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A study of the predictive performance of the moving average trading rule as applied to NYSE, the Athens Stock Exchange and the Vienna Stock Exchange: sensitivity analysis and implications for weak-form market efficiency testing

机译:对应用于纽约证券交易所,雅典证券交易所和维也纳证券交易所的移动平均交易规则的预测性能的研究:敏感性分析及其对弱形式市场效率测试的影响

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摘要

This work examines the variation of the simple Moving Average (MA) trading rule performance as a function of the MA length in New York Stock Exchange (NYSE), Athens Stock Exchange (ASE) and Vienna Stock Exchange (VSE) using daily data from May 1993 to April 2005. Results show that changes of the MA trading rule performance as a function of the length of the MA are in many cases random. Moreover, in the presence of a 0.5% fee per transaction, trading rule performance as a function of the MA length in several cases follow a random walk with a positive drift process, implying better performance for longer MAs. To an extent, due to the large variability of the trading rule performance observed in many cases, these results weaken previous conclusions regarding the predictive power of the rule where use was made of MAs with only specific lengths, as well as any conclusions regarding acceptance or rejection of the weak-form market efficiency hypothesis. Further, a preliminary qualitative analysis showed enhanced trading rule performance for very short MA lengths, a result which needs further investigation.
机译:这项工作使用5月份的每日数据,研究了简单移动平均线(MA)交易规则性能随纽约证券交易所(NYSE),雅典证券交易所(ASE)和维也纳证券交易所(VSE)的MA长度的变化。从1993年到2005年4月。结果表明,MA交易规则性能随MA长度的变化在许多情况下是随机的。此外,在每笔交易收取0.5%的费用的情况下,在某些情况下,交易规则的性能随MA长度的变化遵循随机走动并具有正漂移过程,这意味着较长MA的性能更好。在一定程度上,由于在许多情况下观察到的交易规则执行情况差异很大,因此这些结果削弱了先前关于使用仅具有特定长度的MA的规则的预测能力的结论,以及有关接受或接受的任何结论。拒绝弱形式的市场效率假说。此外,初步的定性分析表明,对于非常短的MA长度,增强了交易规则性能,需要进一步研究这一结果。

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  • 来源
    《Applied financial economics》 |2009年第15期|1171-1186|共16页
  • 作者单位

    Department of Statistics and Actuarial-Financial Mathematics, Laboratory of Actuarial-Financial Mathematics, University of the Aegean, GR-83200 Karlovassi, Santos, Greece;

    Department of Statistics and Actuarial-Financial Mathematics, Laboratory of Actuarial-Financial Mathematics, University of the Aegean, GR-83200 Karlovassi, Santos, Greece;

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  • 入库时间 2022-08-17 13:18:52

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