Futures Optimal Hedge Ratio and Transaction Cost

碩士 === 國立交通大學 === 經營管理研究所 === 107 === This paper uses three smoothing strategies, moving average (MA), exponential smoothing (EWMA), and Hodrick-Prescott Filter (HP-Filter), to curb the transaction cost while hedging with dynamic models, such as CCC and DCC-GARCH models. In order to look for the rel...

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Main Authors: Hung, Wei-Kai, 洪煒凱
Other Authors: Chou, Ray Yeutien
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/tg948v
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spelling ndltd-TW-107NCTU54570812019-11-26T05:16:52Z http://ndltd.ncl.edu.tw/handle/tg948v Futures Optimal Hedge Ratio and Transaction Cost 最適期貨避險比率與交易成本 Hung, Wei-Kai 洪煒凱 碩士 國立交通大學 經營管理研究所 107 This paper uses three smoothing strategies, moving average (MA), exponential smoothing (EWMA), and Hodrick-Prescott Filter (HP-Filter), to curb the transaction cost while hedging with dynamic models, such as CCC and DCC-GARCH models. In order to look for the relationship between the hedging performance and the transaction cost, the smoothing parameters in each strategy are given different values. The sample set is built by the weekly data of fourteen underlying assets and its corresponding futures across six investment classes. With the evaluation of the one-period-ahead out-of-sample hedging performance with and without smoothing during the sample period from July 3, 1998 to June 26, 2015, the result shows that the hedging performance became worse in most of the futures market, no matter which smoothing methodologies are used. In addition, according to the comparison within three strategies of different smoothing parameters, the smoother the smoothed dynamic hedge ratio series are, the more cost can be cut down. Moreover, different smoothing strategies also show different patterns between portfolio variance and transaction cost in the same futures markets, while the moving average and the HP-Filter show a negative correlation, and the exponential smoothing demonstrates a positive one in most futures commodities. Chou, Ray Yeutien 周雨田 2019 學位論文 ; thesis 58 en_US
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language en_US
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sources NDLTD
description 碩士 === 國立交通大學 === 經營管理研究所 === 107 === This paper uses three smoothing strategies, moving average (MA), exponential smoothing (EWMA), and Hodrick-Prescott Filter (HP-Filter), to curb the transaction cost while hedging with dynamic models, such as CCC and DCC-GARCH models. In order to look for the relationship between the hedging performance and the transaction cost, the smoothing parameters in each strategy are given different values. The sample set is built by the weekly data of fourteen underlying assets and its corresponding futures across six investment classes. With the evaluation of the one-period-ahead out-of-sample hedging performance with and without smoothing during the sample period from July 3, 1998 to June 26, 2015, the result shows that the hedging performance became worse in most of the futures market, no matter which smoothing methodologies are used. In addition, according to the comparison within three strategies of different smoothing parameters, the smoother the smoothed dynamic hedge ratio series are, the more cost can be cut down. Moreover, different smoothing strategies also show different patterns between portfolio variance and transaction cost in the same futures markets, while the moving average and the HP-Filter show a negative correlation, and the exponential smoothing demonstrates a positive one in most futures commodities.
author2 Chou, Ray Yeutien
author_facet Chou, Ray Yeutien
Hung, Wei-Kai
洪煒凱
author Hung, Wei-Kai
洪煒凱
spellingShingle Hung, Wei-Kai
洪煒凱
Futures Optimal Hedge Ratio and Transaction Cost
author_sort Hung, Wei-Kai
title Futures Optimal Hedge Ratio and Transaction Cost
title_short Futures Optimal Hedge Ratio and Transaction Cost
title_full Futures Optimal Hedge Ratio and Transaction Cost
title_fullStr Futures Optimal Hedge Ratio and Transaction Cost
title_full_unstemmed Futures Optimal Hedge Ratio and Transaction Cost
title_sort futures optimal hedge ratio and transaction cost
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/tg948v
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