系統識別號 | U0002-0507200712343400 |
---|---|
DOI | 10.6846/TKU.2007.00169 |
論文名稱(中文) | 臺灣石化產業上中下游股價指數之關聯性 |
論文名稱(英文) | The Interrelationships among the Stock Indexes of the Upper, Middle and Lower Stream of the Petrochemical Industry in Taiwan |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 財務金融學系碩士在職專班 |
系所名稱(英文) | Department of Banking and Finance |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 95 |
學期 | 2 |
出版年 | 96 |
研究生(中文) | 陳飛宏 |
研究生(英文) | Fei-Hung Chen |
學號 | 793490250 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | |
口試日期 | 2007-06-21 |
論文頁數 | 52頁 |
口試委員 |
指導教授
-
聶建中
共同指導教授 - 莊孟翰 委員 - 張倉耀 委員 - 陳達新 委員 - 涂登才 |
關鍵字(中) |
臺灣石化業股價指數 單根檢定 共整合檢定 因果關係 衝擊反應 非線性分析 |
關鍵字(英) |
the stock indexes of petrochemical industry in Taiwan Unit-root test Cointegration test Granger causality Impulse response Nonlinear test |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
本文主要探討臺灣石化產業上中下游股價加權股價指數之間的關聯性。選取民國93年1月2日至95年12月29日期間,參考臺灣證券交易所發行量加權股價指數編製之方式,編製臺灣石化產業上中下游各發行量加權股價指數,再探討彼此間之關聯性。研究方法利用傳統單根檢定及Bierens(1997)、Breitung(2002)非線性單根檢定,測試變數是否為穩定序列;再以Johansen(1988,1990,1992,1994)最大概似估計法及Bierens (1997)、Breitung(2002) 非線性無母數共整檢定法,檢定變數間是否存在長期均衡關係;運用線性及非線性因果關係檢定方法探討變數間領先落後關係;亦以一般化及非線性衝擊反應函數,檢定變數間短期互動關係。實證結果發現:各變數在差分後呈現定態;變數間不存在長期均衡關係;由非線性因果關係檢定,上游指數與中游指數間及中游指數與下游指數間,不存在領先落後的因果關係,而下游指數對上游指數有領先關係;由非線性衝擊反應,上游指數對中游指數及上游指數對下游指數在短期內均有明顯正向衝擊反應,而中游指數對下游指數亦然。 |
英文摘要 |
This study explores the relationship between the upper stream stock index,the middle stream stock index, and the lower stream stock index of the petro-chemical industry in Taiwan. Specifically, the relationship between these indexes respectively from Jan. 2nd, 2004 to Dec. 29th, 2006 will be examined. Firstly, this study measures the stationarity of variables with traditional unit-root test method and nonlinear unit-root test by Bierens(1997) and Breitung(2002). Secondly, we examine the long-run equilibrium among variables via Maximum Likelihood Estimation by Johansen(1988,1990,1992,1994) and nonlinear Nonparametric cointegration test by Breitung(2002). The lead/lag relationship among variables is investigated by linear and nonlinear Granger Causality Test as well. By exerting traditional and nonlinear impulse response function, this study examines short-run interactive relationship among variables,too.The empirical results are as follow :(1) After 1st difference,these variables become stable. (2)There is no long-run equilibrium relationship among variables. (3) There is no lead/lag relationship between the upper stream stock index versus the middle stream stock index and the middle stream stock index vs.the lower stream stock index in Granger Causality Test. The lead/lag relationship only exists between the lower stream stock index and the upper one.(4)The impulse response function exists between the upper stream stock index versus the middle one ,the upper one vs. the lower one and the middle one vs. the lower one. |
第三語言摘要 | |
論文目次 |
第壹章 緒論 第一節 研究動機...............................................1 第二節 研究目的...............................................3 第三節 研究架構...............................................4 第貳章 文獻探討 第一節 相關議題文獻...........................................7 第二節 相關研究方法文獻.......................................8 第參章 研究方法 第一節 單根檢定...............................................10 第二節 共整合檢定.............................................17 第三節 因果關係檢定...........................................23 第四節 衝擊反應分析...........................................25 第肆章 實證結果與分析 第一節 資料來源與處理方法.....................................31 