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Optimizing pension asset & simulated derivative in Nigeria with minimum required return

机译:以最低的要求收益优化尼日利亚的养老金资产和模拟衍生品

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This work focuses on a forecast view point, the expansion gain in view of expanding Nigeria’s financial market through exchange traded options product. It further mixed existing an AES portfolio returns with simulated returns of a theoretical call option created from stock price forecast. A mean comparison between AES portfolio returns and AES plus simulated call option return was tested to see if there exist the usefulness of adding more aggressive variable income security in Pension portfolio as a stimulant to higher return. Furthermore, contributor’s minimum required return was used in our mathematical formulation as a risk minimization measure. A mathematical model-1 and Model-2 involving 5 and 6 variables respectively, 5 inequality constraints covering regulatory limitations and limitation on scarce resource known as Asset Under Management (AUM), suggested and mathematically shown to be possible through “minimization of risk for a set minimum return” while obeying all regulatory controls as our constraints. Optimized portfolio using TORA and MatLab showed a return of 13.06% from AES portfolio without a mix with simulated call option return. A minimum contributor return demand of 15% was used but it failed to achieve this but returned 13.06%. A mix of the AES portfolio with simulated call option return achieved our contributor 15% minimum return demand. Our test of significance at 95% confidence to infer that there is a difference in rate of return between AES fund manager’s and our mathematically optimized returns rejected our null and accepted our alternative hypothesis. We therefore posit that there is a 5% probability that our optimized mixed portfolio may not achieve a higher return than the AES fund manager’s portfolio.
机译:这项工作着眼于预测观点,即通过交易所买卖的期权产品扩展尼日利亚金融市场的扩展收益。它进一步将现有的AES投资组合收益与根据股价预测创建的理论看涨期权的模拟收益混合在一起。测试了AES投资组合收益与AES加模拟看涨期权收益之间的均值比较,以查看是否存在在养老金投资组合中添加更具侵略性的可变收益证券作为刺激更高收益的有用性。此外,在我们的数学公式中,使用了贡献者的最低要求收益作为最小化风险的措施。提出了数学模型1和模型2,分别涉及5个变量和6个变量,5个不平等约束条件,包括监管限制和对稀有资源的限制(称为“资产管理”(AUM)),并建议通过“最大限度地降低风险”来实现。设定最低回报”,同时遵守所有监管规定。使用TORA和MatLab进行优化的投资组合显示,没有混合模拟看涨期权收益的AES组合收益为13.06%。使用了最低供款者退货要求15%,但未能达到此要求,但退货了13.06%。 AES产品组合与模拟看涨期权收益混合在一起,使我们的贡献者的最低收益需求达到15%。我们以95%的置信度进行显着性检验,以推断AES基金经理的收益率与我们的数学优化收益率之间存在差异,因此我们拒绝了原假设并接受了其他假设。因此,我们认为优化的混合投资组合可能无法获得比AES基金经理的投资组合更高的回报的5%概率。

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    《Mathematical Finance Letters》 |2017年第1期|共1页
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  • 入库时间 2022-08-18 11:18:16

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