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.

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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
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article

Should Practitioners Apply a Truncated Process for Pricing and Hedging?

M. Kabir Hassan, Sharif Mozumder, M. Humayun Kabir, Ghulam Sorwar et al.
International Journal of Finance & Economics
Stochastic processes and financial applications
article

Should Practitioners Apply a Truncated Process for Pricing and Hedging?

M. Kabir Hassan, Sharif Mozumder, M. Humayun Kabir, Ghulam Sorwar, Farzana Afroz
article en

Abstract

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.

International Journal of Finance & Economics
University of New Orleans (US), University of Dhaka (BD), University of Asia Pacific (BD), Massey University (NZ), Keele University (GB)
Openalex Percentile: Top 67%
Stochastic processes and financial applications
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