第二節 原始資料概述...........................................32 第三節 實證結果分析...........................................34 第伍章 結論與建議 第一節 結論...................................................46 第二節 建議...................................................47 參考文獻 國內文獻......................................................48 國外文獻......................................................49 表目錄 表4-1 樣本資料來源..................................................................................................31 表4-2 變數敘述性統計資料......................................................................................32 表4-3 線性單根檢定結果表 Based on SBC(NP,2001)............................................34 表4-4 非線性無母數單根檢定結果..........................................................................35 表4-5 上游指數與中游指數的Johansen共整合檢定結果表..................................36 表4-6 上游指數與下游指數的Johansen共整合檢定結果表..................................36 表4-7 中游指數與下游指數的Johansen共整合檢定結果表..................................37 表4-8 UINDEX與MINDEX的Breitung無母數共整合檢定結果表.......................37 表4-9 MINDEX與DINDEX的Breitung無母數共整合檢定結果表.......................38 表4-10 UINDEX與DINDEX的Breitung無母數共整合檢定結果表......................38 表4-11 變數間的線性因果關係表............................................................................39 表4-12 變數間的非線性因果關係表........................................................................39 表4-13 各變數的非線性雙向回饋因果關係表........................................................39 表4-14 各變數間一般化衝擊反應結果表................................................................42 表4-15 各變數間非結構化衝擊反應結果表............................................................45 表4-16 各變數間一般化與非結構化衝擊反應結果比較表....................................45 圖目錄 圖 1-1 石油形成圖.....................................................................................................1 圖 1-2 國際原油季平均價格圖.................................................................................2 圖 1-3 石化產品流程圖.............................................................................................3 圖 1-4 實證分析流程圖.............................................................................................5 圖 1-5 研究架構圖.....................................................................................................6 圖4-1 臺灣石化產業上游股價指數........................................................................32 圖4-2 臺灣石化產業中游股價指數........................................................................32 圖4-3 臺灣石化產業下游股價指數........................................................................32 圖4-4 臺灣石化產業上、中、下游股價指數.........................................................32 圖4-5 上游指數與中游指數間之一般化衝擊反應圖............................................40 圖4-6 上游指數與下游指數之一般化衝擊反應圖................................................41 圖4-7 中游指數與下游指數之一般化衝擊反應圖................................................42 圖4-8 中游指數對上游指數非結構化衝擊反應圖................................................43 圖4-9 上游指數對中游指數非結構化衝擊反應圖................................................43 圖4-10 下游指數對中游指數非結構化衝擊反應圖................................................43 圖4-11 中游指數對下游指數非結構化衝擊反應圖................................................44 圖4-12 下游指數對上游指數非結構化衝擊反應圖................................................44 圖4-13 上游指數對下游指數非結構化衝擊反應圖................................................44 |
參考文獻 |
