Political Risk and the Demand for Voluntary Disclosure

Megan Grady & Jiwon Nam

Journal of Business Finance & Accounting2026https://doi.org/10.1111/jbfa.70052article
AJG 3ABDC A*
Weight
0.50

Abstract

In this study, we examine the impact of firm‐level political risk on the demand for voluntary disclosure. When firms face higher levels of political risk, they not only face greater uncertainty relating to political outcomes but also a number of potentially significant negative consequences that can stem from them. We investigate if firms facing higher levels of political risk experience greater demand for disclosure from investors who are concerned with protecting against costs associated with this risk. Our results indicate that firms facing higher levels of political risk not only experience greater demand for disclosure, in general, but also experience greater demand for political disclosure, in particular. In a subsequent analysis, we investigate whether these findings are concentrated in firms that publicly disclose a relation with a public official (or a relation with someone closely tied to the political circle). We find that the demand for disclosure is concentrated in firms that provide such public disclosure.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1111/jbfa.70052

Or copy a formatted citation

@article{megan2026,
  title        = {{Political Risk and the Demand for Voluntary Disclosure}},
  author       = {Megan Grady & Jiwon Nam},
  journal      = {Journal of Business Finance & Accounting},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/jbfa.70052},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Political Risk and the Demand for Voluntary Disclosure

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.