应用交互式人工蜂群构建股票投资组合

Jui-Fang Chang, Tsai-Wei Yang, Pei-wei Tsai
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引用次数: 3

摘要

近年来,人们陆续提出了多种投资组合分析方法。投资者关心的是他们能赚多少钱,而公司需要知道他们获得了多少业绩。本文提出了一种基于投资满意能力指数(ISCI)和交互式人工蜂群(IABC)的股票投资组合构建策略。在实验中使用了两年的每日投资回报率(ROI)数据来测试我们提出的方法的性能。实验结果与台湾大盘及台湾元大证券台湾50强追踪基金的投资结果进行了比较。结果是积极的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying Interactive Artificial Bee Colony to Construct the Stock Portfolio
In recent years, lots of portfolio analysis methods been proposed one after another. The investors care about how much money they can earn, and the companies need to know how much performance they gain. In this paper, a new stock portfolio construction strategy using Investment Satisfied Capability Index (ISCI) and Interactive Artificial Bee Colony (IABC) is proposed. Two-year daily Return on Investment (ROI) data is used in the experiment to test the performance of our proposed method. The experimental results are compared with the investment result from Taiwan broader market and Taiwan Top 50 Tracker Fund of Taiwan Yuanta Securities. The results are positive.
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