國內部份 地球科學文教基金會(1999),地球科學園地季刊12月冬季號第12期 李倩慧(2005),國內外系統風險對各產業類股指數的影響,世新大學經濟學研究所碩士論文 李淑貞(2007),台灣股票型基金規模與股市的非線性關係探討,淡江大學財務金融學研究所碩士論文 洪志傑(2000),股價關聯互動之研究—我國半導體業上、中、下游個案,大葉 大學事業經營研究所碩士論文 翁唯峻(2000),半導體產股價關連性暨泡沫檢定,東吳大學企業管理學系研究所碩士論文 徐武軍(2005),石油化學工業-原料製程及市場,五南出版社 浩君(2005),石油到底出了什麼問題,海鴿出版社 陳萱倫(2002),台灣、美國、日本半導體產業股價連動關係,成功大禶~管 理學研究所碩士論文 郭智凱(2006),台灣股價與總體經濟變數間非線性關係探討,逢甲大學經濟學所碩士論文 蔡瑋哲(2005),股價與股利間的非線性探討,逢甲大學經濟學所碩士論文 聶建中、林少斌、莊亨懋 (2004),台灣半導體上、中、下游產業股價指數之 連動性探討,臺大管理論叢 國外部份 Bernanke, B.S. (1986), “Alternative Explanations of the Money-Income Correlation”, Carnegie-Rochester Conference Series on Public Policy,25,pp.49-100. Bhargava, A. (1986), “On the theory of testing for unit roots in observed time series”,Review of Economic Studies,53,pp.369-384. Bierens, H.J. (1993), “Higher-order Sample Autocorrelations and the Unit Root Hypothesis”,Journal of Econometrics,57,pp.137-160. Bierens, H.J. (1997), “Nonparametric Cointegration Analysis”, Journal of Econometrics, 77,pp.379-404. Bierens, H.J. (2005), “Nonparametric Nonlinear Co-Trending Analysis, With an Application to Interest and Inflation in the U.S.”, Journal of Business & Economic Statistics,18,pp.323-337. Bierens, H.J. and Hosin Song. (2006), “Nonparametric Identification of First-Price Auction Models with Unbounded Values and Observed Auction-Specific Heterogeneity, Working Paper”,Pennsylvania State University. Bierens, H.J. and S. Guo (1993),“Testing Stationarity and Trend Stationarity Against the Unit Root Hypothesis”,Econometric Reviews, 12,pp.1-32. Breitung, J. (2001), “Rank Tests for Nonlinear Cointegration”,Journal of Business and Economic Statistics, 19,pp.331-340. Breitung, J. (2002), “Nonparametric Tests for Unit Roots and Co- integration”, Journal of Econometrics,108,pp.343-364. Breitung, J. and W. Meyer. (1994), “Testing for Unit Roots in Panel Data: Are Wages on Different Bargaining Levels Cointegrated ?” ,Applied Economics,26,pp.353-361. Campbell, J.Y. and P. Perron (1991), “Pitfalls and opportunities: what macroeconomists should know about unit roots”,NBER Macro- economics Annual,pp.141-201. Cooley, T.F. and S.F. LeRoy (1985), “Atheoretical Macroeconometrics-A Critique”, Journal of Monetary Economics,16,pp.283-308. Dickey, D.A. and W.A. Fuller (1979), “Distribution of the estimator for Autoregressive time series with a unit root”, Journal of the American Statistical Association,74,pp.427-431. Dufour, J.M. and M. King (1991), “Optimal Invariant Tests for Auto- correlation Coefficient in Linear Regressions with Stationary and Nonstationary Errors”, Journal of Econometrics,47,pp.115 -143. Elliott, G., T.J. Rothenberg and J.H. Stock (1996), “Efficient Tests for Autoregressive Unit Root”,Econometrica,64,pp.813-836. Enders,W.and P.L. Siklos (2001), “Cointegration and Threshold Adjustment”, Journal of Business Economics and Statistics, 19,pp.166-167. Engle, R.F. and C.W.J. Granger (1987), “Cointegration and Error Correction: Representation,Estimation and Testing”,Eco- nometrica,55,pp.251-276. Granger, C.W.J. (1969),“Investigating Causal Relation by Econometic Models and Cross-Spectral Methods”, Econometrica,37(3),pp. 424-438. Granger, C.W.J. (1981), “Some properties of Time Series Data and Their Use in Econometric Model Specification”, Journal of Eco- nometrics,16,pp.121-130. Granger, C.W.J. (1988), “Some Recent Developments in a Concept of Causality”, Journal of Econometrics,39(1,2),pp.199-211. Granger, C.W.J. and P. Newbold (1974),“Superious Regressions in Econometrics”,Journal of Econometrics,2(2),pp.111-120. Granger, C.W.J. and T. Teräsvirta (1993), “Modelling Nonlinear Economic Relationships”,Oxford.U.K.:Oxford University Press. Hansen, H. and K. Juselius (1995), “CATS in RATS:Cointegration Analysis of Time Series”,Estima: Evanston, Illinois, USA. Johansen, S. (1988), “Statistical