Optimized Portfolios: All Seasons Strategy

Raúl Navas, S. Bentes, H. Navas
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Abstract

Our study explores the efficient frontier of optimal investment, taking behind the Markowitz’s theory, while advocating a diversified portfolio to reduce risk. To perform it, six portfolio models are proposed, and its formation are made by a solver, where the selected solving method is the GRG Nonlinear engine for linear solver problems. Our main goal is to design portfolios that resists to financial crisis but at the same time persists in a wealthy period. We analyze the decade where we assisted to two crashes (2000–2010) and a semi-decade where we assist to a wealthy period (2011–2018). The assets used are varied, such as Equities indexes form various countries, sector equities, bonds, commodities, EURUSD exchange and VIX. Results show that the GRG Nonlinear engine is powerful, providing excess returns in all six models.
优化投资组合:全季节策略
我们的研究探索了最优投资的有效边界,在马科维茨理论背后,同时提倡多元化投资组合以降低风险。为了实现这一目标,提出了6个组合模型,并通过求解器进行了组合模型的形成,其中选择的求解方法是线性求解器问题的GRG非线性引擎。我们的主要目标是设计出既能抵御金融危机,同时又能在富裕时期持续存在的投资组合。我们分析了我们帮助两次崩溃的十年(2000-2010年)和我们帮助富裕时期的五年(2011-2018年)。使用的资产多种多样,例如各国的股票指数,部门股票,债券,商品,欧元美元汇率和波动率指数。结果表明,GRG非线性引擎功能强大,在所有六个模型中都提供了超额收益。
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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