A New Global Portfolio Weighting Strategy Based on Cointegration Methods

IF 0.6 Q4 BUSINESS, FINANCE Journal of Investing Pub Date : 2023-12-20 DOI:10.3905/joi.2023.1.299
Ying Zhang
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Abstract

The author applies cointegration methods to separate desirable segmented equity markets from redundant cointegrated ones. The cointegration framework is robust to the intertemporal correlation instability that plagues modern portfolio theory (MPT)–based portfolios and identifies segmented market portfolios that consistently outperform both MPT and cointegrated counterparts over the 1995–2014 test period, based on 23 developed countries. The author proposes a new allocation strategy that more heavily weights countries with smaller likelihood ratios and that captures the degree of market segmentation for each country. This cointegration-based portfolio has fewer risks and performs better, particularly in declining market conditions, when diversification is most needed. This article provides a novel global portfolio management framework for country selection and allocation.
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基于协整方法的新全球投资组合加权策略
作者运用协整方法将理想的分割股票市场与多余的协整市场区分开来。协整框架对困扰基于现代投资组合理论(MPT)的投资组合的时际相关性不稳定性具有稳健性,并以 23 个发达国家为基础,确定了在 1995-2014 年测试期间表现始终优于 MPT 和协整投资组合的细分市场投资组合。作者提出了一种新的分配策略,该策略更重视似然比较小的国家,并能捕捉每个国家的市场细分程度。这种基于协整的投资组合风险更小,表现更好,尤其是在最需要分散投资的衰退市场条件下。本文为国家选择和分配提供了一个新颖的全球投资组合管理框架。
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来源期刊
Journal of Investing
Journal of Investing BUSINESS, FINANCE-
CiteScore
1.10
自引率
16.70%
发文量
42
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