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    題名: 多變量動態因子隨機波動模型-美,日,台股市報酬率之研究
    作者: 邱顯一
    貢獻者: 鍾經樊
    邱顯一
    關鍵詞: 多變量隨機波動模型
    蒙地卡羅馬可夫鏈
    因子分析
    Multivariate Stochastic Volatility
    Markov Chain Monte Carlo
    Factor Analysis
    日期: 2006
    上傳時間: 2009-09-18 16:06:28 (UTC+8)
    摘要: 本文採用 Chib, Nardari, 與 Shephard(2006) 的多變量動態因子隨機波動模型(MSV), 來探討美、日、台三國的資訊、電腦類股股價報酬率波動的共同行為。 我們將模型中的因子解釋為產業的前景或信心,並藉由模擬的方式描繪出其樣貌,進而希望了解產業景氣循環在股價的波動行為中扮演什麼角色。 研究財務市場間的關聯性一值是一項重要的課題,也發展出各種的模型來描述既有的現象。 MSV 模型將看不到的解釋變量數量化,並將變數的波動行為切割為可由因子所解釋與不能解釋的部分。 且藉由將觀察值的誤差項以及單一因子的波動行為設定為隨機波動,放寬共變數變異數矩陣為定值的假設,讓每一時點都能依時變動,在同類的模型中對資料的設定是較少的。 在實證分析中我們有幾點發現:1. 因子能夠解釋資產間的波動行為,其反映在扣除因子波動之後的自有波動,其波動水準值的降低。 2. 在股價波動劇烈期間,因子解釋能力提高。 3. 因子的解釋能力在不同的國家中差異幅度很大,日本有超過一半的波動可以為因子的波動所解釋,而因子在台灣股價的波動行為只有兩成左右的解釋能力。
    參考文獻: Aguilar, West (2000) "Bayesian dynamic factor models and portfolio allocation." Journal of Business and Economic Statistic.
    Bauwens, Laurent, Rombouts (2004) "Multivariate garch: A survey." Journal of Applied Econometrics.
    Chib, Greenberg (1995) "Understanding the metropolis-hastings algorithm." The American Statistican.
    Chib, Nardari, Shephard (2002) "Markov chain monte carlo methods for stochastic volatility models." Journal of Econometrics.
    ---(2006) "Analysis of high dimensional multivariate stochastic volatility models." Journal of Econometrics.
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    ---(2004) "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors." Journal of Econometrics.
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    Koopman, Sandmann (1998) "Estimation of stochastic volatility models via monte carlo maximum likelihood." Journal of Econometrics.
    Liesenfeld, Richard (2003) "Univariate and multivariate stochastic volatility models: Estimation and diagonotics." Journal of Empirical Finance.
    Lin, Engle, Ito (1994) "International transimission of stock returns and volatility." The Reviews of Financial Studies.
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    描述: 碩士
    國立政治大學
    經濟研究所
    93258016
    95
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0932580162
    資料類型: thesis
    顯示於類別:[經濟學系] 學位論文

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