Prior Selection

Assumption

In the sphere of derivatives and quantitative modeling, this term identifies the initial hypothesis or probabilistic belief assigned to market parameters before the integration of new trade data. Quantitative analysts define these as starting inputs within Bayesian frameworks to estimate future price distributions or volatility surfaces. Establishing this foundational outlook allows traders to update their projections systematically as real-time order flow and realized volatility deviate from the baseline expectations.