請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66033完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林建甫 | |
| dc.contributor.author | Szu-Hua Chen | en |
| dc.contributor.author | 陳思樺 | zh_TW |
| dc.date.accessioned | 2021-06-17T00:19:37Z | - |
| dc.date.available | 2017-07-03 | |
| dc.date.copyright | 2012-07-03 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-06-25 | |
| dc.identifier.citation | 吳雅惠(2009) , 「石油、黃金與美元指數期貨波動外溢效果之探討」, 碩士論文, 南華大學, 嘉義縣。
吳福財(2003) , 「國軍外匯風險管理 外匯期貨及遠期外匯契約交叉避險策略分 析」, 碩士論文, 國防管理學院, 桃園縣。 李亦屏(2005) , 「黃金期貨之避險分析」, 碩士論文, 中原大學, 桃園縣。 周志賢(1996) , 「黃金與白銀的平價及價差交易: 共整合與分數共整合分析」, 碩士論文, 國立中興大學, 台中市。 周姿吟(2003) , 「外匯期貨對亞洲匯市之動態避險分析」, 碩士論文, 逢甲大學, 台中市。 周建新、于鴻福、胡德榮(2005) , 「單一期貨與多重期貨避險績效之比較 以國內共同基金為例」, 國立空中大學管理與資訊學系管理與資訊學報, 10期, 21-49。 邱美卿(2007) , 「DCC 模型族下外匯期貨避險績效之分析」, 碩士論文, 國立交通大學, 新竹市。 林群雅(1996) , 「台灣匯率風險規避策略之探討」, 碩士論文, 國立台灣大學, 台北市。 郭同境(1998) , 「最適避險操作策略: 台灣股價指數之實證研究」, 碩士論文, 淡江大學, 新北市。 康信鴻、陳雍仁(1999) , 「台灣黃金市場、外匯市場與總體變數相互關係之研究聯立方程式模型」, 臺大管理論叢, 第9卷第2期, 101-135。 張哲宇(1997) , 「股價指數期貨避險比率之研究」, 碩士論文, 國立台灣科技大學,台北市。 楊亦農(2011) , 「時間序列分析—經濟與財務上之應用」, 台北市: 雙葉書廊。 熊煥真(1999) , 「國軍外購案外匯風險管理之研究」, 碩士論文, 國防管理學院, 桃園縣。 盧惠盈(2002) , 「期貨避險比率及績效分析—以外匯期貨為例」, 碩士論文, 國立中正大學, 嘉義縣。 賴昌作(2000) , 「股價指數期貨之避險比率與避險效益」, 碩士論文, 國立台灣科技大學, 台北市。 魏志良(2002) , 「國際股價指數期貨與現貨直接避險策略之研究」, 碩士論文, 淡江大學, 新北市。 蘇雅芬(2004) , 「台灣商業本票及美國國庫券利率期貨之動態避險分析」, 碩士論文, 國立中正大學, 嘉義縣。 Anderson, R. W., & Danthine, J.-P. (1981), “Cross hedging,” Journal of Political Economy, 89(6), 1182-1196. Baillie, R. T., & Myers, R. J. (1991), “Bivariate garch estimation of the optimal commodity futures hedge,” Journal of Applied Econometrics, 6(2),109-124. Bollerslev, T. (1990), “Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model,” The Review of Economics and Statistics, 72(3), 498-505. Breeden, D. T. (1994), “Complexities of hedging mortgages,” Journal of Fixed Income, 4(3), 6-41. Brooks, C., Davies, R. J., & Kim, S. S. (2005), “Cross hedging with single stock futures,” Henley Business School, Reading University. Capie, F., Mills, T. C., & Wood, G. (2005), “Gold as a hedge against the dollar,”Journal of International Financial Markets, Institutions and Money,15(4), 343-352. Dooley, M. P., Isard, P., & Taylor, M. P. (1995), “Exchange rates, country-specific shocks, and gold,” Applied Financial Economics, 5(3), 121-129. Ederington, L. H. (1979), “The hedging performance of the new futures markets,”The Journal of Finance, 34(1), 157-170. Engle, R. (2002), “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models,” Journal of Business and Economic Statistics, 20(3), 339-350. Faugere, C., & Erlach, J. V. (2004), “The price of gold: A global required yield theory,” EconWPA. Ghosh, A. (1993), “Cointegration and error correction models: Intertemporal causality between index and futures prices,” Journal of Futures Markets,13(2), 193-198. Goodman, L. S., & Ho, J. (1997), “Mortgage hedge ratios: Which one works best?” The Journal of Fixed Income, 7(3), 23-33. Graham, S. (2001), “The price of gold and stock price indices for the United States,” Paper presented at the World Gold Council January 2006, U.A.E. Hamao, Y., Masulis, R. W., & Ng, N. (1990), “Correlations in Price Changes and Volatility across International Stock Markets,” The Review of Financial Studies, 3(2), 281-307. Holmes, P. (1996), “Stock index futures hedging: Hedge ratio estimation,duration effects, expiration effects and hedge ratio stability,” Journal of Business Finance & Accounting, 23(1), 63-77. Hsu Ku, Y., Chen, H., & Chen, K. (2007), “On the application of the dynamic conditional correlation model in estimating optimal time-varying hedge ratios,” Applied Economics