Rahmat Aryo Baskoro
Department of Management, Faculty of Economics and Business, Universitas Indonesia, Depok, West Java 16424

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Macroeconomic conditions and stock returns in Indonesia’s consumer sector: Evidence of sectoral heterogeneity and financial vulnerability Chairani Manasye Riama Sinaga; Rahmat Aryo Baskoro
Journal of Economic Resilience and Sustainable Development Vol. 3 No. 2: August (2026)
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/ersud.v3i2.2026.3896

Abstract

Background: This study examines the impact of macroeconomic conditions on stock returns in Indonesia’s consumer sector, with the objective of determining whether these effects differ across sectoral classifications and firms’ financial conditions. Although existing research broadly recognizes the linkage between macroeconomic indicators and stock returns, much of the literature implicitly assumes homogeneous responses across firms and sectors, particularly within the consumer industry. Methods: Using a quantitative panel data approach, this study analyzes firms in the consumer sector listed on the Indonesia Stock Exchange over the 2015–2024 period, incorporating inflation, policy interest rates, exchange rate growth, money supply (M2), unemployment, and real gross domestic product growth as explanatory variables, while controlling for profitability and leverage. Findings: The analysis employs the Common Effects Model with Panel-Corrected Standard Errors to account for heteroskedasticity and cross-sectional dependence, and introduces sector classification and financial distress, measured by the Altman Z-Score, as moderating variables. The results indicate that the influence of macroeconomic factors on stock returns is heterogeneous rather than uniform: policy interest rates consistently exert a negative and statistically significant effect, whereas the effects of inflation, exchange rate movements, money supply, unemployment, and economic growth vary across sectoral classifications and financial distress conditions, as reflected in several significant interaction terms. Conclusion: These findings imply that aggregate macroeconomic signals are transmitted to stock returns through distinct channels depending on firms’ sectoral positioning and financial health. The study therefore concludes that analyses which overlook such heterogeneity risk producing incomplete or misleading inferences regarding macro–return relationships in emerging markets.  Novelty/Originality of this article: The novelty of this research lies in its integrated moderation framework, which simultaneously considers sector classification and financial distress within a unified panel setting, thereby offering a more nuanced and context-specific understanding of how macroeconomic factors shape stock returns in Indonesia’s consumer sector.
Geoeconomic risk and digital assets: Evaluating bitcoin’s hedge role against Indonesia’s stock market Darrel Afrian Tjahjadi; Rahmat Aryo Baskoro
Economic Military and Geographically Business Review Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/emagrap.v3i2.2026.3300

Abstract

Background: This study assesses whether Bitcoin functions as a hedge and safe-haven against the Jakarta Composite Index/Indeks Harga Saham Gabungan (IHSG), particularly following the launch of the Spot Bitcoin ETF on January 10, 2024. Despite being widely portrayed as “digital gold,” prior studies show mixed evidence on Bitcoin’s protective role, especially in emerging markets. Given the relatively high volatility of the Indonesian stock market, evaluating Bitcoin’s risk-mitigation potential becomes increasingly relevant. Methods: The analysis employs the Dynamic Conditional Correlation GARCH (DCC-GARCH) model to estimate time-varying correlations between Bitcoin and IHSG, alongside Ordinary Least Squares (OLS) and quantile regression to examine hedge and safe-haven behavior under normal and extreme market conditions. The study explicitly compares pre- and post-ETF periods to capture potential structural changes. Findings: results indicate that Bitcoin does not function as a hedge, reflected in its positive and volatile average correlation with IHSG. Quantile regression further shows that Bitcoin fails to provide protection at extreme IHSG quantiles, both before and after the ETF launch. DCC-GARCH estimates confirm that correlations are time-varying but remain predominantly positive, failing to meet safe-haven characteristics. Moreover, the Spot Bitcoin ETF launch did not significantly enhance Bitcoin’s protective role, despite improving legitimacy and institutional participation. Conclusion: Overall, Bitcoin is better positioned as a diversifier with unstable correlation patterns rather than as a hedge or safe-haven for the Indonesian stock market, with important implications for investors, portfolio managers, and regulators. Novelty/Originality of this article: This study provides early emerging-market evidence on Bitcoin’s hedge and safe-haven properties using a combined DCC-GARCH, OLS, and quantile regression framework while explicitly comparing pre- and post-Spot Bitcoin ETF periods.