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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6760
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dc.contributor.advisor林建甫
dc.contributor.authorYen-Jen Chenen
dc.contributor.author陳彥禎zh_TW
dc.date.accessioned2021-05-17T09:17:35Z-
dc.date.available2015-10-16
dc.date.available2021-05-17T09:17:35Z-
dc.date.copyright2012-10-16
dc.date.issued2012
dc.date.submitted2012-10-11
dc.identifier.citation中文參考文獻:
汪建南、李光輝 (2004),《中央銀行季刊》,26,17-56。
林美珍 (2011),《行為財務學》,台北:華泰文化。
陳思寬 (2007),『東亞金融整合之實證分析』,《中央銀行季刊》,29,13-46。
陳鳳琴 (2012) ,『台灣股匯市與美國股市連動性之再探討』《中華管理評論國際學報》,15,1-31。
陳虹均、郭炳伸、林信助 (2012),『能源價格衝擊與臺灣總體經濟』, 臺灣經濟預測與政策, 中央研究院經濟研究所,42,1–36。
楊亦農 (2011),《時間序列分析-經濟與財務上之應用-第二版》,台北:雙葉書廊。
謝劍平 (2000),《財務管理—新觀念與本土化》,台北:智勝出版社。
鍾惠民、周賓凰、孫而音 (2011),《財務計量-Eviews的運用》,台北:新陸書局。
英文參考文獻
Asmy, Mohamed, Rohilina, Wisam, Hassama, Aris and Fouad, Md.(2009), “Effects of Macroeconomic Variables on Stock Prices in Malaysia: An Approach of Error Correction Model, ” MPRA Paper 20970, University Library of Munich, Germany.
Chang, Y. and Wong, J.F.(2003), “Oil price, fluctuations and Singapore economy,” Energy Policy, 31, 1151-1165.
Cox, J. C., S. Ross, and M. Rubinstein (1979), “Option Pricing:A simplified Approach,” Journal of Financial Economics, 7, 229-264.
Daniel K.; Amos T. (1979), “Prospect Theory: An Analysis of Decision under Risk,” Econometrica, 47, 263-292.
Errunza V. and Losq E.(1985), “International Asset Pricing under Mild Segmentation : Theory and Test, ” The Journal of Finance,16,105-124.
Fama E. R. (1981) ,“Stock Returns, Real Activity, Inflation and Money,” American Economic Activity, 71,545-564.
Fleming, J.,(1998), “The quality of market volatility forecasts implied by S&P 100 index option prices,” Journal of Empirical Finance ,5, 317–345..
Frederic S. M. (2010), The Economics of Money, Banking and Financial Market,9e, Pearson..
Grubel, H. G. (1968), “Internationally diversified portfolios: welfare gains and capital flows,” American Economic Review, 58, 1299−1314..
Jim O. (2003), “Dream with BRIC:The path to 2050,”market letter no.99, Goldman Sachs.
Jung W. and Ronald A. Rattia (2007), “Oil price shocks and Stock markets in the U.S. and 13 European Countries,” Department of Economics, University of Missouri-Columbia, U.S.A.
Norden, L., and M. Weber (2009), “The Co-movement of Credit Default Swap, Bond and Stock Markets:an Empirical Analysis, ” European Financial Management, 15, 529 – 562.
Osman S. (2005), “Interest rate volatility, exchange rates, and external contagion, ” Applied Financial Economics,15, 883-894.
Roca, E. D., Selvavathan, E. A. and Shepherd, W. F. (1998), “Are the ASEAN Equity Markets Interdependent? ” ASEAN Economic Bulletin, 15, 109-120.
Roger C. and M. Statman (2000), “The DJIA Crossed 652,230,” Journal of Portfolio Management, 26, 89-92.
Sadorsky , P. (1999) , “Oil Price Shocks and Stock Market Activity, ” Energy Economics , 21, 449-469.
Said, S., and Dickey, D. (1984), “Testing for unit roots in autoregressive-moving average model of unknown order,” Biometrica, 71, 599-607.
Solnik (1974) , “Why not diversify internationally rather than domestically? ” Financial analysts journal, 30 , 48-52.
Solnik B.and McLeavey D. (2004) ,International Investments,5e , pearson.
Wang, Y and Di Iorio, A (2007), “Are the China-related Stock markets segmented with both world and regional stock markets?” Journal of International Financial Markets, Institutions and Money, 17, 277-290.
Yau, Hwey-Yun and Nieh, Chien-Chung (2009), “Testing for cointegration with threshold effect between stock prices and exchange rates in Japan and Taiwan, ” Japan and the World Economy, Elsevier, 21, 292-300.
Yu Hsing, (2011), “The Stock Market and Macroeconomic Variables in a BRICS Country and Policy Implications,” International Journal of Economics and Financial Issues, Econjournals, 1, 12-18.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6760-
dc.description.abstract本研究以還原除權息之MSCI台股指數為基礎,以單根檢定、共整合、誤差修正模型、向量自我迴歸模型、Granger因果分析等方式進行多面向關聯性分析,分別探討台股與國際股市 (主要為金磚四國) 連動性、金融面變數、實質面變數、以及行為及資訊不對稱面變數之關聯性。
結果發現2001年之前的台股與國際股市並不具共整合現像,分散投資是可行的策略;2001年之後台股與金磚四國等股市呈現共整合現像,中國市場領先台股且對所有市場皆有單向Granger因果關係,代表大陸股市可作為我們投資台股之參考,但於2001年後分散投資的效果也因大陸與國際股市連動程度提高而有所遞減。
金融面變數部分以M1B對台股影響最顯著,而匯率、利率、通膨間有連動關係;實質面變數部分則以銅價對於台股影響最顯著,工業生產指數則可用作景氣確認之指標;而在行為及資訊不對稱面變數的部份,可由董監持股變化觀察到資訊不對稱之現象,而由VIX指數可發現,股票市場由恐慌調整回正常之情況可能需時1個月以上,而美債十年期殖利率比黃金更適合當作恐慌情緒的觀察指標。
zh_TW
dc.description.abstractThe main purpose of this study is to focus on the correlations of MSCI Taiwan gross return index with certain international stock indexes (i.e. Brazil, Russia, India, China, or “BRIC”, and U.S.) and pre-defined factors. The type of factors under the scope of this study can be categorized into financial market factors, real business factors, and other factors and the study methodologies adopted within this paper are Unit root test, Vector Autoregression Model, Johansen’s cointegration model, and Granger Causality Test.
