Snapshots of Contract-Level Binary Prediction of Implied Volatility Surfaces Using Transformers

Quickly apply original, key PMR-published papers with Snapshots—a short article companion that distills PMR research into compressed, digestible takeaways, so you can put the paper’s core ideas to work in your investment process—fast. This Snapshot article is based on research proposing a temporal and cross-sectional transformer architecture (TCTA) that predicts next-day implied volatility movement for individual S&P 500 option contracts and outperforms comparison models in forecasting the magnitude of implied volatility change.