Responsive image
博碩士論文 etd-0518113-131934 詳細資訊
Title page for etd-0518113-131934
論文名稱
Title
金融變數對經濟活動的影響-以G7國家為例
The Effects of Financial Variables on Economic Activities-The Case of G7 Countries
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
121
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2013-06-17
繳交日期
Date of Submission
2013-07-04
關鍵字
Keywords
預測誤差變異數分解、股市指數、金融變數、股市波動、實質經濟活動、殖利率曲線、衝擊反應函數
Stock Market Volatility, Financial Variables, Stock Market Index, The Yield Curve, Impulse Response Function, Forecast Error Variance Decomposition, Real Economic Activities
統計
Statistics
本論文已被瀏覽 5792 次,被下載 1644
The thesis/dissertation has been browsed 5792 times, has been downloaded 1644 times.
中文摘要
隨著金融危機的發生,將會伴隨嚴重的經濟衰退問題,故探討金融變數與實質經濟活動之間的關係有其必要性。本研究中,以股票市場及債券市場之金融變數探討與實質經濟活動的關聯性。衝擊反應函數結果顯示,G7工業國家之股市指數、股市波動對實質GDP呈現正向衝擊影響,而G7工業國家之殖利率曲線對實質GDP呈現負向衝擊影響,且美國、日本及加拿大之股市指數、股市波動對實質GDP較具有衝擊影響。而預測誤差變異數分解結果顯示,G7工業國家中,以美國、日本及英國之股市指數、股市波動對實質GDP較具有解釋能力,但解釋能力最高只達 1 成左右。
Abstract
The occurrence of financial crisis will inevitably lead to serious economic recession. Thus, it is imperative to study the relationship between financial variables and real economic activities. This research examines the relationship between the financial variables of both the stock market and the bond market and real economic activities. The impulse response function result shows that the stock market index and stock market volatility have positive impact on the real GDP of the G7 Industrial Countries whereas the yield curve has negative impact on the real GDP of the G7 Industrial Countries. The stock market index and stock market volatility in Japan, the United States and Canada have greater impact on their real GDP. According to the forecast error variance decomposition, the stock market index and stock market volatility have better explanatory power about the real GDP in the cases of the United States, Japan and the United Kingdom. However, the explanatory power is around only 10%.
目次 Table of Contents
論文審定書...................................................................................................i
誌謝.............................................................................................................ii
中文摘要.....................................................................................................iii
英文摘要.....................................................................................................iv
第一章 緒論................................................................................................1
1.1 研究動機與目的...............................................................................1
1.2 研究架構..........................................................................................3
第二章 文獻回顧.........................................................................................4
2.1 股票市場與經濟活動之相關文獻......................................................4
2.2 債券市場與經濟活動之相關文獻......................................................8
第三章 研究方法.......................................................................................12
3.1 單根檢定........................................................................................12
3.2 向量自我迴歸模型..........................................................................14
3.3 共整合檢定及向量誤差修正模型....................................................15
3.4 衝擊反應函數.................................................................................17
3.5 預測誤差變異數分解......................................................................18
第四章 實證結果分析...............................................................................20
4.1 資料來源及處理.............................................................................20
4.2 實證模型........................................................................................21
4.3 敘述統計量.....................................................................................21
4.4 單根檢定結果.................................................................................24
4.5 Johansen共整合檢定結果..............................................................27
4.6 衝擊反應函數及預測誤差變異數分解結果......................................31
4.6.1 「模型一」-衝擊反應函數、預測誤差變異數分解.................32
4.6.2 「模型二」-衝擊反應函數、預測誤差變異數分解.................64
