Dynamic hedging with a deterministic local volatility function model

Abstract

ABSTRACT Estimation of a consistent volatility model of the underlying is crucial for option hedging. The authors illustrate that, compared to the implied/constant volatility method, a local volatility function method can estimate the underlying volatility from option prices more consistently. The result is more accurate hedge parameters and smaller hedging errors. The evidence provided includes an example where the underlying follows an absolute diffusion process, data from both the S&P 500 Index option market, and the S&P 500 futures option market.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 42 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.