New method predicts stock market volatility with unprecedented accuracy!
The article develops a way to understand how the shape of implied volatility surfaces is affected by different features of a model with jumps in returns. By using a bivariate expansion, the researchers can analyze how these models impact the characteristics of the implied volatility surface. This helps determine which models can accurately reflect the observed data in the implied volatility market.