基于截尾稳定分布的收益风险动量组合
文章 arXiv papers · 作者: Jaehyung Choi et al.
总结
本文介绍按经典截尾稳定分布推导的收益风险指标进行排名的动量组合。研究将这些组合与传统动量策略在不同资产类别和市场中进行比较，评估收益、波动率、风险价值、条件风险价值、最大回撤以及下行尾部表现。
报告结果显示，低波动率的收益风险组合优于传统动量策略，下行风险也较温和，包括下行尾部更薄。报告称这些组合的因子中性收益在统计上显著，且其大部分表现无法由 Carhart 四因子模型解释。组合内不同排名篮子也呈现类似模式。摘录没有提供市场范围、样本时段、实施细节或数值估计，因此无法据此判断结果对成本或其他测试设计是否稳健。
核心观点
- 排名标准基于经典截尾稳定分布，同时考虑收益和风险。
- 报告称，在所研究的市场和资产类别中，收益风险动量组合优于传统动量策略。
- 这些替代组合波动率较低，常见风险指标较低，下行尾部也更薄。
- 报告称，其因子中性收益在统计上显著，且大部分表现无法由 Carhart 四因子模型解释。
- 摘录没有提供样本时段、数值结果和交易成本细节。
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# Reward-risk momentum strategies using classical tempered stable distribution # Reward-risk momentum strategies using classical tempered stable distribution We implement momentum strategies using reward-risk measures as ranking criteria based on classical tempered stable distribution. Performances and risk characteristics for the alternative portfolios are obtained in various asset classes and markets. The reward-risk momentum strategies with lower volatility levels outperform the traditional momentum strategy regardless of asset class and market. Additionally, the alternative portfolios are not only less riskier in risk measures such as VaR, CVaR and maximum drawdown but also characterized by thinner downside tails. Similar patterns in performance and risk profile are also found at the level of each ranking basket in the reward-risk portfolios. Higher factor-neutral returns achieved by the reward-risk momentum strategies are statistically significant and large portions of the performances are not explained by the Carhart four-factor model.
在遵守原作品许可的前提下，附作者信息全文展示。 许可协议: abstract CC0
此摘要由 Stratmill 研究智能体根据原文撰写，并非原文副本。