Contingent liability disclosure and stock price informativeness: evidence from NSE 500 firms in India

This study examines the association between contingent liability disclosure (CLD) and stock price synchronicity in India, assessing whether CLD facilitates the incorporation of firm-specific information into stock prices. Using panel data comprising 5,483 firm-year observations from 2006–2023, synchronicity is estimated using the Capital Asset Pricing Model (CAPM) and the Fama–French four-factor and six-factor models. Higher CLD is associated with lower synchronicity across model specifications, consistent with greater incorporation of firm-specific information into stock prices. Financial contingencies exhibit the most consistently significant negative association, followed by operational contingencies, while evidence for transaction-related contingencies is less consistent. The association also varies across market environments: it is weaker among passive-fund stocks but remains evident among stocks with derivatives trading and across different levels of intraday trading activity. The study contributes to the corporate disclosure and capital-market literature by distinguishing among categories of contingent liabilities and providing evidence from an emerging market with evolving disclosure regulations and concentrated ownership. The findings reflect disclosure-adjusted contingent liability exposure rather than disclosure quality alone.

Authors

Institutions

Publication Details

Journal
Cogent Economics & Finance
Published
2026-10-29
DOI
https://doi.org/10.1080/23322039.2026.2749213
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contingent liability disclosure and stock price informativeness: evidence from NSE 500 firms in India

Srikanth Potharla
4 links
Cogent Economics & Finance
Auditing, Earnings Management, Governance
article

Contingent liability disclosure and stock price informativeness: evidence from NSE 500 firms in India

Srikanth Potharla
article en

Abstract

This study examines the association between contingent liability disclosure (CLD) and stock price synchronicity in India, assessing whether CLD facilitates the incorporation of firm-specific information into stock prices. Using panel data comprising 5,483 firm-year observations from 2006–2023, synchronicity is estimated using the Capital Asset Pricing Model (CAPM) and the Fama–French four-factor and six-factor models. Higher CLD is associated with lower synchronicity across model specifications, consistent with greater incorporation of firm-specific information into stock prices. Financial contingencies exhibit the most consistently significant negative association, followed by operational contingencies, while evidence for transaction-related contingencies is less consistent. The association also varies across market environments: it is weaker among passive-fund stocks but remains evident among stocks with derivatives trading and across different levels of intraday trading activity. The study contributes to the corporate disclosure and capital-market literature by distinguishing among categories of contingent liabilities and providing evidence from an emerging market with evolving disclosure regulations and concentrated ownership. The findings reflect disclosure-adjusted contingent liability exposure rather than disclosure quality alone.

Cogent Economics & FinanceVol. 14(1)
ICFAI Business School (IN), ICFAI Foundation for Higher Education (IN)
Openalex Percentile: Top 4%
Auditing, Earnings Management, Governance
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.

Laika access coming soon