Semiparametric option pricing based on underlyings historical data (accepted at the osQF 2026 (ex R/Finance) conference)

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News Source : R-bloggers.com

News Summary

  • This post is a follow-up to my previous posts on semi-parametric option pricing.
  • A link to the study (accepted for presentation at the osQF 2026 conference) is provided at the end of this post.
  • In this study, we build an empirical pricing measure for options directly from their underlying’s historical dynamics, requiring no market of option prices to calibrate against.
  • Because the construction requires no option-market input at any stage, it extends naturally to path-dependent payoffs.
This post is a followup to my previous posts on semiparametric option pricing. A link to the study (accepted for presentation at the osQF 2026 conference) is provided at the end of this post.

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