Letters, 14(7), 503-509. Kahl, K. H. (1983), “Determination of the recommended hedging ratio,” American Journal of Agricultural Economics, 65(3), 603-605. Kolluri, B. R. (1981), “Gold as a hedge against inflation: An empirical investigation,” Quarterly Review of Economics and Business, 21(4), 13-24. Koutmos, G. a. P., A. (2000), “Are multiple hedging instruments better than one?” The Journal of Portfolio Management, 26(2), 63-70. Kroner, K. F., & Sultan, J. (1993), “Time-varying distributions and dynamic hedging with foreign currency futures,” Journal of Financial and Quantitative Analysis, 28(4), 535-551. Lien, D., & Tse, Y. K. (1999), “Fractional cointegration and futures hedging,” Journal of Futures Markets, 19(4), 457-474. Lien, D., Tse, Y. K., & Tsui, A. K. C. (2002), “Evaluating the hedging performance of the constant-correlation GARCH model,” Applied Financial Economics, 12(11), 791-798. Lindahl, M. (1992), “Minimum variance hedge ratios for stock index futures:Duration and expiration effects,” Journal of Futures Markets, 12(1), 33-53. Miller, S. E. (1985), “Simple and multiple cross-hedging of millfeeds,” Journal of Futures Markets, 5(1), 21-28. Nikos, K. (2006), “Commodity prices and the influence of the US dollar,” Paper presented at the World Gold Council January 2006, U.A.E. Park, T. H., & Switzer, L. N. (1995), “Bivariate GARCH estimation of the optimal hedge ratios for stock index futures: A note,” Journal of Futures Markets, 15(1), 61-67. Sari, R., Hammoudeh, S., & Soytas, U. (2010), “Dynamics of oil price, precious metal prices, and exchange rate,” Energy Economics, 32(2), 351-362. Sjaastad, L. A., & Scacciavillani, F. (1996), “The price of gold and the exchange rate,” Journal of International Money and Finance, 15(6), 879-897. Tong. (1996), “An examination of dynamic hedging,” Journal of International Money and Finance, 15(1), 19-35. Tully, E., & Lucey, B. M. (2007), “A power GARCH examination of the gold market,” Research in International Business and Finance, 21(2), 316-325. Wilson,W.W. (1982), “Hedging effectiveness of U.S. wheat futures markets,” North Dakota State University, Department of Agribusiness and Applied Economics. Working, H. (1962), “New Concepts Concerning Futures Markets and Prices,” The American Economic Review, 52(3), 431-459. Yeh, S. C., & Gannon, G. L. (2000), “Comparing Trading Performance of the Constant and Dynamic Hedge Models: A Note,” Review of Quantitative Finance and Accounting, 14(2), 155-160. Yu, T., & Tse, Y. K. (2006), “An empirical examination of IPO underpricing in the Chinese A-share market,” China Economic Review, 17(4), 363-382. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66033 | - |
| dc.description.abstract | 過去有相當多文獻以外匯期貨來規避外匯價格風險, 但文獻上很少有人嘗試以
其他資產進行交叉避險的策略, 因此本文加入具有貨幣性質且能抵抗全球幣值波 動的黃金及其期貨, 並利用投資組合風險極小化概念, 來分析單一資產與多重資產 組合避險績效之優劣。本研究的樣本期間為 1999 年 1 月 5 日至 2012 年3 月30日, 以OLS 、單變量GARCH 與DCC-GARCH 模型為研究方法, 針對外匯市 場流通量較大的六種主要貨幣—澳幣(AUD) 、加幣(CAD) 、日圓(JPY) 、瑞士 法郎(CHF) 、歐元(EUR) 以及英鎊(GBP) 下的五種避險策略進行分析。實證 結果發現: (一) 純粹採用外匯期貨避險之績效優於僅採用黃金現貨、期貨之避險 策略; (二) 單一與多重避險策略之避險績效無顯著差異; (三) 大致而言, OLS 模型所求得之避險績效略優於GARCH 與DCC-GARCH 模型。 | zh_TW |
| dc.description.abstract | While several studies have indicated that currency futures contracts can effectively minimize foreign exchange risk, few studies have discussed cross-hedging strategies using other assets. Gold is known as its monetary property
