Economic Policy Uncertainty and Accounting Reporting Complexity

We posit that accounting reporting complexity includes two components—monetary reporting complexity (MRC) and textual reporting complexity (TRC). It is generally challenging to disentangle these components because they tend to increase with real business activities. Economic policy uncertainty (EPU) provides an ideal setting to overcome this challenge. Greater EPU reduces real business activities, suggesting a reduction in MRC. However, TRC can increase or decrease depending on disclosure incentives. Using monetary and textual eXtensible Business Reporting Language (XBRL) tags to measure MRC and TRC, respectively, we find that high EPU reduces MRC but increases TRC. These findings survive a series of robustness checks. Additional analyses show that [1] these relationships hold for all ten policy categories; [2] the reduction in five hard-to-reverse business activities drives the reduction in MRC; [3] the decrease in MRC drives the increase in TRC; [4] the simultaneous changes in MRC and TRC help reduce the increase in information asymmetry due to high EPU; and [5] these relationships are stronger for firms relying more on the government for their operations and weaker for firms with high political risk or proprietary risk. Collectively, these results suggest that, when facing greater uncertainty about future economic policies, firms tend to delay real economic activities and justify this reduction using textual disclosure. Our study makes several contributions to research on economic policy uncertainty and accounting reporting complexity.

Authors

Institutions

Publication Details

Journal
Journal of Accounting Auditing & Finance
Published
2025-11-12
DOI
https://doi.org/10.1177/0148558x251395102
Primary Topic
Financial Reporting and XBRL
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Policy Uncertainty and Accounting Reporting Complexity

Tri Tri Nguyen, Nhung Vu, Nhat Q. Nguyen, Andros Gregoriou
Journal of Accounting Auditing & Finance
Financial Reporting and XBRL
article

Economic Policy Uncertainty and Accounting Reporting Complexity

Tri Tri Nguyen, Nhung Vu, Nhat Q. Nguyen, Andros Gregoriou
article en

Abstract

We posit that accounting reporting complexity includes two components—monetary reporting complexity (MRC) and textual reporting complexity (TRC). It is generally challenging to disentangle these components because they tend to increase with real business activities. Economic policy uncertainty (EPU) provides an ideal setting to overcome this challenge. Greater EPU reduces real business activities, suggesting a reduction in MRC. However, TRC can increase or decrease depending on disclosure incentives. Using monetary and textual eXtensible Business Reporting Language (XBRL) tags to measure MRC and TRC, respectively, we find that high EPU reduces MRC but increases TRC. These findings survive a series of robustness checks. Additional analyses show that [1] these relationships hold for all ten policy categories; [2] the reduction in five hard-to-reverse business activities drives the reduction in MRC; [3] the decrease in MRC drives the increase in TRC; [4] the simultaneous changes in MRC and TRC help reduce the increase in information asymmetry due to high EPU; and [5] these relationships are stronger for firms relying more on the government for their operations and weaker for firms with high political risk or proprietary risk. Collectively, these results suggest that, when facing greater uncertainty about future economic policies, firms tend to delay real economic activities and justify this reduction using textual disclosure. Our study makes several contributions to research on economic policy uncertainty and accounting reporting complexity.

Journal of Accounting Auditing & Finance
Loughborough University (GB), University of Economics Ho Chi Minh City (VN), Loughborough College (GB), Liverpool John Moores University (GB), University of Roehampton (GB), Colorado State University (US)
Openalex Percentile: Top 47%
Financial Reporting and XBRL
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Economic Policy Uncertainty and Accounting Reporting Complexity — Tri Tri Nguyen, Nhung Vu, et al. · Journal of Accounting Auditing & Finance (2025) | TGRS Research Map | TGRS