Which is the right option for Indian market: Gaussian, normal inverse Gaussian, or Tsallis?
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RAVI aNSHUMAN V. IIMB Management ReviewSummary: This paper models Nifty spot prices using frameworks based on Gaussian distribution (geometric Brownian motion) and non-Gaussian distributions, viz. normal inverse Gaussian (NIG), and Tsallis distributions, to investigate which model best captures the underlying dynamics. The simulation results suggest that Tsallis outperforms the Gaussian model and NIG in predicting the Nifty spot prices. Amongst the non-Gaussian models, Tsallis better captures the behaviour of Nifty spot prices than NIG distribution. Based on our findings, we conclude that non-Gaussian option pricing frameworks to price Nifty options are likely to give better results over the traditional class of Gaussian models.
| Item type | Current library | Call number | Vol info | Status | Notes | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
Journal Article
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Main Library | Vol 31, Issue 3/ 55511085JA2 (Browse shelf(Opens below)) | Available | 55511085JA2 | |||||
Journals and Periodicals
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Main Library On Display | JRNL/GEN/Vol 31, Issue 3/55511085 (Browse shelf(Opens below)) | Vol 31, Issue 3 (30/01/2019) | Not for loan | September, 2019 | 55511085 |
This paper models Nifty spot prices using frameworks based on Gaussian distribution (geometric Brownian motion) and non-Gaussian distributions, viz. normal inverse Gaussian (NIG), and Tsallis distributions, to investigate which model best captures the underlying dynamics. The simulation results suggest that Tsallis outperforms the Gaussian model and NIG in predicting the Nifty spot prices. Amongst the non-Gaussian models, Tsallis better captures the behaviour of Nifty spot prices than NIG distribution. Based on our findings, we conclude that non-Gaussian option pricing frameworks to price Nifty options are likely to give better results over the traditional class of Gaussian models.
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