)。股票市場風險及效率之探討。龍華科技大學學報,27,113-128。  延伸查詢new window
7.蘇欣玫、黃聖志、黃健銘、陳玉瓏(20070700)。美國存託憑證與相關變數動態傳遞效果之研究--以中國上市公司為例。朝陽商管評論,6(2),57-74。new window  延伸查詢new window
8.劉洪鈞、黃聖志、王怡文(200806)。西德州與布蘭特原油避險策略。真理財經學報,18,71-98。new window  延伸查詢new window
9.Bai, J.、Perron, P.(2003)。Computation and analysis of multiple structural change models。Journal of Applied Econometrics,18(1),1-22。  new window
10.Chiang, S. M.、Yeh, C. P.、Chiu, C. L.(2009)。Permanent and transitory components in the Chinese stock market: The ARJI-Trend model。Emerging Markets Finance and Trade,45(3),35-55。  new window
11.Maheu, J. M.、McCurdy, T. H.(2004)。News arrival, jump dynamics, and volatility component for individual stock returns。The Journal of Finance,59(2),755-793。  new window
12.陳揚仁(20100300)。臺灣與韓國TFT-LCD面板產業股價連動性之研究--FIEC-FIGARCH模型之應用。多國籍企業管理評論,4(1),225-244。new window  延伸查詢new window
13.Chen, S. W.、Shen, C. H.(2004)。GARCH, jumps and permanent and transitory components of volatility: The case of the Taiwan exchange rate。Mathematics and Computers in Simulation,67(3),201-216。  new window
14.王冠閔、黃柏農(20040300)。臺灣股、匯市與美國股市關聯性探討。臺灣經濟預測與政策,34(2),31-72。new window  延伸查詢new window
15.Granger, Clive W. J.(1986)。Developments in the study of co-integrated Economic Variables。Oxford Bulletin of Economics and Statistics,48(3),213-228。  new window
16.Phillips, Peter C. B.、Perron, Pierre(1988)。Testing for a unit root in time series regression。Biometrika,75(2),335-346。  new window
17.Said, S. E.、Dickey, David A.(1984)。Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order。Biometrika,71(3),599-607。  new window
18.駱武昌、吳明珊、吳斯偉(20110900)。臺灣、歐洲與美國股市間波動外溢效果。會計與財金研究,4:2,頁29-50。new window  延伸查詢new window
19.Dickey, David A.、Fuller, Wayne A.(1979)。Distribution of the Estimators for Autoregressive Time Series With a Unit Root。Journal of the American Statistical Association,74(366),427-431。  new window
20.Chan, W. H.、Maheu, J. M.(2002)。Conditional jump dynamics in stock market return。Journal of Business & Economic Statistics,20(3),377-389。  new window
 
 
 
 
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