應用馬可夫鏈進行台股現貨與期貨間交易策略; The Analysis of Optimal Trading Strategy for Taiwan Stock and Futures Markets with a Markov Chain Approach

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題名:	應用馬可夫鏈進行台股現貨與期貨間交易策略;The Analysis of Optimal Trading Strategy for Taiwan Stock and Futures Markets with a Markov Chain Approach
作者:	詹松盛;Song-Sheng Chan
貢獻者:	財務金融學系碩士在職專班
關鍵詞:	馬可夫鏈;交易策略;現貨與期貨;Stock and Futures Markets;trading strategy;Markov chain
日期:	2005-05-30
上傳時間:	2009-09-22 14:45:33 (UTC+8)
出版者:	國立中央大學圖書館
摘要:	衍生性金融商品日益蓬勃發展，隨著法令的逐步開放以及國外避險基金的相關商品不斷引進國內金融市場，國內法人不僅運用期貨與選擇權進行避險操作，更期待透過現貨與期貨商品的組合，達到風險極小化獲利極大化的目標；另一方面，國內法人在不得放空的限制下，在股票市場盤整期間或是空頭市場期間便無法發揮所長，藉由股票的單一方向性交易賺取利潤，因此，如何透過現貨與期貨的組合以及期貨部位的動態調整解決上述問題進而開發新的金融商品便成為國內法人努力思考的方向。　　為了提供一可用、穩定的模型，本研究應用馬可夫鏈進行台股現貨與期貨交易策略，在現貨組合的建構上採用Mean-Varian Theory，以Matlab程式建構放空限制下的最適投資組合，成分股的選取為台灣五十成份股權重前三十名之個股，期貨部位之決定則先以最小風險避險比例法（Minimum Variance Hedge Ratio）求得最適避險比例，再應用馬可夫鏈轉換矩陣達到動態調整期貨部位的目的，組成台股現貨與期貨間交易策略，其中馬可夫鏈轉換矩陣乃以現貨組合日漲跌幅與期貨指數日漲跌幅的差作為狀態變數。相關文獻以及研究方法詳見第二章及第三章，第四章以Matlab程式進行實證研究，第五章是結論與建議。 As the derivatives bloom in global financial market, the government gradually loosens regulations and relevant foreign hedge fund products are introduced to Taiwan financial market, domestic institutional investors not only use futures and options to hedge, but also minimize the risks and maximize the profits through the combination of stock trading and futures trading. On the other hand, domestic institutional investors are not allowed to do short trading so they are hard to make profits through stock trading in non-bull market. Thus, how to trade through combining stocks and futures, and dynamically adjusting hedge ratio, and then developing new financial products is the first topic for domestic institutional investors. To provide an useful and stable model, this study applies Markov chain approach to develop a strategy of trading Taiwan stocks and futures. This strategy is to use Mean-Varian Theory in stock trading and to use Matlab program to find the optimal portfolio under the restriction of short trading. The stocks of this portfolio are from the most thirtieth weight components of Taiwan 50. The volume of futures of this portfolio is first decided by the Minimum Variance Hedge Ratio to find the optimal hedge ratio and then applies Markov chain transition matrix to adjust the future position dynamically. Markov chain transition matrix is the variables of the differences between the combined return of these stocks and the return of the future on the day that this portfolio is set up. Relevant studies and methodologies are referred to the second section and the third section; the fourth section is the test of using Matlab program; the fifth section is the conclusion and suggestion.
顯示於類別:	[財務金融學系碩士在職專班] 博碩士論文

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