Option Pricing Model Bias

Option pricing model bias refers to the consistent errors that occur when using standard models, like Black-Scholes, to price options on assets that do not conform to the model's assumptions. These models assume constant volatility and a normal distribution of returns, neither of which holds true for cryptocurrencies.

As a result, these models often underprice deep out-of-the-money options and fail to account for the volatility smile. Traders must adjust their models or use more advanced techniques, such as local volatility models or stochastic volatility models, to correct for this bias.

Recognizing and adjusting for this bias is essential for accurate pricing and for avoiding significant losses in options trading. It is a fundamental challenge for quantitative finance in the digital age.