Practical Applications of When Growth Beats Value: Applying Momentum Filters to Growth and Value Portfolios

A. Clare, James Seaton, Peter N. Smith, Stephen H. Thomas
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Abstract

Practical Applications Summary In When Growth Beats Value: Applying Momentum Filters to Growth and Value Portfolios, in the August 2019 edition of The Journal of Investing, Andrew Clare, James Seaton, and Stephen Thomas, all of ass Business School, City University, and Peter N. Smith of the University of York analyze momentum investing and whether simple adaptations of momentum factors can augment the performance of growth and value portfolios. They compare the returns from applying momentum-based trading rules to developed and emerging markets and to growth- and value-oriented investing. The crux of their article is a distinction between relative momentum, which ranks assets based on their performance against one another, and absolute momentum, which ranks assets based on whether they have displayed recent positive returns. The authors find that the performance gap between buying and holding a value portfolio over a growth portfolio shrinks after the application of a relative-momentum filter. They note that growth investing can generally outperform comparable value and conventional buy-and-hold strategies when investors use momentum-based rules, though value strategies can benefit as well. Trend following in particular offers significant benefits over a buy-and-hold strategy. The authors additionally find that absolute-momentum overlays deliver better returns overall than relative-momentum ones (except in the case of developed-market growth stocks), along with lower volatility and smaller drawdowns. TOPICS: Factor-based models, performance measurement, emerging
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当成长胜过价值时的实际应用:将动量过滤器应用于成长和价值投资组合
《当增长击败价值:将动量过滤器应用于增长和价值投资组合》发表在2019年8月版的《投资杂志》上,来自ass商学院、城市大学的安德鲁·克莱尔、詹姆斯·西顿和斯蒂芬·托马斯以及约克大学的彼得·n·史密斯分析了动量投资,以及动量因素的简单调整是否可以提高增长和价值投资组合的表现。他们比较了将基于动量的交易规则应用于发达市场和新兴市场以及增长型和价值型投资的回报。他们文章的核心是区分相对动量和绝对动量。相对动量是根据资产之间的表现对资产进行排名,而绝对动量是根据资产最近是否显示出正回报对资产进行排名。作者发现,在应用相对动量过滤器后,购买和持有价值投资组合与持有成长型投资组合之间的业绩差距缩小了。他们指出,当投资者使用基于动量的规则时,成长型投资通常可以优于可比价值和传统的买入并持有策略,尽管价值策略也可以受益。与买入并持有策略相比,趋势跟踪尤其具有显著的优势。作者还发现,总体而言,绝对动量叠加比相对动量叠加带来更好的回报(发达市场成长型股票除外),同时波动性更低,回撤幅度更小。主题:基于因素的模型,绩效测量,新兴
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