The accelerating adoption of digital currencies such as cryptocurrencies and CBDCs has disrupted traditional financial systems. These technologies challenge central banks’ control over monetary policy, alter the banking sector’s role, and affect economic stability. This research aims to examine the challenges of digital currencies pose to traditional financial systems and evaluate their effects on macroeconomic policy variables. The analysis focuses on identifying correlations and causal relationships between digital currency indicators and key economic policy variables. A comprehensive dataset from 2015 to 2024 was gathered using data on digital currency usage, monetary policy indicators, and economic stability metrics. Pearson correlation tests were used to explore associations between digital currency penetration (wallet adoption rate and transaction volume) and economic variables such as inflation, interest rate responsiveness, bank deposit volumes, and capital flow volatility. Further, fixed-effects regression, Granger causality analysis, and GMM models were used to determine the strength and direction of these relationships using SPSS software. Correlation analysis showed a significant negative correlation between cryptocurrency transaction volume and central bank policy rate responsiveness, and a moderate positive correlation between the CBDC development index and financial inclusion rates. The reliability and validity results for the hypothesis confirm that all constructs exceed threshold values (α ≥ 0.70, CR ≥0.70, AVE ≥ 0.50, and factor loadings ≥0.70). The statistical findings confirm that digital currencies are significantly correlated with and causally linked to disruptions in traditional monetary and financial structures. As digital adoption grows, it weakens policy tool effectiveness and increases financial volatility, although it may enhance financial inclusion.