Volatility surface adherence measures how closely observed market option prices align with the theoretical prices derived from a constructed volatility surface model. In crypto institutional options trading, this indicates the accuracy of the pricing model and the consistency of implied volatilities across different strike prices and maturities.
Mechanism
The mechanism involves continuously collecting real-time option quotes and their corresponding implied volatilities. These implied volatilities are then plotted to form an empirical volatility surface. Adherence is assessed by comparing this empirical surface against a theoretical model, often a calibrated local volatility or stochastic volatility model, using statistical error metrics.
Methodology
High volatility surface adherence is critical for accurate pricing, risk management, and hedging strategies in crypto options. The methodology supports the validation and recalibration of pricing models, ensuring that RFQ responses reflect fair value and consistent risk assessments. Deviations can signal market inefficiencies, model miscalibration, or opportunities for arbitrage, guiding smart trading decisions.
Robust quote validation establishes systemic price integrity, empowering precise execution and superior capital deployment across diverse asset classes.
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