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  • 學位論文

不同觀察頻率下之外匯波動性估計

Observation Frequency of Volatility Estimation in Foreign Exchange

指導教授 : 洪茂蔚
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摘要


本研究之主要目的係探討在不同波動模型下,樣本頻率對於外匯波動性估計的影響。同時採用了GARCH、EGARCH以及TGARCH模型進行比較,除了檢驗樣本配適度檢定以外,並會進行樣本外預測績效。希冀透過多元的波動模型檢驗,找出適合捕捉外匯波動性的樣本頻率特性。 實證結果顯示,觀察頻率越高越能捕捉外匯的波動性。且不同模型的比較,可以發現EGARCH以及TGARCH的模型配適度普遍比GARCH佳。

關鍵字

外匯 波動

並列摘要


The main purpose of the thesis is comparing the results of volatility estimation under different models and observation frequencies. These models include GARCH, EGARCH and TGARCH models. Both testing for the goodness-of-fit and sample forecasting will be conducting in the thesis. Empirical results show that higher observation frequency stands for higher goodness-of-fit when estimating in foreign exchange volatility. Another implication from the research is that both EGARCH and TGARCH model generally position higher goodness-of-fit than GARCH model.

並列關鍵字

Foreign exchange volatility

參考文獻


20. 蔡明翰,2009,「應用ARIMA與GARCH模式於台灣運輸產業股價之預測」,國立交通大學運輸與物流管理學系碩士論文
22. 邱建良、吳佩珊、邱哲修, 2004。「亞洲外匯市場行為之探討-不對稱門檻GARCH模型之應用」,台灣管理學刊。4卷第2期,187-202
18. 潘浙楠、席嘉澤、陳曉倩,2009,「自我相關殘差管制圖模型選取之研究」,品質學報。16卷第4期,273-282
1. Akaike H., 1974. “A New Look at the Statistical Model Identification,” IEEE Transactions on Automatic Control.19: 716-723.
2. Andersen, T. and T. Bollerslev., 1997. “Heterogeneous Information Arrivals and Return Volatility Dynamics:Uncovering the Long Run in High Frequency Returns,” Journal of Finance. 52: 975-1005.

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