Rehman, Zia UrZia UrRehmanProf. WONG Wing-keungKhan, NaveedNaveedKhanZada, HassanHassanZadaRaza, HassanHassanRaza2025-11-242025-11-242024-12-27Asian Academy of Management Journal of Accounting and Finance, 2024, vol. 20(2), pp. 85-119.1823-49922180-4192http://hdl.handle.net/20.500.11861/26199Open access<jats:p>In recent years, the issue of worldwide uncertainty has gained more attention in academic literature. Therefore, the current study examines how the United States (U.S.) economic policy uncertainty (EPU) affects various stock indices, commodities and cryptocurrencies. This study takes data on stock indices and commodities from February 2005 to December 2023 and data on cryptocurrency from October 2017 to December 2023. For estimations, we employ the Quantile-on-Quantile regression (QQR) approach to investigate the impact and to understand how changes in EPU affect stock indices, commodities, and cryptocurrency returns at different levels of quantiles. The findings reveal that EPU has a negative impact on the stock indices and cryptocurrencies. For stocks, high uncertainty leads to more volatility, while EPU exhibits higher volatility for cryptocurrencies, indicating sensitivity to policy changes. Similarly, commodities react differently to the U.S. EPU, while gold tends to appreciate in uncertain times. Furthermore, we employ quantile regression for robustness check, and the findings validate the outcome of QQR at various levels of quantiles from lower to higher. Moreover, the findings of this study are helpful for investors, portfolio managers, and policymakers to develop better investment strategies and effectively manage risks across different asset classes.</jats:p>enEconomic Policy UncertaintyUnited StatesCommodity MarketCryptocurrecy MarketsEquity MarketsQuantile-On-Quantile RegressionPeer Reviewed Journal Article10.21315/aamjaf2024.20.2.3