請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31485完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 謝德宗(Der-Tzen Hsieh) | |
| dc.contributor.author | Chieh-Yu Chen | en |
| dc.contributor.author | 陳介宇 | zh_TW |
| dc.date.accessioned | 2021-06-13T03:13:38Z | - |
| dc.date.available | 2021-12-31 | |
| dc.date.copyright | 2011-08-12 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-30 | |
| dc.identifier.citation | 中文文獻
1. 台灣塑膠工業股份有限公司 http://www.fpc.com.tw/ 2. 任淑儀(2001),《台灣景氣循環與國際原油價格-共整合及共特徵分析》, 國立台北大學經濟研究所碩士論文。 3. 朱建州(1999),《機構投資人與月營收資訊內涵之關聯性研究-以台灣股 市為例》,國立中正大學會計學研究所未出版碩士論文。 4. 何秀芳(2000),《再論月營收公告知資訊內涵》,國立台灣大學會計研究 所未出版碩士論文。 5. 吳幸姬、李顯儀(2006),《產業月營收與股價報酬的關聯性之研究》,管 理科學研究,第3 卷,第2 期,頁61-74 6. 張懿芬(2004),《股價浮動的總體決定因素:以台灣、南韓、新加坡及香 港為例》,南華大學經濟學研究所碩士論文。 7. 許溪南、羅志賢(1999),《股票價格與成交量之關聯性-理論與實証回 顧》。 8. 陳旭昇(2009),《時間序列分析-總體經濟與財務金融之應用,修訂版》, 東華。 9. 陳東明(1991),《台灣股票市場價量關係之實證研究》,台灣大學商學研 究所碩士論文。 10. 郭姿鹬(2005),《國際油價走勢及對經濟之影響》,台灣經濟研究院產業 資料庫文章。 11. 陳玲慧(2001),《台灣股票加權股價指數漲跌與法人交易互動關係之VAR 模式研究》,環球技術學院學報,第一期,45-54。 12. 陳淑玲(2004),《石油價格與黃金價格衝擊對台灣加權股價指數期、現貨 的影響》,國立台北大學合作經濟研究所碩士論文。 13. 楊奕農(2005),《時間序列分析與財務上之應用》,雙頁書廊。 14. 劉祥熹、李崇主(2000),《台灣地區外資,匯率與股價關聯性之研究-VAR 與VECM 之應用》,證券市場發展季刊,第12 卷,第3 期,頁1-41 頁。 英文文獻 1. Beaver, A. , Lambert, R. and Morse, D.(1980).“The information content of security prices.”Journal of Accounting and Economics, Vol.2, pp.3-28. 2. Burbidge, J. and A. Harrison(1984). “Testing for the effects of oil-price rises Using vector autoregressions”, International Economic Review, Vol.25, 459-84. 3. Close, N.(1975).“Price reaction to large transaction in the Canadian equity markets”, Financial Analysts Journal, 50-57. 4. Cuñado, J. and Fernando Pérez de Gracia(2003).“Do oil price shocks matter? Evidence for some European countries,”Energy Economics, Vol.25, 137-154. 5. Easton, P. and Zmijewski, M.(1989).“Cross-sectional variation in the stock market response to accounting earnings announcements.”Journal of Accounting and Economics, Vol.11, pp.117-141. 6. Hamilton, J. D.(1983), “Oil and the macroeconomy since World War II,” Journal Politic Economy', Vol.91, No.2, 228-248 7. Hooker, Mark. A. (1996). “What Happened to the Oil Price-Macroeconomy Relationship ?” Journal of Monetary Economics , Vol.38, 195-213. 8. Johansen, S.(1988).“ Statistical Analysis of Co-integration Vectors,” Journal of Economics Dynamics and Control, Vol.12, 231~254. 9. Kasa, K.(1992).“ Common Stochastic Trends in International Stock Market,” Journal of Monetary Economics, Vol.29, 95~124. 10. Lakonishok, J.and Shleifer, R. Vishny(1992). “The Impact of Institutional Trading on Stock Prices, ” Journal of Financial Economics, Vol.32, No.1, pp. 23-43. 11. 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, Vol.41(4), 477-490. 12. Schwert, G. W.(1989). 'Tests for Unit Roots: A Monte Carlo Investigation,' Journal of Business and Economic Statistics, Vol.7, 147-159. 13. Wahab, M. and M. Lashgari(1993). “Price Dynamics and Error Correction in Stock Index and Stock Index Futures Markets: A Cointegration Approach” The Journal of Futures Markets, Vol.13, 711-742. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31485 | - |
| dc.description.abstract | 原油為塑化產業最上游原料,油價走勢將牽動整體塑化產業表現。一般來說,油價上漲促使塑化產業提高報價,在原先庫存原料成本較低情況下,將使產業利潤大幅提升,是以塑化產業股價會正向反應在油價變動上,然而長期持續高油價將會阻礙經濟成長並使塑化業成本提高而侵蝕利潤,因此塑化產業表現和油價間的互動關係值得探討。台塑為全台灣最大的民營企業,是以本文挑選台塑企業做為塑化產業分析標的,以西德州原油近期價、工業生產總指數、匯率、M1B 餘額及
法人持股比例為解釋變數。 研究架構上,由2000 年1 月至2010 年12 月樣本資料,以VAR 模型、Granger因果關係、衝擊反應函數、共整合檢定、誤差修正模型進行實證分析,由實證結果獲得重要結論如下:1.總體變數對台塑股價影響並不顯著且模型配適度低,此外,股價和月營收間並無相互影響之因果關係,亦即不符合盈餘資訊內涵臆說假設。法人持股比例對股價關聯性也不顯著,顯示出台塑股價在反應市場資訊上具有效 率性。2.根據共整合檢定,可以發現長期上股價和工業生產總指數以及M1b 貨幣餘額有顯著正相關。3.台塑股價顯著領先原油近期價且為正相關,隱含原油期貨價格訊息很容易被投資人掌握,是以原油近期價作為解釋變數並無預測功效。4.台塑月營收受自身落後一期顯著負向影響,顯示公司為平滑年度各月份營收,兩期之間亦產生負向影響關係。5.匯率對台塑股價與營收影響不顯著,顯示台塑企業在避險上操作使匯兌的利得和損失對營收影響不大。 | zh_TW |
| dc.description.abstract | Crude oil is the leading factor in plastics industry, whose performance is affected by oil price as well. In general, raising in oil price results in high plastic prices, and it
