A Study of Intermarket Spread Trading Strategies of TAIFEX and SIMEX Taiwan Stock Index Futures

碩士 === 國立臺灣大學 === 商學研究所 === 87 === This thesis studies the opportunity of spread trading and the magnitude of profit under different spread trading strategies, which are evaluated from the intraday transaction data of SIMEX and TAIFEX Taiwan index futures and based on the five-minutes intraday data....

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Bibliographic Details
Main Authors: Ming-Huang Huang, 黃銘煌
Other Authors: Tsun-Siou Li
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/80361064163794970805
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Summary:碩士 === 國立臺灣大學 === 商學研究所 === 87 === This thesis studies the opportunity of spread trading and the magnitude of profit under different spread trading strategies, which are evaluated from the intraday transaction data of SIMEX and TAIFEX Taiwan index futures and based on the five-minutes intraday data. According to the intermarket situation, this research shows the opportunity of the spread trading through the calculation of the interval in no-arbitrage. Besides, this study introduces the concept of two-variable binomial pricing process to judge the feasibility of spread trading strategy. The conclusions from introducing the data of future-market history are in the following: 1. In the research period, the opportunity of intermarket spread arbitrage indeed exists. However, even holding on maturity, you still could not warranty the minimum profits. Using more dynamic strategy, such as Early Unwindings and Rllovers, can reduce the risk of unconvergent situation. 2. Reduction of the uncertain risk happens only after the “backward spread trading strategy” is executed when SIMEX is on maturity primarily. Moreover, “forward spread trading strategy” also needs to be adopted when TAIFEX is on maturity primarily. When the improper spread trading direction is accepted, introducing the dynamic strategies could reduce the damage and also increase the profits. 3. In capital restrictions, using the two-variable binomial spread arbitrage decision model can provide the useful suggestions on operating strategy.