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    题名: 台灣股市的波動外溢效果之研究
    作者: 吳旻容
    Wu, Min Jung
    贡献者: 饒秀華
    Rau,Hsiu Hau
    吳旻容
    Wu, Min Jung
    关键词: 多變量
    GARCH模型
    波動性
    外溢效果
    不對稱性
    multivariate
    GARCH model
    volatility
    spillover effect
    asymmetry
    日期: 2007
    上传时间: 2009-09-18 14:14:27 (UTC+8)
    摘要: 本研究使用相關係數隨時間變動的雙變量GARCH(1,1)模型(time-varying correlation bivariate GARCH(1,1) model),討論台灣股票市場中,大公司與小公司之間的報酬、衝擊(shock)、波動(volatility)是否互為影響為主軸。其次,為了了解不同估計方法、相關係數的設定和解釋變數對結果造成的影響,亦設立了3種模型,作為本研究的比較模型。
    本研究發現大公司與小公司過去的報酬,存在雙向的報酬外溢效果。換句話說,大公司與小公司過去的報酬分別都對「本身報酬」有影響外,對「對方的報酬」也有影響。進一步發現到:大公司過去受到的衝擊和波動不僅對本身的條件變異數造成影響,也影響到小公司的條件變異數。但相反地,小公司過去受到的衝擊和波動,只對本身的條件變異數有影響,對大公司的條件變異數沒有影響,所以大、小公司間的衝擊外溢效果和波動外溢效果有不對稱的現象。
    從不同模型之比較也發現,在討論大公司與小公司的報酬及波動時,應重視兩者彼此相互影響的關係,在估計時使用多變量的方法,以捕捉彼此相依的條件共變異數及條件變異數之動態過程。除此之外,也應考量兩者的相關係數隨時間變動的特性,及過去的波動對描述對方條件變異數的重要性。

    關鍵字:多變量、GARCH模型、波動性、外溢效果、不對稱性
    參考文獻: [1] 王元章(1990),交易量、股價波動性及波動性外溢─台灣股市之實證研究,中華財務學會1999年會暨財務金融學術論文研討會,pp.995~1016
    [2] 王英明(2007),台股報酬波動與訊息到達之關係硏究,國立政治大學國際貿易硏究所,碩士論文
    [3] 郭俊宏(2004),多變量條件變異數模型之比較分析,國立台灣大學經濟學硏究所,碩士論文
    [4] Akaike(1973),Information theory and an extension of the maximum likelihood principle. In B.N. Petrov and F. Csaki(eds.),2nd International Symposium on Information Theory,pp.267~281
    [5] Akgiray(1989),Conditional heteroskedasticity in time series of stock returns: Evidence and forecasts,Journal of Business 62,pp.55~80
    [6] B.B.Mandelbrot (1963),The variation of certain speculative prices, The Journal of Business of the University of Chicago 36,pp.394~419
    [7] Bollerslev(1986),Generalize autoregressive conditional heteroskedasticity.,Journal of Econometrics 31,pp.307~327
    [8] Bollerslev, Engle, and Wooldridge(1988),A capital-asset pricing model with time-varying covariances,Journal of Political Economy 96,pp.116~131
    [9] Bollerslev(1990),Modelling the coherence in short-run nominal exchange rates: Multivariate generalized ARCH approach,Review of Economics and Statistics 72,pp.498~505
    [10] Chelley-Steeley and Steeley(1996),Volatility transmission in the UK equity market.,The European Journal of Finance 2,pp.145~160
    [11] Chou, R. F. (1988),Volatility persistence and stock valuations: Some empirical evidence using GARCH,Journal of Applied Econometrics 3,pp.279~294
    [12] Conrad, Gultekin, and Kaul(1991),Asymmetric predictable of conditional variances.,The Review of Financial Studies 4,pp.597~622
    [13] Engle(1982),Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflations.,Journal of Financial Economics 19,pp.987~1007
    [14] Engle and Kroner(1995),Multivariate simultaneous generalized ARCH, Econometric Theory 11,pp.122~150
    [15] Engle(2002),Dynamic conditional correlation: A simple class of multivariate GARCH models,Journal of Business and Economic Statistics 20,pp.339~350
    [16] French, Schwert, and Stambaugh(1987),Expected stock returns and volatility,Journal of Financial Economics 19,pp.3~29
    [17] Glosten, Jagamnnathan, and Runkle(1993),On the relation between the expected value and the volatility of the nominal excess return on stocks,Journal of Finance 48,pp.1779~1801
    [18] Hamao,Masulis,and Ng(1990),Correlation in price changes and volatility across international stock markets,The Review of Financial Studies,pp.281-307
    [19] King and Wadhwani (1990),Transmission of Volatility between Stock
    Markets.,Review of Financial Studies 3,pp.5~33
    [20] Lo and Mackinlay(1990),When are contrarian profits due to stock market over-reaction?,Review of Financial Studies 3,pp.175~205
    [21] Nelson(1991),Conditional heteroskedasticity in asset returns: A new approach, Econometrica 59,pp.347~370
    [22] Pyun, Lee, and Nam(2000),Volatility and information flows in emerging equity market: A case of the Korean stock exchange.,International Review of Financial Analysis 9,pp.405~420
    [23] Reyes(2001),Asymmetric volatility spillover in the Tokyo stock exchange.”,Journal of Economics and Finance 25,pp.206~213
    [24] Ross(1989),Information and volatility: The no-arbitrate martingale approach to timing and resolution irrelevancy.,Journal of Finance 44,pp.1~17
    [25] Schwert and Seguin(1990),Heteroskedasticity in stock returns,Journal of Finance 45,pp.1129~1156
    [26] Tse and Tsui(2002),A multivariate GARCH model with time-varying correlations,Journal of Business & Economic Statistics 10,pp.351~362
    描述: 碩士
    國立政治大學
    國際經營與貿易研究所
    95351021
    96
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0095351021
    数据类型: thesis
    显示于类别:[國際經營與貿易學系 ] 學位論文

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