This table presents the univariate GARCH coefficients alpha and beta for all digital and conventional assets of a DCC-GARCH model for the sample period surrounding the Terra Luna crash from January 1st to May 31st 2022. The high beta coefficients across all assets indicate strong volatility persistence, meaning past market shocks significantly impact current volatility. LUNA’s notably higher alpha coefficient reflects its extreme volatility during the Terra-Luna crash, highlighting the significant influence of past shocks on its variance. These findings are crucial for risk management and portfolio diversification, underscoring the importance of accounting for heightened volatility periods in strategic planning. The symbols ***, ** and * denote statistical significance of t-tests at the 1, 5 and 10% level, respectively