Analysis of Cointegration Vectors”, Journal of Economic Dynamics and Control,12,pp.231-254. Johansen, S. (1991), “Estimation and Hypotheses in Testing of Cointegration Vector in Gaussian Vector Autoregressive Model”, Econometrica,59,pp.1551-1580. Johansen, S. (1994), “The Role of the Constant and Linear Terms in Cointegration Analysis of Nonstationary Variables”, Econometric Reviews,13(2),pp.205-229. Johansen, S. (1995), “Likelihood-based Inference in Cointegrated Vector Autoregressive Models”, Oxford University Press, New York Johansen, S. and K. Juselius (1990), “Maximum Likelihood Estimation and Inference on Cointegration – with Applications to the Demand for Money”,Oxford Bulletin of Economics and Statistics,52.pp.169-210. Kapetanios, G., Y. Shin and A. Snell, (2003), “Testing for a unit root in the nonlinear STAR framework”, Journal of Econometrics,112, pp.359-379. King, R., C.I. Plosser, J.H. Stock and M.M. Waston(1991), “Stochastic Trends and Economic Fluctuations”,American Economic Review, 81,pp.819-840. Kwiatkowski, D., P.C.B Pillips, P. Schmidt, and Y. Shin(1992), “Testing the Null Hypothesis of Stationary Against the Alternative of a Unit Root”, Journal of Econometrics, 54,pp.159-178. Lutkepohl, H. and H.E. Reimers (1992), “Granger-causality in Cointegrated VAR Processes: The Case of the Term Structure”, Economics Letters,40,pp.263-268. Luukkonen, R., P. Saikkonen, T. Teräsvirta, (1988), “Testing linearity against smooth transition autoregressive models”, Biometrika,75,pp.491-499. Mackinnon, J. (1991), “Critical values for cointegration tests, long- run economic relationships reading in Cointegration(Ed.) R.F. Engle and C.W.J. Granger”,Oxford University Press, New York,pp.267-276. Nelson, C.R. and C.I. Plosser (1982), “Trends and Random Walks in Macro- economic Time Series-Some Evidence and Implications”, Journal of Monetary Economics,10(2),pp.139-161. Ng, Serena, and Pierre, Perron, (2001),“Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power”, Econometrica,69,pp.1519-1554. Nieh, C.C. and C.F. Lee (2001),“Dynamic Relationship between Stock Prices and Exchange Rates for G-7 Countries”,Quarterly Review of Economics and Finance,41(4),pp.477-490. Osterwald-Lenum, M. (1992),“Practitioner’s Corner- A Note with Quantiles of the Asymptotic Distribution of the Maximum likelihood Cointegration Rank Test Statistics”,Oxford Bulletin of Economics and Statistics,54,pp.461-472. Pesaran, M.H. and Y.Shin (1998),“Generalized Impulse Response Analysis in Linear Multivariable Models”,Economic Letters,58,pp.17-29. Phillips, P.C.B. and P. Perron, (1988), “Testing for a Unit Root in Time Series Regression”,Biometrika,75,pp.335-346. Schwert, G.W. (1989),“Test for Unit Roots:A Monte Carlo Investigation”, Journal of Business Economics and Statistics,7,pp.147-159. Sims, C.A. (1980),“Macroeconomics and Reality”,Econometrica,48, pp.1-48. Sims, C.A. (1986),“Are Forecasting Models Usable for Policy Analysis ?”,Federal Reserve Bank of Minneapolis Quarterly Review,pp. 1-16. Teräsvirta, T. (1994),“Specification, Estimation, And Evaluation of Smooth Transition Autoregressive Models”,Journal of American Statistic Association,89,pp.281-312. Teräsvirta, T. and Anderson, H. (1992),“Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models”,Journal of Applied Econometrics,7,pp.119-139. Zhou, Su (1996), “The Response of Real Exchange Rates of Various Economic shocks”, Southern Economic Journal,61(4),pp.936-954. |
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