特殊时刻和巴西股票收益的横截面

Caio Almeida, Bernard P. Ricca, Cristina Tessari
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引用次数: 2

摘要

这个在线附录报告了我们主要结果的额外稳健性检查。我们提出了一组表,其中包含对较高的特殊时刻(预期偏度,实现偏度和实现波动率)排序的投资组合的汇总统计数据,使用两个可选的时间范围来估计特殊偏度和特殊波动率的度量:T = 24个月和T = 60个月。对于这两个时间范围,与我们在论文中提出的等权重投资组合的经验证据一致,结果表明,预期特质偏度与预期回报横截面之间,以及特质波动性与未来回报横截面之间存在负的统计显著关系。虽然我们观察到实现的特质偏度与未来收益的横截面之间存在负相关关系,但结果在统计上并不显著。为了说明特质高矩的时变性质,我们还提供了另类时间范围的特质偏度和特质波动率的横截面分布的附加数据。
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Idiosyncratic Moments and the Cross-Section of Stock Returns in Brazil
This online appendix reports additional robustness checks for our main results. Wepresent a set of tables with summary statistics for portfolios sorted on higher idiosyncraticmoments (expected skewness, realized skewness, and realized volatility) using two alternativetime horizons to estimate the measures of idiosyncratic skewness and idiosyncratic volatility:T = 24 months and T = 60 months. For both time horizons, consistent with the empiricalevidence presented in our paper for equally-weighted portfolios, the results indicate theexistence of a negative and statistically significant relation between expected idiosyncraticskewness and the cross-section of expected returns, as well as between idiosyncratic volatilityand the cross-section of future returns. Although we observe a negative relation betweenrealized idiosyncratic skewness and the cross-section of future returns, the results are notstatistically significant. To illustrate the time-varying nature of the idiosyncratic higher moments,we also present additional figures with the cross-sectional distribution of idiosyncraticskewness and idiosyncratic volatility for the alternative time horizons.
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