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價格跳躍下的最適避險策略-日經225指數現貸與期貨

Optimal Hedging Strategy under Price Jump Nikkei 225 Index and Nikkei 225 Index Futures

摘要


本文以日本股價指數爲主要之研究對象,利用大阪日經225指數期貨與新加坡日經225指數期貨,探討在空頭避險下,應用ARJI模型與GARCH模型進行避險之績效。由於價格在短期間存在跳躍(Jump)的現象,因此本文利用ARJI模型捕捉此不連續的行爲,進而與GARCH比較在不同避險期間下,利用移動視窗(rolling window)的方法探討樣本外(out of sample)避險的避險績效。實證結果爲當避險期間爲5天、10天與20天時,以ARJI模型進行避險的績效較GARCH模型優良;若當避險期間拉長爲40天與60天時,則以GARCH模型的避險績效較佳。另外,無論以ARJI模型或是GARCH模型,採用新加坡日經225指數期貨爲避險工具之避險績效恆優於以大阪日經225指數期貨爲工具之避險績效。

關鍵字

ARJI GARCH 移動視窗 樣本外避險

並列摘要


This paper investigates the optimal hedge strategies between Nikkei225 index futures market and the underlying cash market using ARJI model and GARCH model. 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. At the same time, due to the behavior of price jump, we utilize ARJI model to capture price jump behavior in order to enhance the hedging performance in short hedging horizon and compare different hedging horizons with GARCH model. The empirical results show that ARJI acquires better hedging performance than GARCH model when the hedging horizon is 5 days l0 days and 20 days and the result is inverse when the hedging horizon is 4odays and 60 days. Additionally, whether employing ARJI model or GARCH model, the SGX markets have superior hedging performance than OSE markets.

並列關鍵字

ARJI GARCH rolling window out of sample hedging

參考文獻


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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。證券暨期貨管理。16,1-23。
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被引用紀錄


陶怡珍(2012)。動態價格跳躍與最小變異數避險組合的避險效益-以布蘭特原油與期貨價格為例〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2012.00657
高如潔(2010)。波動率指數與股市之共同跳躍關係〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.01349
王怡文(2007)。西德州與布蘭特原油避險策略〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2007.00962
林煜城(2008)。S&P500指數期現貨與NASDAQ指數期貨之關聯性及波動外溢與跳躍現象之探討- GARCH-Jump模型建立及避險比率與績效評估〔碩士論文,國立臺北大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0023-0307200810055400

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