Optimal portfolio allocations for global bank stocks in local surrencies and US dollars 1992 - 2001

R. Weston, Guy B. Ford
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引用次数: 2

Abstract

In this paper we examine the optimal composition of global portfolios of bank stocks, expressed in both local currencies and in US dollar terms, over the period January 1992 to June 2001. We estimate optimal global bank stock portfolios using two covariance optimisation algorithms – the Markowitz expected return/variance algorithm (MPT), and the Elton, Gruber and Padberg average correlation algorithm (EGP) – and compare the composition and performance of these portfolios with a portfolio comprising equally-weighted bank stocks. Our study also includes measures of skewness and kurtosis, and risk adjusted return measures based on variance, semivariance and portfolio betas. The purpose of our study is twofold. First, we wish to examine whether the covariance optimisation approaches produce significantly different portfolio allocations over the period of the study. Second, we wish to determine if the two significant events for the global banking sector in this period– the implementation of global risk-based capital adequacy standards in 1992 and the Asian banking crisis of 1997 – may have had any influence on the optimal allocation of global bank stocks in an investment portfolio. To achieve this we construct the optimal bank portfolios, using both optimisation algorithms, for the period 19921996 and 1997-2001. We include bank stock returns for 26 countries in the study. We find that the MPT and EGP optimisation algorithms do produce different portfolio allocations during both periods of the study. If return is measured against variance, the MPT algorithm produces the best performing portfolio. However if return is measured against semi-variance, the results are mixed. We also find that bank portfolios performed better on a risk-adjusted basis in the period leading up to the Asian crisis of 1997. Our most interesting finding is that if the highest risk bank stocks are removed from the portfolio, the terminal wealth of the portfolio falls by around half in each period. This suggests that higher-risk bank stocks are needed to achieve sufficient diversification to ‘protect’ the return for a global portfolio of bank stocks.
1992 - 2001年以本币和美元计算的全球银行股的最佳投资组合配置
在本文中,我们研究了1992年1月至2001年6月期间以本币和美元表示的全球银行股投资组合的最优构成。我们使用两种协方差优化算法——马科维茨预期收益/方差算法(MPT)和埃尔顿、格鲁伯和帕德伯格平均相关算法(EGP)——估计最优的全球银行股投资组合,并将这些投资组合的构成和表现与由等权重银行股组成的投资组合进行比较。我们的研究还包括偏度和峰度的度量,以及基于方差、半方差和投资组合贝塔的风险调整收益度量。我们研究的目的是双重的。首先,我们希望检查协方差优化方法是否在研究期间产生显着不同的投资组合配置。其次,我们希望确定这一时期全球银行业的两个重大事件——1992年全球基于风险的资本充足率标准的实施和1997年亚洲银行业危机——是否可能对投资组合中全球银行股的最佳配置产生任何影响。为了实现这一目标,我们使用两种优化算法,构建了1992 - 1996年和1997-2001年期间的最优银行投资组合。我们在研究中纳入了26个国家的银行股收益。我们发现MPT和EGP优化算法在研究的两个时期确实产生了不同的投资组合配置。如果回报是根据方差来衡量的,MPT算法会产生表现最好的投资组合。然而,如果用半方差来衡量回报,结果是混杂的。我们还发现,在1997年亚洲金融危机爆发前的一段时间里,经风险调整后的银行投资组合表现更好。我们最有趣的发现是,如果从投资组合中剔除风险最高的银行股,投资组合的终端财富在每个时期都会下降约一半。这表明,要实现足够的多样化,以“保护”全球银行股投资组合的回报,就需要高风险的银行股。
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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