Life-Cycle Portfolio Choice with Imperfect Predictors

Alexander Michaelides, Yu-xin Zhang
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Abstract

We study quantitatively how uncertainty in expected stock return predictability affects life-cycle portfolio choice and wealth accumulation in the presence of undiversifiable labor income risk. Households filter information about future expected returns from observed predictors and realized stock returns. Therefore, optimal portfolio choice does not only depend on financial wealth and age, as in more traditional life-cycle models. Counterfactuals demonstrate the magnitude of portfolio demand changes that depend on perceptions about underlying expected returns. On average, life-cycle asset allocation becomes more conservative than models with either i.i.d. stock returns, or clearer signals about expected stock returns.
具有不完全预测因子的生命周期投资组合选择
我们定量研究了在不可分散的劳动收入风险存在下,股票预期收益可预测性的不确定性如何影响生命周期投资组合选择和财富积累。家庭从观察到的预测者和已实现的股票收益中过滤有关未来预期收益的信息。因此,最优的投资组合选择并不像在更传统的生命周期模型中那样,仅仅取决于金融财富和年龄。反事实表明,投资组合需求变化的幅度取决于对潜在预期回报的看法。平均而言,生命周期资产配置比股票收益或预期股票收益信号更清晰的模型更为保守。
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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