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Optimal Portfolios under Time-Varying Investment Opportunities, Parameter Uncertainty, and Ambiguity Aversion

机译:在时变的投资机会,参数不确定性和歧义厌恶下的最佳投资组合

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We study the implications of predictability on the optimal asset allocation of ambiguity-averse long-term investors and analyze the term structure of the multivariate risk-return trade-off considering parameter uncertainty. We calibrate the model to real returns of U.S. stocks, long-term bonds, cash, real estate, and gold using the term spread and the dividend-price ratio as additional predictive variables, and we show that over long horizons, the optimal asset allocation is significantly influenced by the covariance structure induced by estimation errors. The ambiguity-averse long-term investor optimally tilts his or her portfolio toward a seemingly inefficient portfolio, which shows maximum robustness against estimation errors.
机译:我们研究了可预测性对歧义性厌恶长期投资者最佳资产分配的影响,并分析了考虑参数不确定性的多变量风险返回权衡的术语结构。我们将模型校准了美国股票,长期债券,现金,房地产和黄金的实际回报,使用术语传播和股息 - 价格比作为额外的预测变量,我们表明,在长时间的视野中,最佳资产分配受估计误差引起的协方差结构的显着影响。歧义 - 厌恶的长期投资者最佳地将他或她的投资组合倾向于看似低效的投资组合,这表明了对估计误差的最大鲁棒性。

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