动量趋势跟踪vs .移动平均线:差异的故事

Valeriy Zakamulin, Javier Giner
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引用次数: 2

摘要

尽管人们对趋势追随的兴趣日益浓厚,学术期刊上也发表了一系列文章,但关于趋势追随规律性质的理论成果仍然非常缺乏。我们的论文通过比较和对比两种最流行的趋势跟踪规则,动量(MOM)和移动平均(MA)规则,从理论的角度填补了这一空白。我们的方法是基于基于回报的交易规则,并通过自回归回报过程对价格趋势进行建模。我们对各种趋势跟随规则之间的相似性和交易规则的预测准确性给出了理论结果。结果表明,随着趋势强度的增加,MOM和MA规则的相似性较高。然而,与MOM规则相比,MA规则对价格趋势的未来方向有更强大的预测准确性。因此,在不确定的市场动态下,MA规则往往比MOM规则更有优势。总的来说,本文的研究结果有助于交易者更深入地了解趋势跟随规则的性质以及它们之间的异同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trend Following with Momentum Versus Moving Average: A Tale of Differences
Despite the ever-growing interest in trend following and a series of publications in academic journals, there is still a great shortage of theoretical results on the properties of trend following rules. Our paper fills this gap by comparing and contrasting the two most popular trend following rules, the Momentum (MOM) and Moving Average (MA) rules, from a theoretical perspective. Our approach is based on the return-based formulation of trading rules and modelling the price trends by an autoregressive return process. We provide theoretical results on the similarity between various trend following rules and the forecast accuracy of trading rules. Our results show that the similarity between the MOM and MA rules is rather high and increases with increasing trend strength. However, as compared to the MOM rule, the MA rules have a more robust forecast accuracy of the future direction of price trends. As a result, under uncertain market dynamics the MA rules tend to gain an advantage over the MOM rule. Overall, the results reported in this paper help traders to understand more deeply the properties of trend following rules as well as the differences and similarities between them.
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