leads to higher profit of the industry in the event of lower cost of the prior inventories. Consequently, the stock price of plastic industries often fluctuate according to the oil price, whereas high oil price would obstruct the economic growth and would make the cost of plastics industries higher and thus lower the profit. Hence, the relationship between the performance of plastics industry and oil price is worth discussing. In this paper, we employs the data from Formosa Plastics Co. as a benchmark to represent the plastics industry due to its income is one of most outstanding company in Taiwan, and we also employs some major macroeconomic factors such like west Texas Intermediate Crude oil future price, industrial production general index, exchange rate, M1B and the rate of share holdings of institutional investors as our explanatory variables. In this study, we collect data from January 2000 to December 2010, and proceed to our research by using VAR model, Granger causality, Impulse Response Function, Cointegration test, and Vector Error correlation model. The main results are as the following: According to the empirical results, we can draw a conclusion as the following: 1. The effect of macroeconomic variables on Formosa Plastics Co. stock price is statistically insignificant and the model with low fitting level. Furthermore, there is no cause-effect relationship between stock price and monthly sales, which does not consist with the assumption in the information content of earnings either. The relationship between the rate of share holdings of institutional investors and stock price is not statistically significant, which means the information that revealed by the stock price of Formosa Plastics Co. is efficient. 2. According to Cointegration Test, we can find stock price, industrial production general index and M1b significantly positive related in long term. 3. The stock price of Formosa Plastics Co. is leading Oil future price and has a positive effect on it as well. This implies that the information of oil future price is easily to be revealed to investors. Consequently, choosing oil future price as independent variable does not have effect on prediction. 4. The monthly sales in afterward period of Formosa Plastics Co. have negative effects on the monthly sales itself. It reveals that the monthly sales in the prior and afterward period have significant negative effects during smooth year. 5. The effect of exchange rate on Formosa Plastics Co. stock price and sales is insignificant. This shows the hedge that Formosa Plastics Co. operated made little effect on the profit or lost of exchange. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T03:13:38Z (GMT). No. of bitstreams: 1 ntu-100-R98323050-1.pdf: 874538 bytes, checksum: 0cefacec8906b8e7a6cc3f484a2fa2d1 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 目次
中文摘要 ............................................................................................................... I ABSTRACT ......................................................................................................... II 致謝 ..................................................................................................................... IV 目次 ...................................................................................................................... V 表目錄 ................................................................................................................ VII 圖目錄 ...............................................................................................................VIII 第一章 緒論 ........................................................................................................ 1 1.1 研究背景及動機 ........................................................................................ 1 1.2 研究目的 .................................................................................................... 7 1.3 研究範圍 .................................................................................................... 7 1.4 研究流程與架構 ........................................................................................ 