Portfolio optimization with tri-objective for index fund management

IF 0.3 Q4 BUSINESS, FINANCE
Yao-Tsung Chen, Y. Sheng
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引用次数: 0

Abstract

Using an index fund is a popular strategy that is designed to simulate the behavior of a market index and obtain the excess return that is more stable than other mutual funds. In setting up an index fund, investors must first choose a small number of stocks and then assign a weight to each selected stock. However, with traditional methods, investors hardly determine how well the designed index fund can mimic the market index. The main objective of this paper is to demonstrate the improvement of index fund performance by using a multi-objective optimization algorithm that can assign weights automatically.
指数基金管理的三目标投资组合优化
使用指数基金是一种流行的策略,旨在模拟市场指数的行为,并获得比其他共同基金更稳定的超额回报。在设立指数基金时,投资者必须首先选择少数股票,然后为每只被选中的股票分配一个权重。然而,使用传统方法,投资者很难确定设计的指数基金能在多大程度上模仿市场指数。本文的主要目的是通过使用一种可以自动分配权重的多目标优化算法来证明指数基金绩效的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Algorithmic Finance
Algorithmic Finance BUSINESS, FINANCE-
CiteScore
0.40
自引率
0.00%
发文量
6
期刊介绍: Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as: High frequency and algorithmic trading Statistical arbitrage strategies Momentum and other algorithmic portfolio management Machine learning and computational financial intelligence Agent-based finance Complexity and market efficiency Algorithmic analysis of derivatives valuation Behavioral finance and investor heuristics and algorithms Applications of quantum computation to finance News analytics and automated textual analysis.
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