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題名:日經225指數期貨之避險績效與最適避險策略之探討
書刊名:輔仁管理評論
作者:沈育展洪瑞成 引用關係邱建良 引用關係李命志
作者(外文):Shen, Yu-janHung, Jui-chengChiu, Chien-liangLee, Ming-chih
出版日期:2004
卷期:11:1
頁次:頁153-179
主題關鍵詞:避險績效日經225指數期貨GARCH模型ECM模型VAR模型Hedging performanceNikkei 225 index futuresGARCHECMVAR
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(1) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:8
  • 點閱點閱:21
本文以日本股價指數為主要之研究對象,利用大阪日經225指數期貨與新加坡日經225指數期貨分別探討在空頭避險下應用常見計量模型之避險績效,並利用移動視窗(moving window)之方法分析在不同之模型中避險期間長短對於避險績效之影響,以得到最適之避險策略。實證結果發現,計量模型中以雙雙量GARCH模型之避險績效較其他模型(VAR和ECM)優越,且不論是以大阪日經225指數期貨或是以新加坡日經225指數期貨作為避險工具,皆發現隨著避險期間的增長,避險績效也隨之增加,避險績效與避險期間呈正向關係。最後實證結果也發現在不同之計畫模型與不同之避險期下,以新加坡日225股價指數期貨作為避險工具之避險績效顯著於以大阪日經225指數期貨作為避險工具之避險績效。因此本研究在面對日本股價指數波動時最適之避險策略為利用新加坡日經225指數期貨配合雙雙量GARCH模型,做長天期之避險可獲得較佳之避險績效。
This paper investigates the optimal hedge strategies between Nikkei225 index futures market and the underlying cash market using various models. We analyze that either hedge portfolios of OSE Nikkei225 index futures or SGX Nikkei225 index futures have better hedge performance to refrain from the loss of trading on the underlying spot market. The empirical results show the GARCH(1,1) model is superior to other model, such as ECM and VAR model. The hedging period exists positive relationship to the hedging performance either in OSE or SGX Nikkei225 index futures markets, longer the period, better the performance. Additionally, the SGX markets have superior hedging performance than OSE markets. Therefore, we suggest that traders should take the long-term hedge positions in SGX Nikkei225 futures markets when they face the volatility on the Nikkei225 spot markets.
期刊論文
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3.Benet, B. A.(1992)。Hedging period length and ex-ante futures hedging effectiveness: The case of foreign exchange risk cross hedges。Journal of Futures Markets,12,163-175。  new window
4.Baillie, R. T.、Myers, R. J.(1991)。Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge。Journal of Applied Econometrics,6(2),109-124。  new window
5.Lindahl, M.(1992)。Minimum Variance Hedge Ratios for Stock Index Futures: Duration and Expiration Effects。The Journal of Futures Markets,12(1),33-53。  new window
6.Working, Holbrook(1953)。Futures trading and hedging。American Economic Review,43(3),314-343。  new window
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10.Ghosh, Asim(1993)。Hedging with Stock Index Futures: Estimation and Forecasting with Error Correction Model。Journal of Futures Markets,13(7),743-752。  new window
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12.Granger, C. W. J.(1981)。Some Properties of Time Series Data and Their Use in Econometric Model Specification。Journal of Econometrics,16(1),121-130。  new window
13.Markowitz, Harry M.(1952)。Portfolio Selection。The Journal of Finance,7(1),77-91。  new window
14.Dickey, David A.、Fuller, Wayne A.(1981)。Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root。Econometrica: journal of the Econometric Society,49(4),1057-1072。  new window
15.Sims, Christopher A.(1980)。Macroeconomics and Reality。Econometrica: Journal of the Econometric Society,48(1),1-48。  new window
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17.余尚武、賴昌作(20010100)。股價指數期貨之避險比率與避險效益。管理研究學報,1(1),1-31。new window  延伸查詢new window
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學位論文
1.叢宏文(1996)。日經股價指數期貨避險效果之實證研究:GARCH模型之應用(碩士論文)。國立政治大學。  延伸查詢new window
2.江文強(1997)。股價指數期貨避險效果之研究(碩士論文)。國立交通大學。  延伸查詢new window
3.林義祥(1998)。基金避險與台股指數期貨--比較各計量模型之避險績效(碩士論文)。淡江大學。  延伸查詢new window
 
 
 
 
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