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論文名稱 Title |
總體經濟因子對美國股價指數變動率之影響 The Impact of Macroeconomic Factors on the U.S. Stock Index |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
45 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2013-06-14 |
繳交日期 Date of Submission |
2013-06-16 |
關鍵字 Keywords |
美國股價變動率、迴歸分析、長短利差、聯邦基金利率、匯率指數、物價指數 interest rate spread, federal funds rate, exchange rate index, price index, U.S. stock index, regression analysis |
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統計 Statistics |
本論文已被瀏覽 5755 次,被下載 376 次 The thesis/dissertation has been browsed 5755 times, has been downloaded 376 times. |
中文摘要 |
影響股價報酬的總體經濟訊息的發佈與國家經濟體系的息息相關,當股市發生大波動時,為了探究其背後影響的主因,本文採用下列四個解釋變數代表各項總體經濟環境的變化。1.長短利差:國庫券長期利率與短期利率之間的差額,代表經濟景氣的情況,了解市場資金寬鬆或緊縮。2.聯邦基金利率:代表貨幣政策的鬆緊,上升代表緊縮,對股市有負面影響。3.匯率指數:代表國際貿易情形。4.物價指數:透過原物料期貨指數了解通貨膨脹的情形。應變數是以S&P500每日變動率代表股價波動情形。 本研究第一部分採用S&P500指數變動率。觀察迴歸係數,長短利差和物價指數是與美國股價指數變動率同向變動;聯邦基金利率及匯率指數是與美國股價指數變動率反向變動。第二階段,將四個自變數對S&P500分類指數的迴歸分析,選取零售、電力、科技、金屬礦產、航空服務、醫療、銀行業以及建築業,共八個產業作為分析對象。第三階段,將四個自變數對S&P500分類指數國內外對照的迴歸分析。本研究篩選出SPDR的S&P500分類指數中,有美國國內的ETF同時有美國國外同產業的ETF,一共有金融業、醫療、金屬礦產業、科技業和能源業等六個產業。 一連串分析之下,歸納出長短利差、物價指數對美國股市造成同向影響;聯邦基金利率、匯率指數則與美國股市變動方向相反。在區隔產業的分析下,也可得到相同的相關結論。 從這些總體經濟的分析,我們可以從長短利差、聯邦基金利率、匯率、物價這些常見的預測總體經濟對股價造成的變化,了解股價的走向與變動幅度。 |
Abstract |
This paper uses four factors, interest rate spread, federal funds rate, exchange rate index and price index, to explain S&P500's daily returns. First, the interest rate spread and price index have positive coefficients with S&P500's daily returns from OLS regression model, and, however, the federal funds rate and exchange rate index have negative coefficients with S&P500's daily returns. Second, we regress S&P500's domestic indices with these four factors to analyze the returns from its domestic part. The S&P500 index's domestic part includes ETFs only in the U.S. Third, we regress S&P500's six classed indices with these four factors to analyze the returns from those classed indices. Those six categories include domestic and foreign ETFs in S&P500 index. In the first model, the interest rate spread and price index have positive coefficients with S&P500's daily returns, the federal funds rate and exchange rate index have negative coefficients with S&P500's daily returns. In the classed S&P500 indices regression model, the coefficients are significant and our conclusions are consistent with first model, no matter its category is domestic or world-wide. From our research, it's useful to analyze S&P500's daily return by four common factors: interest rate spread, federal funds rate, exchange rate index and price index, and it's helpful to investors studying macro-economic situation by daily data. |
目次 Table of Contents |
論文審定書 i 摘要 ii Abstract iii 目錄 iv 表目錄 v 第壹章 緒論 1 第一節 研究背景、動機 1 第二節 研究目的 2 第貳章 文獻探討 3 第一節 和應變數有關的研究 3 第二節 和自變數有關的研究 5 第参章 研究設計與方法 8 第一節 研究模型 8 一、迴歸分析 (regression analysis) 8 二、配適度(goodness of fit) 11 三、共線性問題(Collinarity) 12 第肆章 實證結果分析 14 第一節 研究主題架構 14 第二節 變數介紹、資料來源、資料期間與資料處理 15 一、應變數 15 二、自變數 15 第三節 檢定結果 17 一、自變數共線性檢定與相關係數分析 17 二、迴歸分析(S&P指數變動率) 18 第四節 產業檢定結果 25 一、美國國內產業之迴歸分析 25 二、美國國內外產業比較之迴歸分析 28 第伍章 結論 30 參考文獻 33 附錄 37 |
參考文獻 References |
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