8 第二章 文獻回顧 ............................................................................................... 10 2.1 月營收與股價關係之研究 ....................................................................... 10 2.2 油價與股價關係之研究 ........................................................................... 12 2.3 法人持股與股價關係之研究 ................................................................... 14 2.4 其他總體因素與股價關係之研究............................................................ 16 2.5 台塑企業簡介 .......................................................................................... 18 第三章 實證方法與資料處理 ........................................................................... 21 3.1 實證方法................................................................................................... 21 3.1.1 單根檢定 ............................................................................................ 21 3.1.2 向量自我迴歸模型 ............................................................................ 23 3.1.3 衝擊反應函數 .................................................................................... 23 3.1.4 Granger 因果關係檢定 ....................................................................... 24 3.1.5 Johansen 共整合檢定 ......................................................................... 24 3.1.6 誤差修正模型 ................................................................................... 27 3.2 資料來源與變數處理 ............................................................................... 28 3.2.1 資料來源與定義 ................................................................................ 28 3.2.2 相關性分析 ........................................................................................ 31 第四章 實證結果分析 ....................................................................................... 34 4.1 單根檢定結果 .......................................................................................... 34 4.2 向量自我迴歸模型估計結果 ................................................................... 35 4.3 Granger 因果關係檢定結果 ...................................................................... 39 4.4 衝擊反應函數結果 ................................................................................... 42 4.5 Johansen 共整合檢定與誤差修正模型檢定結果 ..................................... 44 第五章 結論與建議 ........................................................................................... 48 5.1 結論 .......................................................................................................... 48 5.2 研究建議 .................................................................................................. 49 參考文獻 ............................................................................................................ 50 附錄一 VAR(4)殘差自我相關檢定結果 ............................................................. 53 附錄二 誤差修正模型結果 ............................................................................... 55 | |
| dc.language.iso | zh-TW | |
| dc.subject | 單根檢定 | zh_TW |
| dc.subject | 股價 | zh_TW |
| dc.subject | Johansen共整合 | zh_TW |
| dc.subject | 誤差修正模型 | zh_TW |
| dc.subject | 月營收 | zh_TW |
| dc.subject | 向量自我回歸模型 | zh_TW |
| dc.subject | Error Correction Model | en |
| dc.subject | Monthly Sales | en |
| dc.subject | Stock Price | en |
| dc.subject | Unit Root Test | en |
| dc.subject | VAR | en |
| dc.subject | Johansen Cointegration Test | en |
| dc.title | 經濟因素與台塑企業月營收、股價關聯性之探討 | zh_TW |
| dc.title | An Empirical Study of the Relationship among Economic Factor, Monthly Sales and the Stock Price: Case of Formosa Plastics Co. | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李顯峰(Hsien-feng Lee),黃淑惠(Shu-Hui Huang) | |
| dc.subject.keyword | 月營收,股價,單根檢定,向量自我回歸模型,Johansen共整合,誤差修正模型, | zh_TW |
| dc.subject.keyword | Monthly Sales,Stock Price,Unit Root Test,VAR,Johansen Cointegration Test,Error Correction Model, | en |
| dc.relation.page | 56 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-01 | |
| dc.contributor.author-college | 社會科學院 | zh_TW |
| dc.contributor.author-dept | 經濟學研究所 | zh_TW |
| 顯示於系所單位: | 經濟學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 854.04 kB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
