The Opposing Effects of Complexity and Information Content on Uncertainty Dynamics: Evidence from 10-K Filings

Joon Woo Bae, Frederico Belo, Jun Li, Xiaoji Lin, Xiaofei Zhao

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We evaluate the impact of complexity and information content of 10-K filings on uncertainty dynamics following the filings. We have three main findings. First, the optionimplied volatility on average increases in the first four weeks after the filings, followed by a net decrease in the subsequent six weeks. Second, this hump-shaped volatility dynamic is more pronounced for firms with larger 10-K file sizes. Third, we provide a novel decomposition of 10-K file size based on the individual sections' disclosure amount and topic analysis and find that the discussions on topics in the "risk factors"section mainly capture the complexity aspect, whereas the discussions on topics in the "managerial discussion and analysis"section mainly capture the information content aspect of the 10-K filings. Our findings highlight the importance of timing for understanding the opposing effects of complexity and information content on asset prices.

Original languageEnglish (US)
Pages (from-to)6313-6332
Number of pages20
JournalManagement Science
Volume69
Issue number10
DOIs
StatePublished - Oct 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 INFORMS.

Keywords

  • complexity
  • information
  • learning
  • textual analysis
  • volatility dynamics

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