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博碩士論文 etd-0516113-153118 詳細資訊
Title page for etd-0516113-153118
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
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
45
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
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
統計
Statistics
本論文已被瀏覽 5755 次,被下載 376
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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