Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/116015
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dc.contributor.advisor廖四郎zh_TW
dc.contributor.advisorLiao, Szu-Langen_US
dc.contributor.author蔡景璿zh_TW
dc.contributor.authorTsai, Ching-Hsuanen_US
dc.creator蔡景璿zh_TW
dc.creatorTsai, Ching-Hsuanen_US
dc.date2017en_US
dc.date.accessioned2018-03-02T03:40:20Z-
dc.date.available2018-03-02T03:40:20Z-
dc.date.issued2018-03-02T03:40:20Z-
dc.identifierG0104352037en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/116015-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description金融學系zh_TW
dc.description104352037zh_TW
dc.description.abstract配對交易策略為一被廣為使用的交易策略,其特性為使用數個關聯性高的資產同時建立多空部位,藉此消除大部分的市場風險,賺取與市場趨勢無關聯性的報酬;本研究欲探討共整合法配對交易策略應用於兩類標的資產上之可行性及其功效:台灣證券交易所掛牌的6檔陸股ETF、以及COMEX黃金期貨與CME日幣期貨之組合。本研究使用之配對交易策略應用於6檔陸股ETF大部分參數設定下可獲得正報酬,獲利性卻不如預期,且共整合性質較佳之配對無法保證其交易績效亦較佳;COMEX黃金期貨及CME日幣期貨雖相對共整合性質不佳,仍以原策略測試可獲得較優秀的績效,此結果顯示共整合法配對交易策略於兩類資產上可行性皆不高,而配對交易策略於黃金、日幣組合上可能仍有其功效,尚須以不同方法進行驗證。zh_TW
dc.description.abstractPairs trading strategy is one kind of market neutral strategy which take both long and short positions in two or more highly correlated assets. By doing this pairs trading strategy can eliminate market risk and make profits which are not correlated with market trends. This paper aims to figure out if pairs trading strategy work well on China ETFs listed in TWSE and the COMEX gold-CME yen future pair. We use the cointegration approach to test and simulate trading performance on the securities mentioned. The result shows that pairs trading strategy profit on China ETFs under most of the parameters, but the returns are insufficient. Furthermore, good cointegration property in the input periods can’t guarantee better performances in the outputs periods. For COMEX gold future and CME yen future, cointegration property in the input periods are worse than China ETFs, but using the same strategy we find a more profitable outcome. The empirical result indicate that pairs trading strategy might still work on gold and yen, but the cointegration approach is not suitable for these two groups of assets.en_US
dc.description.tableofcontents第一章 緒論(p. 1)\n 第一節 研究背景(p. 1)\n 第二節 研究動機(p. 6)\n 第三節 研究架構(p. 7)\n第二章 文獻探討(p. 8)\n第三章 研究方法(p. 13)\n 第一節 單根檢定(p. 13)\n 第二節 共整合檢定(p. 16)\n 第三節 交易策略(p. 18)\n第四章 研究資料與結果分析(p. 22)\n 第一節 研究對象與時間(p. 22)\n 第二節 陸股ETF實證結果(p. 28)\n 第三節 黃金、日幣實證結果(p. 35)\n第五章 結論與建議(p. 46)\n參考文獻(p. 49)\n附錄(p. 52)zh_TW
dc.format.extent2738364 bytes-
dc.format.mimetypeapplication/pdf-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0104352037en_US
dc.subject配對交易zh_TW
dc.subject共整合zh_TW
dc.subject單根檢定zh_TW
dc.subject陸股ETFzh_TW
dc.subjectCOMEX黃金zh_TW
dc.subjectCME日幣zh_TW
dc.subjectPairs tradingen_US
dc.subjectCointegrationen_US
dc.subjectUnit-root testen_US
dc.subjectChina ETFen_US
dc.subjectCOMEX golden_US
