From Micro to Macro: Aggregate Accruals, Mergers, and Returns. A Discussion of Heater, Nallareddy and Venkatachalam (2021)

A. Chen, M. Ogneva
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Abstract

Abstract Heater, Nallareddy, and Venkatachalam (2021), hereafter HNV, find that aggregate merger and acquisition (M&A) activity explains the ability of aggregate accruals to predict market-wide returns. In this discussion, we delineate HNV’s contribution to accounting literature and provide a review of the emerging stream of micro-to-macro accounting research. We also discuss HNV’s findings in relation to research beyond accounting, including the literature on aggregate return prediction and mergers and acquisitions. Our discussion draws parallels between HNV’s results and prior empirical evidence pertaining to aggregate investment and merger waves and identifies several puzzling inconsistencies. These inconsistencies highlight the lack of a clearly specified mechanism behind the return-predictive ability of aggregate M&A accruals. Finally, we point out the challenges posed by the small sample size and noisy measures of M&A accruals that may affect HNV’s inferences. We conclude by suggesting several directions for future research.
从微观到宏观:累计应计收益、合并和回报。热、纳拉雷迪和文卡塔查拉姆讨论(2021)
加热器,Nallareddy和Venkatachalam(2021)(以下简称HNV)发现,总体并购(M&A)活动解释了总体应计收益预测市场整体回报的能力。在本讨论中,我们描述了高净值对会计文献的贡献,并对新兴的从微观到宏观的会计研究进行了回顾。我们还讨论了HNV的发现与会计以外的研究有关,包括关于总回报预测和并购的文献。我们的讨论将HNV的结果与先前有关总投资和合并浪潮的经验证据进行了比较,并指出了几个令人费解的不一致之处。这些矛盾凸显出,在并购应计收益预测能力背后,缺乏一种明确规定的机制。最后,我们指出了小样本量和并购应计收益的嘈杂度量所带来的挑战,这可能会影响高净值人士的推论。最后提出了未来研究的几个方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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