将稳健的最大分散投资组合应用于小型经济体的股票市场:斐济南太平洋证券交易所的应用

Q4 Business, Management and Accounting Journal of Risk and Financial Management Pub Date : 2024-09-02 DOI:10.3390/jrfm17090388
Ronald Ravinesh Kumar, Hossein Ghanbari, Peter Josef Stauvermann
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引用次数: 0

摘要

在本研究中,我们将一种新颖的投资组合多样化方法--稳健最大多样化(RMD)--应用于一个小型发展中经济体的股票市场。利用斐济南太平洋证券交易所(SPX)上市的 18/19 只股票从 2019 年 8 月到 2024 年 5 月的月度回报数据,我们构建了 RMD 投资组合,并在附加约束条件下进行了模拟。为实现 RMD 投资组合,我们用一个包含未解释变异的矩阵取代协方差矩阵。RMD 程序分散的是权重,而不是风险,因此我们需要在两种资产(股票)之间进行配对回归,并提取 R 平方来创建 P 矩阵。我们利用市场加权价格指数计算每种资产的贝塔系数,并利用 CAPM 计算市场调整收益。接下来,我们与其他基准投资组合(1/N、最小方差、市场投资组合、半方差、最大偏度和最分散投资组合)一起,对照无风险(RF)利率检验预期收益。从模拟结果来看,在预期收益率方面,我们注意到有八个投资组合的表现达到了无风险利率。具体来说,对于 4%至 5%之间的回报率,我们发现最大回报率(RMD)为正,而最小回报率(RMD)为负。尽管后者的标准差和下行波动率略低,且包含 94% 的股票,但具有正夏普(Sharpe)和索蒂诺(Sortino)(作为约束条件)的最大 RMD 投资组合与最分散投资组合的回报率相当。收益率介于 5%和 RF 率之间的投资组合是最小方差、半方差和最大方差。后者与 RF 率相吻合,与其他两种组合相比,包含最多(94%)的股票。如果投资者的目标是分散投资,具有一定的风险承受能力,并偏好不超过 RF 利率的回报,则可以考虑最大 RMD(正夏普)。RMD,夏普为正值。不过,根据风险偏好程度,也可以考虑最小方差或半方差投资组合,后者的下行波动性较低。有两种投资组合的回报率高于 RF 率--市场投资组合(最大夏普)和最大 Sortino。虽然后者的回报率最高,但该组合的分散化程度最低,标准差和下行波动率最大。为实现多样化和高于 RF 利率的回报,应考虑市场组合。
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Application of a Robust Maximum Diversified Portfolio to a Small Economy’s Stock Market: An Application to Fiji’s South Pacific Stock Exchange
In this study, we apply a novel approach of portfolio diversification—the robust maximum diversified (RMD)—to a small and developing economy’s stock market. Using monthly returns data from August 2019 to May 2024 of 18/19 stocks listed on Fiji’s South Pacific Stock Exchange (SPX), we construct the RMD portfolio and simulate with additional constraints. To implement the RMD portfolio, we replace the covariance matrix with a matrix comprising unexplained variations. The RMD procedure diversifies weights, and not risks, hence we need to run a pairwise regression between two assets (stocks) and extract the R-square to create a P-matrix. We compute each asset’s beta using the market-weighted price index, and the CAPM to calculate market-adjusted returns. Next, together with other benchmark portfolios (1/N, minimum variance, market portfolio, semi-variance, maximum skewness, and the most diversified portfolio), we examine the expected returns against the risk-free (RF) rate. From the simulations, in terms of expected return, we note that eight portfolios perform up to the RF rate. Specifically, for returns between 4 and 5%, we find that max. RMD with positive Sharpe and Sortino (as constraints) and the most diversified portfolio offer comparable returns, although the latter has slightly lower standard deviation and downside volatility and contains 94% of all the stocks. Portfolios with returns between 5% and the RF rate are the minimum-variance, the semi-variance, and the max. RMD with positive Sharpe; the latter coincides with the RF rate and contains the most (94%) stocks compared to the other two. An investor with a diversification objective, some risk tolerance and return preference up to the RF rate can consider the max. RMD with positive Sharpe. However, depending on the level of risk-averseness, the minimum-variance or the semi-variance portfolio can be considered, with the latter having lower downside volatility. Two portfolios offer returns above the RF rate—the market portfolio (max. Sharpe) and the maximum Sortino. Although the latter has the highest return, this portfolio is the least diversified and has the largest standard deviation and downside volatility. To achieve diversification and returns above the RF rate, the market portfolio should be considered.
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CiteScore
4.50
自引率
0.00%
发文量
512
审稿时长
11 weeks
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