dc.subjectCME yenen_US
dc.title配對交易策略於陸股ETF及黃金、日幣期貨之應用zh_TW
dc.titlePairs Trading Strategy on China ETFs and Gold, Japanese Yen Futuresen_US
dc.typethesisen_US
dc.relation.reference中文部分:\n1.李忠和(2006)。”相對價值套利法則-台灣股市之配對交易績效分\n 析”。逢甲大學,經濟學所碩士論文。\n2.李梓萱(2010)。”配對交易是否仍然有其功效—以台灣股票市場為\n 例”。逢甲大學,財務金融學所碩士論文。\n3.沈宣佑(2014)。”三檔股票交易設計並與傳統配對交易之績效表現比\n 較”。國立交通大學,財務金融研究所碩士論文。\n4.梁育書(2009)。”以共整合為基礎的交易策略在台灣期貨市場之應\n 用”。朝陽科技大學,財務金融系碩士論文。\n5.陳岱佑(2012)。”台灣指數期貨與ETF價差交易之研究-以台股期貨、\n 電子期貨、金融期貨與台灣50ETF為例”。國立交通大學,財務金融研\n 究所碩士論文。\n6.陳偉婷(2012)。”建立配對交易之綜合指標”。東吳大學,財務工程與\n 精算數學系碩士論文。\n7.郭正芳(2013)。”新加坡新華富時中國A50指數期貨與香港安碩富時\n A50中國指數ETF套利研究”。銘傳大學,財務金融學系碩士論文。\n8.陳旭昇,(2013)。”時間序列分析-總體經濟與財務金融之應用”。台\n 灣:東華書局。\n9.梁芷綾(2014)。”共整合的期貨價差交易策略運用以黃金白銀期貨為\n 例”。明新科技大學,管理研究所碩士論文。\n10.黃敬雯(2011)。”臺灣指數期貨價差交易投資策略之研究-移動平均\n 法與共整合法之應用”。國立虎尾科技大學,經營管理研究所碩士論\n 文。\n11.蔡明祥(2013)。”台灣指數期貨短線價差交易策略-以共整合方\n 法”。國立臺北大學,國際財務金融學系碩士論文。\n12.劉思恩(2012)。”台指期貨與台灣50 ETF日內高頻資料套利實證研\n 究”。輔仁大學,金融與國際企業學系碩士論文。\n13.劉藝帆(2011)。”原油期貨之價差交易策略分析”。輔仁大學,經濟\n 學研究所碩士論文。\n14.藍慶芳(2012)。”運用配對交易於台灣股票期貨之實證研究”。朝陽\n 科技大學,財務金融系碩士論文。\n\n英文部分:\n1.Akaike, H., (1973). ”Information Theory and an \n Extension of a Maximum Likelihood Principle”, 2nd \n International Symposium on Information Theory, p267-\n 281.\n2.Dickey, D. A. and Fuller, W. A., (1979). “Distribution \n of the Estimators for Autoregressive Time Series with a \n Unit Root”, Journal of the American Statistial \n Association Vol.74, p427-431.\n3.Engle, R. F. and Granger, C. W. J., (1987). \n “Cointegration and Error Correction : Representation, \n Estimation and Testing”, Econometrica Vol.55, p251-276.\n4.Gideon E., Schwarz, (1978). "Estimating the dimension \n of a model", Annals of Statistics Vol.6, p461–464,\n5.Gatev, E., Goetzmann, W. N. and Rouwenhorst, K. G., \n (2008).” Pairs Trading : Performance of a Relative \n Value Arbitrage Rule”, Yale ICF Working Paper No. 0803.\n6.Johansen, S., (1991)."Estimation and Hypothesis Testing \n of Cointegration Vectors in Gaussian Vector \n Autoregressive Models", Econometrica Vol.59, p1551–\n 1580.\n7.Phillips, P. C. B. and Perron, P., (1988). "Testing for \n a Unit Root in Time Series Regression", Biometrika \n Vol.75, p335–346. \n8.Said,S.E. and Dickey,D.A., (1984)."Testing for Unit \n Roots in Autoregressive-Moving Average Models of \n Unknown Order", Biometrika Vol.71, p599–607. \n9.Vidyamurthy,G., (2004). Pairs Trading-Quantitative \n Methods and Analysis, U.S.:John Wiley & Sons,Inc.\n10.Wu-chang,Luo, (2002).” Spread Arbitrage Between Stock \n Index Futures in Taiwan : A Cointegration Approach”, \n University of Southampton, UK.\n11.Wahab,M. and Lashgarri,M., (1993).”Price Dynamics and \n Error Correction in Stock Index and Stock Index Futures \n Markets : A Cointegration Approach”, The Journal of \n Futures Market Vol.13, p711-742.zh_TW
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