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Stochastic portfolio theory and the low beta anomaly

机译:随机投资组合理论和低β异常

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Many studies have found that portfolios of low beta stocks have higher growth rates than portfolios of high beta stocks and have concluded that low beta stocks have higher growth rates than high beta stocks. Since rational investor behavior is thought to imply that additional risk is rewarded with additional return, the alleged higher growth rates of low beta versus high beta stocks has been termed a 'Low Beta Anomaly' (LBA). However, it is premature to conclude that these observed LBAs are due to stocks' differential growth rates, because the tested portfolios are traded. Stochastic Portfolio Theory (SPT) shows that traded portfolios' growth rates can exceed the growth rates of their stocks. This paper presents several SPT models of an LBA that do not require investment constraints, irrational investor behavior, or that low beta stocks have higher growth rates than high beta stocks. These LBAs are due to reconstitution relative volatility capture that favors portfolios of low vs. high beta stocks. They result from trading profit, not differential growth rates between low and high beta stocks. Monte Carlo simulations demonstrate a reconstitution relative volatility capture LBA that is consistent with the models and the literature.
机译:许多研究发现,低贝塔股票的投资组合的增长率高于高贝塔股票的投资组合,并得出结论,低贝塔股票的增长率高于高贝塔股票。由于人们认为理性的投资者行为意味着额外的回报会带来额外的风险,因此,所谓的低贝塔值股票相对于高贝塔股票的较高增长率被称为“低贝塔异常”(LBA)。然而,现在断定这些观察到的LBA是由于股票的差异增长率所致,因为测试的投资组合是交易性的。随机投资组合理论(SPT)显示,交易组合的增长率可以超过其股票的增长率。本文介绍了LBA的几种SPT模型,这些模型不需要投资约束,不理性的投资者行为,也不需要低beta股票比高beta股票具有更高的增长率。这些LBA归因于重组相对波动性捕获,这有利于低beta股票与高beta股票的投资组合。它们来自交易利润,而不是低和高贝塔股票之间的增长率差异。蒙特卡洛模拟显示重构的相对波动率捕获LBA与模型和文献一致。

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