Abstract
The fair value of an option is given by breakeven volatility, the value of implied volatility that sets the profit and loss of a delta-hedged option to zero. We calculate breakeven volatility for 400,000 options on the S&P 500 and build a predictive model for these volatilities. A two-stage regression approach captures the majority of the observed variation. By providing a link between option characteristics and breakeven volatility, we establish a non-parametric approach to pricing options without the need to specify the underlying price process. We illustrate the economic value of our approach with a simulated trading strategy based on breakeven volatility predictions.
| Original language | English |
|---|---|
| Pages (from-to) | 99-119 |
| Number of pages | 21 |
| Journal | Financial Analysts Journal |
| Volume | 79 |
| Issue number | 1 |
| Online published | 23 Aug 2022 |
| DOIs | |
| Publication status | Published - 2023 |
Research Keywords
- options
- prediction
- trading strategy
- volatility
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is an Accepted Manuscript of an article published by Taylor & Francis in FINANCIAL ANALYSTS JOURNAL on 23 Aug 2022, available online: http://www.tandfonline.com/10.1080/0015198X.2022.2100234.