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Discussion of “the evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation”

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  • Miller, Gregory S.

Abstract

Dyer et al. (2017) examines trends in 10-K textual disclosure from 1996–2013. Using a set of variables from prior textual research, they show a decrease in characteristics generally considered desirable and an increase in attributes considered undesirable. The trend is driven by disclosures to comply with new regulatory reporting standards. The study takes a high-level approach allowing an overview perspective. However, that approach also means readers should take caution in reaching strong conclusions on any one finding. In this discussion I point out a few areas where I believe readers should be particularly aware of limitations this approach imposes.

Suggested Citation

  • Miller, Gregory S., 2017. "Discussion of “the evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation”," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 246-252.
  • Handle: RePEc:eee:jaecon:v:64:y:2017:i:2:p:246-252
    DOI: 10.1016/j.jacceco.2017.07.004
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    References listed on IDEAS

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    1. Dyer, Travis & Lang, Mark & Stice-Lawrence, Lorien, 2017. "The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 221-245.
    2. Gregory S. Miller, 2006. "The Press as a Watchdog for Accounting Fraud," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 1001-1033, December.
    3. Stephen V. Brown & Jennifer Wu Tucker, 2011. "Large‐Sample Evidence on Firms’ Year‐over‐Year MD&A Modifications," Journal of Accounting Research, Wiley Blackwell, vol. 49(2), pages 309-346, May.
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    Cited by:

    1. Wei, Lu & Li, Guowen & Zhu, Xiaoqian & Sun, Xiaolei & Li, Jianping, 2019. "Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures," Energy Economics, Elsevier, vol. 80(C), pages 452-460.
    2. Zhang, Zuochao & Goodell, John W. & Shen, Dehua & Lahmar, Oumaima, 2024. "Media opinion divergence and stock returns: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 93(C).
    3. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

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