Should Practitioners Apply a Truncated Process for Pricing and Hedging?
ABSTRACT This paper implements the deterministic volatility function (DVF) in the context of the truncated Black‐Scholes (TBS) model, which is identified as the truncated practitioners' Black‐Scholes (PTBS) model, and compares the pricing and hedging performance with the Black‐Scholes (BS), TBS, practitioners' BS (PBS) models. Using the S&P500 index call options data, we find that the PTBS model outperforms all in‐sample and out‐of‐sample regardless of moneyness. On weekly counts, the success rates of the PTBS model are significantly higher for both the in‐the‐money (ITM) and out‐of‐the‐money (OTM) options. The weekly approximation errors of delta and delta‐gamma approximations against full valuation for the PTBS model are lower than those of other models, and the PTBS model is more accurate and stable. The findings are robust to alternative sample variations.
Authors
- M. Kabir Hassan (ORCID: https://orcid.org/0000-0001-6274-3545)
- Sharif Mozumder (ORCID: https://orcid.org/0000-0001-9681-9608)
- M. Humayun Kabir (ORCID: https://orcid.org/0000-0003-2697-2193)
- Ghulam Sorwar (ORCID: https://orcid.org/0000-0001-8778-7966)
- Farzana Afroz (ORCID: https://orcid.org/0009-0003-3311-2148)
Institutions
- University of New Orleans (US)
- University of Dhaka (BD)
- University of Asia Pacific (BD)
- Massey University (NZ)
- Keele University (GB)
Publication Details
- Journal
- International Journal of Finance & Economics
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1002/ijfe.70050
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00