and anti-cyclical nature. Therefore, we try to add gold and its futures into our currency exchange hedging strategies to see whether hedging effectiveness would be improved or not. We focus on the hedging strategies of six main foreign exchange markets: Australian dollar (AUD), Canadian dollar (CAD), Swiss franc (CHF), Euro (EUR), British pound (GBP), and Japanese yen (JPY). We compare the hedging effectiveness of five hedging strategies under three different empirical models: OLS, GARCH, and DCC-GARCH.Using daily data from 5 January 1999 to 30 March 2012, we find three main results: (1) Performance of hedging strategies using currency exchange futures is better than those using gold or its futures. (2) There’s no significant difference on hedging effectiveness between single-asset and multiple-asset portfolio hedging strategies. (3) The hedging effectiveness of OLS model is better than GARCH model and DCC-GARCH model on average. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T00:19:37Z (GMT). No. of bitstreams: 1 ntu-101-R99323044-1.pdf: 1445917 bytes, checksum: e24ea1359bac079fa78f9beaeab5802a (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | 口試委員會審定書
謝辭i 摘要ii Abstract iii 1 緒論1 1.1 研究背景與動機. . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 研究目的. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 本文架構. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.4 研究流程. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2 期貨與避險理論介紹6 2.1 期貨介紹. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.2 避險理論介紹. . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2.1 傳統避險理論. . . . . . . . . . . . . . . . . . . . . . . 8 2.2.2 選擇性避險理論. . . . . . . . . . . . . . . . . . . . . . 8 2.2.3 投資組合避險理論. . . . . . . . . . . . . . . . . . . . 9 3 國內外相關實證文獻回顧12 3.1 期貨避險. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2 黃金避險. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3.3 多重期貨以及交叉避險. . . . . . . . . . . . . . . . . . . . . . 19 4 實證方法21 4.1 單根檢定. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.2 自我相關異質變異檢定. . . . . . . . . . . . . . . . . . . . . . 22 4.2.1 Ljung-Box Q2 統計量. . . . . . . . . . . . . . . . . . . 23 4.2.2 ARCH-LM 檢定. . . . . . . . . . . . . . . . . . . . . . 24 4.3 實證避險模型. . . . . . . . . . . . . . . . . . . . . . . . . . . 24 4.3.1 最小平方法. . . . . . . . . . . . . . . . . . . . . . . . 25 4.3.2 GARCH . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4.3.3 DCC-GARCH . . . . . . . . . . . . . . . . . . . . . . . 26 4.4 避險績效之衡量. . . . . . . . . . . . . . . . . . . . . . . . . . 34 5 實證結果與分析35 5.1 資料來源與處理. . . . . . . . . . . . . . . . . . . . . . . . . . 35 5.2 敘述統計與基本分析. . . . . . . . . . . . . . . . . . . . . . . 35 5.3 單根檢定. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 5.4 最適避險比率與避險績效分析. . . . . . . . . . . . . . . . . . 40 6 結論46 參考文獻48 | |
| dc.language.iso | zh-TW | |
| dc.subject | 外匯避險 | zh_TW |
| dc.subject | 黃金 | zh_TW |
| dc.subject | 最適避險比率 | zh_TW |
| dc.subject | DCC-GARCH | zh_TW |
| dc.subject | 交叉避險 | zh_TW |
| dc.subject | cross hedging | en |
| dc.subject | currency exchange hedging | en |
| dc.subject | gold | en |
| dc.subject | optimal hedge ratio | en |
| dc.subject | DCC-GARCH | en |
| dc.title | 外匯市場最適避險策略之研究 | zh_TW |
| dc.title | An Analysis of Optimal Hedging Strategy for Currency Exchange Market | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 郭平欣,高櫻芬,林金龍,李沃牆 | |
| dc.subject.keyword | 外匯避險,黃金,最適避險比率,DCC-GARCH,交叉避險, | zh_TW |
| dc.subject.keyword | currency exchange hedging,gold,optimal hedge ratio,DCC-GARCH,cross hedging, | en |
| dc.relation.page | 52 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-06-26 | |
| dc.contributor.author-college | 社會科學院 | zh_TW |
| dc.contributor.author-dept | 經濟學研究所 | zh_TW |
| 顯示於系所單位: | 經濟學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-101-1.pdf 未授權公開取用 | 1.41 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