4.7 綜合研究分析.................................................................................99
第五章 結論與建議.................................................................................104
參考文獻.................................................................................................106
參考文獻 References
中文文獻
朱美智(2006):「剖析全球長期利率走低的因素」,國際金融參考資料,第52輯。
何宗武(2009):「Eviews 高手 -- 財經計量應用手冊」,一版,鼎茂圖書。
吳懿娟(2007):「我國殖利率曲線與經濟活動間關係之實證分析」,中央銀行季刊,92:3,23-64。
林碧雯(2002):「股價報酬與經濟成長關係的跨國實證」,國立政治大學金融研究所碩士論文。
翁百郁(2004):「期間利差、股票報酬與景氣循環關聯性之探討」,淡江大學財務金融研究所碩士論文。。
張淑媛(2003):「長短期利差與經濟成長之關係--以台灣、美國及日本為例」,輔仁大學金融研究所碩士論文。
張淑華(2006):「金融發展與經濟成長之因果關係--日本、台灣與韓國之實證研究」,真理財經學報(14),1-40。
陳仕偉和陳續文(2008):「股價報酬與實質經濟活動 -- 跨國的實證研究」,臺灣銀行季刊,61:3,262-300。
陳旭昇(2009):「時間序列分析 -- 總體經濟與財務金融之應用」,修訂出版,東華書局。
黃昱程(2007):「利率期間結構與實質經濟活動關係之研究」,中國文化大學國際企業管理研究所博士論文。
楊奕農(2005):「時間序列分析 -- 經濟與財務上之應用」,初版,雙葉書廊。
董珮真(2009):「信用緊縮效應顯現,廠商保守應對」,貿易雜誌電子報,第214期。
劉勇(2004):「我國股票市場和總體經濟變數關係的經驗研究」,財貿經濟,第4期,21-27。
劉茂亮(2002):「金融變數與經濟成長的關係」,輔仁大學金融研究所碩士論文。
詹淑櫻和蔡依恬(2012):「歐債危機下的全球貿易變化分析」,國際經濟情勢雙週報,第1762期,5-12。
鍾惠民、周賓凰和孫而音(2011):「財務計量 Eviews 的運用」,初版,新陸書局。
藍淑鳳(2001):「股票報酬與經濟成長--亞洲新興國家之實證研究」,逢甲大學企業管理學系碩士論文。

英文文獻
Antonios, A. (2010):“Stock Market and Economic Growth: An Empirical Analysis for Germany?,”Business and Economics Journal, Vol.2010: BEJ-1.
Arestis, P., Demetriades, P.O. and Luintel, K. B. (2001):“Financial Development and Economic Growth: The Role of Stock Markets,”Journal of Money, Credit, and Banking, 33, 16-41.
Bayoumi, T. and Swiston, A. (2007):“Foreign Entanglements: Estimating the Source and Size of Spillovers Across Industrial Countries,”IMF Working Paper, No. 182.
Binswanger, M. (2004):“Stock returns and real activity in the G-7 countries: did the relationship change during the 1980s?,”Economics and Finance, 44, 237-252.
Boulier, B.L. and Stekler, H.O. (2001):“The term spread as a cyclical indicator: a forecasting evaluation,”Applied Financial Economics, 11(4), 403-409.
Choi, J.J., Hauser, S. and Kopecky, K.J. (1999):“Does stock market predict real activity? Time series evidence from the G-7 country,”Journal of Banking and Finance, 23, 1771-1792.
Engle, R.F. and Granger, C.W.J (1987):“Co-integration and error correction: Representation, estimation, and testing,”Econometrica, 55(2), 251-276.
Estrella, A. and Hardouvelis, G.A. (1991):“The term structure as a predictor of real economic activity,”Journal of Finance, 46, 555-576.
Estrella, A. and Mishkin, F.S. (1998):“Predicting U.S. recessions: Financial variables as leading indicators,”Review of Economics and Statistics, 80(1), 45-61.
Estrella, A. (2005):“Who does the yield curve predict output and inflation?,”Economic Journal, 115, 722-744.
Espinoza, R., Fornari F., and Lombardi, M.J. (2012):“The Role of Financial Variables in Predicting Economic Activity,”Journal of Forecasting, 31, 15-46.
Granger, C.W.J. and Newbold P. (1974):“Spurious regressions in econometrics,”Journal of Econometrics, 2(2), 111-120.
Hoggarth, G., Ricardo R. and Saporta V. (2001): “Costs of Banking System Instability: Some Empirical Evidence,”Journal of Banking and Finance, 26, 825-55.
Janor, H., Halid, N. and Rahman, A.A. (2005):“Stock Market and Economic Activity in Malaysia,”Invest Manage Financ Innov, 4, 116-123.
Johansen, S. (1988):“Statistical analysis of cointegration vectors,”Journal of Economic Dynamics and Control, 12(2-3), 231-254.
Johansen, S. and Juselius, K. (1990):“Maximum likelihood estimation and inference on cointegration - with applications to the demand for money,”Oxford Bulletin of Economics and Statistics, 52(2), 169-210.
Nelaon, C. and Plosser, C. (1982):“Trends and random walks in macroeconomic time series,”Journal of Monetary Economics, 10, 139-162.
Pesaran, M.H. and Shin, Y. (1998):“Generalized impulse response analysis in linear multivariate models,”Economics Letters, 58, 17-19.
Sims, C.A. (1980):“Macroeconomics and reality,”Econometrica, 48(1), 1-48.
Siliverstovs, B. and Duong, M.H. (2006):“On the role of stock market for real economic activity: Evidence for Europe?,”DIW Berlin Discussion Paper, 599.
Stock, J.H. and Watson, M.W. (2003):“Forecasting output and inflation: the role of asset prices,”Journal of Economic Literature, 41, 788-829.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code