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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 商學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/22552
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳文華(Wun-Hwa Chen)
dc.contributor.authorChang-Yu Linen
dc.contributor.author林昌佑zh_TW
dc.date.accessioned2021-06-08T04:20:37Z-
dc.date.copyright2010-08-18
dc.date.issued2010
dc.date.submitted2010-07-17
dc.identifier.citation中文文獻
王尊賢(2006),《國際銅價決定機制與影響因素之實證分析》,中原大學國際貿易學系碩士學位論文。
劉文海(2009),《2009非鐵金屬特輯-鋁金屬篇》,金屬工業研究發展中心。
楊奕農(2006),《時間序列分析-經濟與財務上之應用》,雙葉書廊有限公司。
蔡獻逸(2008),《全球主要原物料商品價格景氣循環預測分析-馬可夫狀態轉換向量自我迴歸模型應用》,世新大學財務金融系碩士學位論文。
英文文獻
Baffes , John (2007), 'Oil Spills on Other Commodities' World Bank Policy Research Working Paper, No. 4333 Available at SSRN.
Boschi, M. and Pieroni, L. (2009), “Aluminium market and the macroeconomy,” Journal of Policy Modeling, 2009, 31(2), 189-207.
Cheung, Calista and Morin, Sylvie(2007), “The Impact of Emerging Asia on Commodity Prices,” Bank of Canada Working Paper 2007-55.
Dickey, D.A., and Fuller, W.A. (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,” Journal of American Statistics association, 74, pp.427-431.
Dickey, D.A., and Fuller, W.A. (1981),“Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root,” Econometrica, 49, pp.1057-1072.
Engle, R. and Granger, C. (1987),“Co-integration and Error Correction: Representation, Estimation and Testing,” Econometrica, 55, 251-271.
Frankel, Jeffrey A. (2006), “The Effect of Monetary Policy on Real Commodity Prices,” National Bureau of Economic Research, Working Paper 12713.
Granger, C. W. J., and Newbold, P. (1974), “Spurious Regressions in Econometrics,” Journal of Econometrics, 2, 111-120.
Johansen, S.(1988), “Statistical analysis of cointegration vectors,” Journal of Economic Dynamics and Control, 12, 231-254.
Johansen, S. and Juselius, K. (1990), “Maximum likelihood estimation andinference on cointegration with applications to the demand for money,” Oxford Bulletin of Economics and Statistics, 52, 169-210.
Labys, W.C., Lesourd, J.B., and Badillo, D., (1998), “The existence of metal price cycles,” Resources Policy 24 (2), 147–155.
Labys, W.C., Terraza, M., and Achouch, A. (2000), “Metal Prices and the Business Cycle,” Resources Policy, 25:229-238.
Moore, G.H., (1980), “Business Cycles, Inflation and Forecasting,” National Bureau of Economic Research, Cambridge.
Moore, G.H., (1988), “Inflation cycles and metals prices,” Mineral Processing and Extracting Metallurgy Review 3, 95–104.
Phillips, P.C.B. and Perron, P. (1988), “Testing for a Unit Root in Time Series Regression,” Biometrika, 75, pp.335-346
Watkins, C., and McAleer, M., (2006) “Pricing non-ferrous metals futures on the London Metal Exchange,” Applied Financial Economics, 2006, vol. 16, pages 853-880.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/22552-
dc.description.abstract本文針對鋁價之影響因素進行研究,以實證分析方式針對其影響因素加以分析。實證資料選取了倫敦金屬交易所的鋁現貨價、鋁庫存量以及布蘭特原油價格、美國三月期國庫券利率、上海證券綜合指數、OECD工業生產指數與OECD消費者物價指數-能源加以分析,樣本期間為1991年1月至2010 年4月,資料頻率為月資料,共計136 筆。
實證結果發現:
(1) 鋁現貨價格與OECD工業生產指數存在雙向因果關係。顯示鋁現貨價格與工業生產產值之正向互動關係;鋁現貨價格對鋁庫存量存在單向Granger因果關係,顯示鋁價上揚可能抑制鋁的需求亦或造成更多存貨的釋出,使鋁庫存量提高;油價以及庫存量未如預期對鋁現貨價格存在Granger因果關係,顯示此兩因素在統計上並不領先鋁現貨價格。
(2) 衝擊反應函數顯示OECD工業生產指數及利率約在三個月後對鋁現貨價產生顯著正向影響,顯示終端商品需求的增加,反應至原物料—鋁金屬的價格上揚,有時間遞延效果;而利率與鋁價格之變動為長期正相關,則可能與美國聯邦準備理事會抑制通膨有關。
