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研究生: 傅陽
Yang Fu
論文名稱: 原油價格與兩岸三地股價指數之關聯性研究
The Relationship between Crude Oil Price and the Stock Indexes of the Chinese Circle, including Taiwan, Hong Kong, and Mainland China
指導教授: 陳俊男
Chun-Nan Chen
口試委員: 謝劍平
林軒竹
李竹芬
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 50
中文關鍵詞: 原油價格股價指數單根檢定向量自我回歸模型(VAR 模型)Granger 因果關係檢定衝擊反應函數預測誤差變異數分解共整合檢定
外文關鍵詞: Crude Oil Prices, Vector Autoregression Model, Granger Causality Tests, Impulse Response Function, Forecast Error Variance Decomposition, Cointegration Test
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  • 石油對於現代人的重要性不言而喻,從上個世紀幾次石油危機可以看出原油價格波動對全世界造成的影響有多大,不管是已開發國家或是新興國家對於石油的需求都十分可觀,本文在此大前提下,欲探討金融海嘯後十年間原油價格波動與兩岸三地不同股市間的互動關係,給予股市投資人一個參考的依據。
    本文利用時間序列模型對杜拜原油價格、臺灣加權股價指數、香港恆生指數、上海綜合指數以及深圳綜合指數等五個變數做分析。在VAR模型中可以發現落後期的原油價格對上海綜合指數以及深圳綜合指數有影響。Granger因果檢定並沒有發現原油價格領先其餘四股價指數的現象,但是臺灣加權股價指數和香港恆生指數卻有領先原油價格的現象。衝擊反應分析的結果顯示油價衝擊對四個股價指數的影響皆為短期效果。而從預測誤差變異數分解的結果可以看到,所有變數所佔最大比例的部分都是其自身,而原油價格預測誤差變異數對四個股價指數的解釋力皆不足1%,但是隨著期數往後有遞增的現象。此外,透過共整合檢定發現杜拜原油價格、臺灣加權股價指數、香港恆生指數、上海綜合指數以及深圳綜合指數間不存在共整合現象,也就是說他們彼此間並無存在長期均衡關係。


    The importance of oil to people is self-evident nowadays. It can be seen how much the fluctuations of crude oil price influence the world from the several oil crises happened in the last century. The demand for oil is substantial both in developed and emerging countries. On the premise, this article intends to explore the interactive relationship between crude oil price fluctuations and the Asian stock markets in the ten years after the financial crisis. Investors who would like to invest in those stocks markets can also receive a basis for reference from this article.
    This paper uses time series models to analyze five variables including Dubai crude oil price, TAIEX, HSI (Hang Seng Index), SSEC (Shanghai Stock Exchange Composite Index) and SZSE (Shenzhen Stock Exchange Composite Index). It can be found in the VAR model that the crude oil price in the backward period had an impact on SSEC and SZSE. Granger causality test did not find that the price of crude oil was leading the other four stock price indexes, but the price of crude oil was Granger caused by TAIEX and HSI. The results of the impulse response analysis show that the impact of oil price shocks on the four stock price indexes were short-term effects. From the results of the forecast error variance decomposition analysis, it can be seen that the largest proportion of all variables is its own, while the crude oil price forecast error variance decomposition has an explanatory power of less than 1% for the four stock price indexes. The number increased gradually when traced back further. In addition, through the cointegration test, it was found that there is no cointegration between Dubai crude oil prices, TAIEX, HSI, SSEC and SZSE, which means that they did not have a long-term equilibrium relationship with each other.

    中文摘要 I Abstract II 誌謝 III 目錄 IV 圖目錄 VI 表目錄 VII 第壹章、 緒論 1 第一節、 研究背景與動機 1 第二節、 研究目的 3 第三節、 論文架構與流程 5 第貳章、 文獻回顧 7 第一節、 原油價格與總體經濟之關聯 7 第二節、 原油價格與股價指數之關聯 10 第參章、 研究方法 12 第一節、 單根檢定(Unit Root Test) 12 第二節、 向量自我回歸(Vector AutoRegression) 14 第三節、 Granger 因果關係檢定(Granger Causality Tests) 15 第四節、 衝擊反應函數(Impulse Response Function) 16 第五節、 預測誤差變異數分解(Forecast Error Variance Decomposition) 17 第六節、 共整合檢定(Cointegration Test) 18 第肆章、 實證結果與分析 20 第一節、 資料來源與變數定義 20 第二節、 單根檢定 21 第三節、 向量自我回歸 23 第四節、 Granger因果關係 24 第五節、 衝擊反應函數 26 第六節、 預測誤差變異數分解 29 第七節、 共整合檢定 33 第伍章、 結論與建議 35 第一節、 研究結論 35 第二節、 未來研究建議 36 參考文獻 38 中文文獻 38 英文文獻 39

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