健壮的异常?密切关注基于权责发生制的交易策略回报

Stephen L Taylor, Leon Wong
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引用次数: 16

摘要

在过去的40年里,有大量文献记录了主要资本市场中所谓的异常现象。与交易策略相关的“异常”回报的证据基于容易观察到的现象,如基于会计的数据,涉及可以预期影响结果的实验设计选择。我们展示了澳大利亚应计异常的证据如何对研究设计规范(如选择应计总额的代理)敏感;异常收益的定义(即收益产生模型);作为对异常高回报的回应,数据修剪的影响;以及在价值和同等权重回报之间的选择。我们表明,研究设计选择确实很重要,并有助于调和澳大利亚任何应计异常的相互矛盾的先前证据。更广泛地说,我们的结果表明,在从交易策略测试中得出推论时需要谨慎,这些测试声称可以识别异常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Anomalies? A Close Look at Accrual‐Based Trading Strategy Returns
The last 40 years have seen an extensive literature documenting so‐called anomalies in major capital markets. Evidence of ‘abnormal’ returns associated with trading strategies based on readily observable phenomena such as accounting‐based data involves experimental design choices that can be expected to influence the results. We show how evidence of an accrual anomaly in Australia is sensitive to research design specifications such as the choice of proxy for total accruals; the definition of abnormal returns (i.e. the return generating model); the impact of data trimming as a response to exceptionally large returns; and the choice between value and equal weighting of returns. We show that research design choices do matter and help reconcile conflicting prior evidence of any accrual anomaly in Australia. More broadly, our results suggest the need for caution in drawing inferences from trading strategy tests which claim to identify anomalies.
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