(3) 預測誤差之變異分解顯示鋁現貨價之變動對其自身變動之解釋力逐漸降低;而OECD工業生產指數及利率對於鋁現貨價之變動解釋力則逐漸提高,顯見工業生產產值以及利率對於鋁現貨價格有長期的影響。
對於原物料的採購商而言,必須關注國際上主要國家之工業生產值的變化以及美國利率之變動,此兩因素對鋁現貨價格長期有顯著之影響。
zh_TW
dc.description.abstractThis paper explores the influential factors of the aluminum price. Empirical data includes the London Metal Exchange (LME) aluminum spot price, Brent crude oil price, U.S. 3-months Treasuries interest rates, the Shanghai Composite Index, and two indices, total industrial production index of and consumer price index – energy, compiled by Organisation for Economic Co-operation and Development (OECD), sampling period from Jan. 1991 to Apr. 2010, monthly data, a total of 136 samples. Findings include:
(1) A positive feedback relationship exists between aluminum spot price and the total industrial production of OECD. Aluminum spot price leads aluminum stocks, indicating lower demand and more stock release may due to high spot price, thus increasing the stock; besides, no evidence shows that oil prices and aluminum stocks lead aluminum spot price.
(2) From impulse response function, industrial production of OECD and interest rates have a positive effect on the aluminum spot price after 3 months, showing a positive time-deferred effect of an increasing end products demand to aluminum spot prices; Inflation control by U.S. Federal Reserve Board (FED) maybe the reason positive correlation between Interest rates and aluminum spot prices.
(3) From forecasting error variance decomposition, the influence of aluminum spot price itself decreases over time, while total industrial production of OECD and interest rate increase, indicating a long-term effect of the industrial production and interest rates on aluminum spot prices.
For importers who look on aluminum price, industrial production in major countries of OECD and U.S. interest rate are two dominant factors.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T04:20:37Z (GMT). No. of bitstreams: 1
ntu-99-R97741009-1.pdf: 970520 bytes, checksum: d073f9b82e55bc9c86297b556e93b6c2 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontents口試委員會審定書 i
謝辭 ii
中文摘要 iii
英文摘要 iv
第一章 緒論 1
1.1 研究背景 1
1.2 研究目的 4
1.3 研究架構 4
第二章 文獻探討 5
2.1 原物料商品期貨相關文獻 5
2.2 金屬期貨價格相關文獻 6
第三章 實證方法 7
3.1 實證架構與流程 7
3.2 單根檢定 8
3.3 共整合檢定 11
3.4 向量自我迴歸與誤差修正模型 12
3.5 Granger因果關係檢定 13
3.6 衝擊反應函數 14
3.7 預測誤差變異數分解 15
第四章 實證分析 16
4.1 資料來源與定義 16
4.2 相關性分析 19
4.3 單根檢定 21
4.4 Johansen共整合檢定分析 22
4.5 向量誤差修正模型 25
4.6 Granger 因果關係檢定 29
4.7 衝擊反應函數 31
4.8 預測誤差之變異分解 32
4.9 實證分析總結 33
第五章 結論與建議 35
5.1 結論 35
5.2 研究限制與建議 35
參考文獻 37
附錄 39
dc.language.isozh-TW
dc.subject衝擊反應函數zh_TW
dc.subject鋁價格zh_TW
dc.subject鋁庫存量zh_TW
dc.subject倫敦金屬交易所LMEzh_TW
dc.subject因果關係zh_TW
dc.subjectGranger Causality Testen
dc.subjectImpulse Response Functionen
dc.subjectAluminum Priceen
dc.subjectAluminum Stocken
dc.title鋁價影響因素之實證分析zh_TW
dc.titleAn Empirical Study on the Influential Factors of Aluminum Priceen
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree碩士
dc.contributor.oralexamcommittee游張松(Chang-Sung Yu),黃崇興(Chung-hsing Huang)
dc.subject.keyword鋁價格,鋁庫存量,倫敦金屬交易所LME,因果關係,衝擊反應函數,zh_TW
dc.subject.keywordAluminum Price,Aluminum Stock,Granger Causality Test,Impulse Response Function,en
dc.relation.page41
dc.rights.note未授權
dc.date.accepted2010-07-19
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept商學研究所zh_TW
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