Value-at-Risk Calibration

Methodology

Value-at-Risk calibration serves as the quantitative framework for aligning theoretical loss projections with the realized volatility observed in crypto derivatives markets. Analysts employ this process to adjust confidence intervals and lookback periods, ensuring that statistical models accurately reflect the discontinuous price jumps characteristic of digital assets. Precise tuning of these parameters prevents the systematic underestimation of tail risk during periods of extreme market deleveraging.