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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review

Strategic Dividend Policy Adaptation and Stock Market Reactions in State-Owned Enterprises Across Crises

Tinungki G.M.

Emerging Science Journal

Q1
Published: 2026

Abstract

This study investigates the strategic adaptation of dividend policy in Indonesian state-owned enterprises across the pre-crisis, crisis, and recovery phases. Adaptation is operationally defined as firm-level, measurable changes in cash dividend indicators during the crisis and post-crisis phases relative to the pre-crisis average. Empirically, dividend behavior is estimated using a dynamic panel framework with system GMM, and an event-study approach evaluates abnormal returns and cumulative abnormal returns around dividend announcement dates in each phase. The results indicate that SOEs increased dividends during the crisis relative to pre- and post-crisis periods, and that the market exhibited stronger positive reactions in the crisis and recovery phases than in the pre-crisis phase. These patterns suggest adaptive choices consistent with managing uncertainty and reinforcing policy credibility within Indonesia’s state-ownership setting. The findings highlight the strategic role of dividend signals in shaping investor perceptions during economic shocks, while theoretically challenging the core cash-conservation premise of the pecking order and reinforcing the relevance of signaling theory for state-controlled firms with complex fiscal and political mandates.

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DividendSciences
Dividend policySciences
CredibilitySciences
EconomicsSciences
Monetary economicsSciences
Financial economicsSciences
Panel dataSciences
Abnormal returnSciences
Stock marketSciences
Capital marketSciences
Financial crisisSciences
Relevance (law)Sciences
Dividend payout ratioSciences
Order (exchange)Sciences
BusinessSciences
ShareholderSciences
Stock exchangeSciences
Adaptation (eye)Sciences
Stock (firearms)Sciences
Event studySciences
PremiseSciences
Cash flowSciences
CashSciences
Corporate governanceSciences