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

Author:

Bae Joon Woo1ORCID,Belo Frederico23ORCID,Li Jun4ORCID,Lin Xiaoji5,Zhao Xiaofei6ORCID

Affiliation:

1. Weatherhead School of Management, Case Western Reserve University, Cleveland, Ohio 44106;

2. INSEAD, 77300 Fontainebleau, France;

3. Centre for Economic Policy Research, London EC1V 0DX, United Kingdom;

4. Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080;

5. Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455;

6. McDonough School of Business, Georgetown University, Washington, District of Columbia 20057

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 option-implied 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. This paper was accepted by Agostino Capponi, finance. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2022.4615 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measuring Firm Complexity;Journal of Financial and Quantitative Analysis;2023-05-15

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