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台灣股價指數期貨最適避險策略之研究

The Hedging Performance of Stock lndex Futures Markets

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摘要


本文利用兩大類策略來探討指數期貨的避險績效,一是使投資組合報酬變異數為最小的避險比率(MV)即是最適避險比率,此種策略又分為靜態避險和動態避險,靜態避險包含了OLS、NEAR-VAR及ECM所推導出來的避險比率;而動態避險則在這些模型中加入了GARCH(1,1)效果。另一則是只考慮了損失風險的部分,使投資組合報酬的損失風險為最小的避險比率即是最適避險比率;此包含了LPM及VaR理論。本文採用滾動(Rolling)的方法將這兩類的各種模型加以實證,比較在何種模型下避險績效較佳。本文的避險績效準則分成二種,第一種為計算避險後較避險前所減少的投資組合報酬變異數百分比;第二種為避險後較避險前增加的效用。本文之研究標的台灣加權股價指數現貨與期貨及小型台指期貨,資料期間為1998年7月21日至2001年9月30日的日資料。

關鍵字

期貨 避險 GARCH VaR LPM MV

並列摘要


In this paper we investigated two major hedging strategies. First, the achievement of minimum variances (MV) of portfolio is studied. Dynamic hedging and static hedging have separated that. Static models include OLS、 Near-VAR and ECM. Dynamic models are VAR and ECM both incorporated with bivariate GARCH process. Then, minimum downside risk of portfolio is studied, which involves the model of LPM and VaR. The data on spot and futures market used here is daily prices from Taiwan TX and MTX indexes. The sample period extends from July 21st 1998 to September 30st 2001.

並列關鍵字

Futures Hedge GARCH VaR LPM MV

參考文獻


Bollerslev, T.(1986).Generalized Autoregressive Conditional Heteroskedasticity.Journal of Econometrics.31,307-328.
Cecchetti, S. G.,Cumby, R. E.,S. Figlewski(1988).Estimation of the Optimal Futures Hedge.Review of Economics and Statistics.70(4),623-630.
Chen, S. S.,Lee, C. F.,K. Shrestha(2001).On a Mean-Generalized Semivariance Approach to Determining the Hedge Ratio.Journal of Futures Markets.21(6),581-598.
De Jing, A.,De Roon, F.,C. Veld(1997).Out-of-Sample Hedging Effectiveness of Currency Futures for Alternative Models and Hedging Strategies.Journal of Futures Markets.17,817-837.
Ederington, L. H.(1979).The Hedging Performance of the New Futures Markets.Journal of Finance.34(1),157-170.

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