A common approach to valuing exotic options involves choosing a model and then determining its parameters to fit the volatility surface as closely as possible. We refer to this as the model calibration approach (MCA). A disadvantage of MCA is that some information in the volatility surface is...

We employ neural networks to understand volatility surface movements. We first use daily data on options on the S&P 500 index to derive a relationship between the expected change in implied volatility and three variables: the return on the index, the moneyness of the option, and the remaining...

We uncover new return predictability in the cross-section of delta-hedged equity options. Expected returns of writing delta-hedged calls are negatively correlated with current stock price, firm profit margin and profitability, but positively correlated with firm cash holding, cash flow variance,...

We find that option expensiveness, as measured by delta-hedged option returns, is higher for low-ESG stocks, indicating that investors pay a premium in the option market to hedge ESG-related uncertainty. We estimate this ESG premium to be about 0.3% per month. All three components of ESG...

Option-based measures can predict underlying stock returns, due to differences in price discovery and price pressure effects between options and underlying stocks. We investigate stock return predictability by various option price-based measures using REITs. REITs are more transparent and...