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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/31663

    Title: 股票報酬非線性平滑轉換自我迴歸模型實證研究
    Other Titles: The empirical study of stock market returns in smooth transition autoregressive model
    Authors: 李宥翰;Lee, Yu-han
    Contributors: 淡江大學財務金融學系碩士班
    莊武仁;Chuang, Wu-jen
    Keywords: 股價指數報酬;平滑轉換自我迴歸模型;非線性調整;stock return;smooth transition autoregressive model;nonlinear smooth
    Date: 2007
    Issue Date: 2010-01-11 01:06:36 (UTC+8)
    Abstract: 本篇研究主要的目的是分別探討台灣、南韓、新加坡、香港、日本、中國與美國共七國股價指數報酬的非線性動態調整行為。使用本身股價指數報酬之落後期為解釋變數,並且應用自我迴歸平滑轉換模型來描述股價指數報酬非線性調整的部分。採用 Teräsvirta(1992)所提出之自我迴歸平滑轉換模型下,實證結果發現:
    This paper examines the nonlinear dynamics in stock returns which includes Taiwan、 South Korea、Singapore、Honk Kong、Japan、United States of America and China by using Smooth Transition Autoregressive Model (STAR) and using the lag of stock return as the transition variable.
    Under the STAR model made by Teräsvirta (1992), we have several results. First, the lags of stocks return are different in each country. Meanwhile, all countries have two thresholds and three regimes. Moreover, all stock returns can be explained by Quadratic Logistic Smooth Transition Autoregressive Model (QLSTAR). By crossing the thresholds fastest and smoothest, the stock returns will have different nonlinear dynamics behaviors. Furthermore, the faster and smoothness regime change is the Shanghai Composite Index; the slowest is the Straits Times Index. Finally, the Shanghai Composite Index has the largest distance between two thresholds; the TSEC weighted index has the smallest distance between the two thresholds.
    Appears in Collections:[財務金融學系暨研究所] 學位論文

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