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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/76174
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76174


    Title: 總體經濟變數對於台灣股票市場波動程度之可預測性
    Economic Variables and the Predictability of Stock Volatility in Taiwan
    Authors: 吳湘韻
    Contributors: 趙世偉
    吳湘韻
    Keywords: 股票
    波動度
    預測
    總體經濟
    stock
    volatility
    predict
    Macroeconomic
    Date: 2014
    Issue Date: 2015-07-01 14:45:46 (UTC+8)
    Abstract: 本文研究主旨在討論總體經濟變數是否可以作為台灣股價指數波動度的解釋因子,本文使用線性預測模式,在樣本內與樣本外分析架構下,討論台灣加權股價指數的報酬率波動度是否在加入總體經濟變數後,可以提升模型解釋能力,並且考慮國內外文獻中有討論的財務變數及外匯變數進入模型,觀察台灣實證經驗是否與成熟市場的美國經驗一致。
    在實證結果上,與Paye(2012)使用美國S&P500 指數資料所得出的結果相似,無顯著證據顯示將總體經濟變數納入模型可以改善預測能力,單一變數中,僅有週轉率變數與利率變數的預測能力較佳。此外,個別模型預估值的線性組合方法較能改善模型預測能力,顯示多方訊息的彙整下,含有豐富的市場資訊,可以有效預測股價市場的波動。
    Aggregate stock volatility is changing anytime. The main topic of this thesis tests whether it is possible to improve the stock market volatility forecasts by adding the macroeconomics variables into the linear model. The paper uses the linear predictable model to construct the in-sample and out-of-sample analysis forecast model to test whether the model considering macroeconomics variables outperforms the benchmark model. It is difficult to find the empirical evidence that forecasts on conditioning an macroeconomic variable outperform than the volatility lagged information. Only the financial variables which are Taiwan stock monthly turnover rate and credit variables have improved the model forecast. The most successful approaches involve simple combination of individual forecasts.
    Reference: Andersen T. G., Bollerslev T., Diebold F. X., and Ebens H., (2001). The Distrbution of Stock Return Volatitlity. Journal of Financial Economics,61,43-76.
    Campbell J. Y., and Samuel B. T., (2008). Predicting the Excess Stock Returns Out of Sample : Can any Thing Beat The Historical Average?. The Review of Financial Studies,21(4),1509-1531.
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    Dickey, D. A., and Fuller, W. A., (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association,74 (366),427-431.
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    Paye B. S., (2012). Deja Vol:Preditive Regressions for Aggregate Stock Market Volatility Using Macroeconomics Variables. Journal of Financial Economics,106,527-546.
    Phillips, P. C. B., and Perron, P.,(1988). Testing for a Unit Root in Time Series Regression. Biometrika,75,335-346.
    Schwert G. W., (1989). Why Does Stock Market Volatility Change Over Time?. The Jornal of Finance,44,1115-1153.
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    Stambaugh R. F., (1999). Predictive Regressions. Journal of Financial Economics,54,375-421.
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    李秀雯(1999)。股票市場波動性與總體經濟波動性及市場交易量之關係。未出版之碩士論文,私立淡江大學,財務金融學系。
    倪衍森與徐光耀(1999)。臺灣股市波動性的傳遞性研究。淡江人文社會學刊,171-201。
    郭迺鋒、李麗華、柯佩璇、張佩惠、謝雨豆(2009)。台灣股票市場報酬率波動來源之探討:分量迴歸分析。2009 行為財務學暨新興市場理論與實證研討會。
    陳功業(1999)。台灣股票市場波動性之研究。未出版之碩士論文,國立政治大學,國際貿易學系研究所。
    許文成(1996)。台灣股票市場波動性之衡量及其影響因子之探討。未出版之碩士論文,國立中山大學,財務管理研究所。
    黃德芬(1994)。臺灣股票市場波動性與基本面因素及市場交易因素之關係之實證研究。未出版之碩士論文,國立台灣大學,財務金融學系。
    黃勁豪(2001)。台灣股票市場波動性與總體經濟波動性關係之研究。未出版之碩士論文,私立東海大學,企業管理學系。
    潘勝昱(2012)。總體經濟變數對台灣股價波動性之長、短期影響-以CARR 模型分析。未出版之碩士論文,國立清華大學,經濟學系。
    Description: 碩士
    國立政治大學
    金融研究所
    102352017
    103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102352017
    Data Type: thesis
    Appears in Collections:[金融學系] 學位論文

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