南非背景下风险回报权衡的可行性

Natasha Robbetze, M. Swanepoel
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引用次数: 0

摘要

研究目的:本研究旨在确定系统风险和回报是否相互关联。它回答了研究问题:当投资者的投资与更高的风险相关时,他们期望高回报是否现实?设计/方法/方法:通过相关研究设计应用定量分析。二级数据来自综合实时股权系统(IRESS)。社会科学统计软件包(SPSS)用于测量Pearson相关系数并执行多元回归分析。这样做是为了测试抽样实体的系统风险和回报的财务衡量之间的关系。研究结果:这项研究发现,当对抽样实体进行实证分析时,系统风险和回报的衡量指标并不一定相关。理论贡献/原创性:本文指出,现代投资组合理论的原理不应被接受为一般真理。不应假设在所有经济环境下,所有金融市场的风险和回报都是线性相关的。这一前提与一般财务管理实践相反,在一般财务管理中,MPT被普遍接受,甚至构成了其他财务理论的基础。研究限制:IRESS数据库的使用在抽样方面造成了限制,因为该数据库经常无法提供统计测试所需的一整套数据。因此,只有33家公司被抽样,因为IRESS只为这些实体提供了一整套所需的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Viability of Risk-return Trade-off within a South African Context
Research aims: This study aimed to determine whether systematic risk and return are related to each other. It answered the research question: Is it realistic for investors to expect high returns when their investments are associated with more riskiness?Design/Methodology/Approach: Quantitative analysis was applied through a correlational research design. Secondary data were collected from the Integrated Real-time Equity System (IRESS). The Statistical Package for Social Sciences (SPSS) was utilised to measure a Pearson correlation coefficient and execute multiple regression analysis. This was done to test for the relationship between financial measurements of systematic risk and return, of sampled entities.Research findings: This research found that measures of systematic risk and return are not necessarily related when empirically analysed for sampled entities.Theoretical contribution/Originality: This paper indicated that the principle of the modern portfolio theory (MPT) should not be accepted as general truth. It should not be assumed that risk and return are linearly related in all financial markets under all economic circumstances. This premise is contrary to general financial management practice, where the MPT is universally accepted and even forms the basis of other financial theories.Research limitation: The use of the IRESS database posed a limitation in terms of sampling, as the database was frequently unable to present a complete set of data needed for statistical testing. Consequently, only 33 companies were sampled, as IRESS only made a complete set of required data available for these entities.
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