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Index Tracking Modeling in Portfolio Optimization with Mixed Integer Linear Programming

机译:混合整数线性规划的投资组合优化中的指数跟踪建模

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Background: Index tracking is a portfolio management which aims to construct anoptimal portfolio to generate similar return with the market index return with onlyselecting few numbers of stocks from the market index. In index tracking, the investorsdo not have to purchase all the stocks exactly in the market index because thetransaction cost incurred is very high. Therefore, index tracking has been introduced toachieve similar return with the market index return without purchasing all the stocksthat make up the index using mathematical model. Objective: The objective of thispaper is to determine the performance of the optimal portfolio constructed withdifferent number of stocks selected from the benchmark market index using mixedinteger linear programming model in index tracking. The portfolio performance isdetermined in terms of tracking error. In this study, the data consists of 24 componentstocks in Malaysia market index which is FTSE Bursa Malaysia Kuala LumpurComposite Index from January 2010 until December 2012. Results: The result showsthat the tracking error for the optimal portfolios constructed with different percentage ofstocks selected from the index are closer to zero. This implies that the optimal portfolioconstructed using mixed integer linear programming model is able to track the marketindex effectively in Malaysia. Conclusion: The optimal portfolio constructed usingmixed integer linear programming model is able to generate similar return with themarket index return effectively without purchasing all the stocks that make up theindex. Therefore, the mixed integer linear programming model is suitable for theinvestors in Malaysia.
机译:背景:指数跟踪是一种投资组合管理,旨在构建最佳投资组合,以产生与市场指数收益相似的收益,而只从市场指数中选择少量股票。在指数追踪中,由于交易成本非常高,因此投资者不必完全按照市场指数购买所有股票。因此,引入了指数跟踪以实现与市场指数收益相似的收益,而无需使用数学模型购买组成该指数的所有股票。目的:本文的目的是使用混合整数线性规划模型进行指数追踪,确定从基准市场指数中选择不同股票构成的最优投资组合的绩效。投资组合的绩效取决于跟踪误差。在这项研究中,数据由2010年1月至2012年12月在马来西亚市场指数(即FTSE大马交易所吉隆坡综合指数)中的24个成分股组成。结果:结果显示,使用从该指数中选择不同百分比的股票构建的最优投资组合的跟踪误差接近零。这意味着使用混合整数线性规划模型构建的最优投资组合能够有效跟踪马来西亚的市场指数。结论:使用混合整数线性规划模型构建的最优投资组合能够有效地产生与市场指数收益相似的收益,而无需购买组成该指数的所有股票。因此,混合整数线性规划模型适合马来西亚的投资者。

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