The findings of this study conclude that there was no correlation among the stock indexes in Taiwan, U.S., and BRIC prior to 2001, therefore investors can benefit from a diversified portfolio consisted of stock indexes of these markets. Since 2001, however, the stock markets among Taiwan, U.S., and BRIC have become more correlated and it appears that Taiwan’s stock index started to follow the stock index of China, according to the Granger Causality Test conducted in this study. With an increased degree of correlation; however, the benefit of diversification among these countries starts to diminish
This study also discovers that M1B has the most significant impact among financial market factors on the movement of Taiwan’s stock index even though certain degree of correlation does exist between Taiwan’s stock index and other financial market factors such as exchange rate, interest rate, WPI, or CPI.
Among the real business factors, the one with most significant impact on Taiwan’s stock index is the price of copper, and we can use industry production index as a good indicator to assess the overall economic condition.
Last but not least, for the other factors, we noted the reflection of asymmetric information through observing the change in the key controlling shareholders’ ownership in a publicly traded company, and it would take more than one month for the stock market to recover from the impacts caused by irrational market reactions. In addition, the yield of U.S. 10-year T-Note is a better indicator than gold’s price when investors want to gauge the degree of fear in Taiwan’s stock market.
en
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Previous issue date: 2012
en
dc.description.tableofcontents口試委員會審定書…………………………………………………………….i
誌謝…………………………………………………………………………ii
中文摘要……………………………………………………………………iii
英文摘要…………………………………………………………………….iv
目錄………………………………………………………………………...vi
圖目錄……………………………………………………………………..viii
表目錄………………………………………………………………………ix
附錄…………………………………………………………………………x
第一章 緒論………………………………………………………………...1
1.1 研究背景與動機……………………………………………………1
1.2 研究目的…………………………………………………………...3
1.3 研究架構…………………………………………………………...7
第二章 相關理論基礎與文獻回顧……………………………………………9
2.1 國際股市與台股之連動性…………………………………………...9
2.1.1 理論依據……………………………………………………….9
2.1.2 相關文獻說明…………………………………………………11
2.2 金融面變數與台股連動性………………………………………….13
2.2.1 理論依據……………………………………………………...13
2.2.2 相關文獻說明…………………………………………………15
2.3 實質面變數與台股之連動性……………………….……………….17
2.3.1 理論依據……………………………………………………...17
2.3.2 相關文獻說明…………………………………………………18
2.4 市場行為及資訊不對稱變數與行為與台股之連動性……………...20
2.4.1 理論依據……………………………………………………...20
2.4.2 相關文獻說明…………………………………………………22
第三章 實證模型與資料說明……………………………………………….23
3.1 實證流程說明……………………………………………………..23
3.2 實證變數說明……………………………………………………..25
3.3 實證研究方法……………………………………………………..28
3.3.1 單根檢定……………………………………………………...28
3.3.2 共整合檢定與誤差修正模型……………………………………30
3.3.3 向量自我迴歸模型…………………………………………….31
3.3.4 Granger因果關係檢定…………………………………………32
第四章 實證結果分析……………………………………………………...35
4.1 單根檢定………………………………………………………….35
4.2 共整合檢定………………………………………………………..37
4.2.1 共整合向量個數檢定…………………………………………..37
4.2.2 誤差修正模型………………………………………………....40
4.3 向量自我迴歸模型………………………………………………...41
4.4 Granger因果關係檢定……………………………………………...45
第五章 結論與建議………………………………………………………...58
5.1 結論………………………………………………………………58
5.2 後續研究建議……………………………………………………..58
參考文獻……………………………………………………………………60
dc.language.isozh-TW
dc.subjectVIXzh_TW
dc.subjectMSCI台股zh_TW
dc.subject共整合zh_TW
dc.subject自我迴歸向量zh_TW
dc.subject貨幣供給M1Bzh_TW
dc.subject金磚四國zh_TW
dc.subject油價zh_TW
dc.subjectMSCI Taiwan indexen
dc.subjectVIXen
dc.subjectOil priceen
dc.subject BRICen
dc.subjectM1Ben
dc.subjectJohansen’s Cointegration Modelen
dc.subjectVector Autoregression Modelen
dc.title台股多面向連動性分析zh_TW
dc.titleMulti-Factor Analysis of Co-movement of
MSCI Taiwan Index
en
dc.typeThesis
dc.date.schoolyear101-1
dc.description.degree碩士
dc.contributor.oralexamcommittee林金龍,郭平欣,高月霞
dc.subject.keywordMSCI台股,共整合,自我迴歸向量,貨幣供給M1B,金磚四國,油價,VIX,zh_TW
dc.subject.keywordMSCI Taiwan index,Vector Autoregression Model,Johansen’s Cointegration Model,M1B, BRIC,Oil price,VIX,en
dc.relation.page69
dc.rights.note同意授權(全球公開)
dc.date.accepted2012-10-12
dc.contributor.author-college社會科學院zh_TW
dc.contributor.author-dept經濟學研究所zh_TW
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