Singh, Vipul Kumar and Kumar, Pawan (2024) Effectiveness of deterministic option pricing models: new evidence from Nifty and Bank Nifty Index options. Journal of Asset Management, 25 . pp. 172-189. ISSN 1479-179X
Abstract
This research delves into the empirical performance of deterministic option pricing models in the dynamic financial landscape of India. The primary focus is on uncovering pricing discrepancies and discerning whether these disparities arise from inherent limitations in the theoretical foundations of the models or are influenced by the trading behaviors of market participants. The investigation centers on the analysis of call and put option contracts for the Nifty Index and Bank Nifty Index, both extensively traded on the National Stock Exchange (NSE) of India. The study’s findings highlight that models developed to address the theoretical constraints of the benchmark Black–Scholes model demonstrate noteworthy performance. However, the complexity of these models does not consistently translate into enhanced pricing efficiency. Notably, the Black–Scholes and Practitioner Black–Scholes models exhibit superior performance across various moneyness-maturity categories. Furthermore, the research underscores the substantial impact of option contract liquidity on the efficiency of the pricing models. Specifically, highly traded at-the-money and out-of-the-money option contracts exhibit a higher level of pricing accuracy.
Metadata
| Item Type: | Article (Published) |
|---|---|
| Refereed: | Yes |
| Uncontrolled Keywords: | Black–Scholes, CEV model, Gram–Charlier, Nifty Index, options, practitioner Black–Scholes, volatility. |
| Subjects: | Business > Electronic commerce Business > Finance |
| DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
| Publisher: | Palgrave Macmillan Ltd. |
| Official URL: | https://link.springer.com/article/10.1057/s41260-0... |
| Copyright Information: | Authors |
| ID Code: | 32780 |
| Deposited On: | 09 Jun 2026 14:42 by Tam Nguyen . Last Modified 09 Jun 2026 14:42 |
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