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    題名: 外匯市場非線型時間序列之實證研究 --自迴歸條件異質變異數與類神經網路模式分析法
    A Non-linear Series Analysis of Foreign Market --An ARCH and Neural Approach
    作者: 葉俊雄
    Yeh, Jiunn Shyong
    貢獻者: 毛維凌
    Mao, Wei Ling
    葉俊雄
    Yeh, Jiunn Shyong
    關鍵詞: 隨機漫步模式
    確定混沌體系
    類神經網路
    倒傳遞網路模式非線型時間序列模式
    自迴歸條件異質變異數模式
    Network
    Non-Linear Time Series
    ARCH
    Forecasting
    日期: 1993
    上傳時間: 2016-04-29 16:30:15 (UTC+8)
    摘要: 學界間廣泛地認為一般金融資產報酬具有的特性是:線型不可預測性,條件
    參考文獻: [1J 毛維凌[民80],“從方法論看非線型動態經濟模型",政治大學經濟所演
    講稿。
    [2] 何祖平[民80],“多元自迴歸條件異質變異數模型一主要國際貨幣間關
    聯性之研究",政治大學國際貿易研究所碩士論文。
    [3] 吳柏林,劉文卿,陳奕光[民81 ],“隨機模式與混沌模式立預測穩健性探
    討"中國統計學報,第30 卷第2 期, 169-189 頁。
    [4] 莊委桐[民81],“非線型動態模型檢定與在總體經濟模型之應用"政治
    大學經濟研究所碩士論文。
    [5J 許怡隆[民78],“外匯市場風險性溢價之探討一異質條件變異數分析法
    之研究"政治大學國際貿易研究所碩士論文。
    [6] 葉怡成[民82],“顯神經網路模式應用與實作"儒林圖書公司。
    [7] 張淑玲[民80],“總體時間數列非恆定性之研究",政治大學國際貿易研
    究所碩士論文。


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    描述: 碩士
    國立政治大學
    經濟學系
    G796802
    資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002004218
    資料類型: thesis
    顯示於類別:[經濟學系] 學位論文

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