Non-linear volatility with normal inverse Gaussian innovations: ad-hoc analytic option pricing
Sharif Mozumder (),
Bakhtear Talukdar (),
M. Humayun Kabir () and
Bingxin Li ()
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Sharif Mozumder: University of Dhaka
Bakhtear Talukdar: Department of Finance and Business Law, University of Wisconsin-Whitewater
M. Humayun Kabir: Massey University Business School
Bingxin Li: West Virginia University
Review of Quantitative Finance and Accounting, 2024, vol. 62, issue 1, No 4, 97-133
Abstract:
Abstract This paper proposes an approximate closed-form option-pricing model based on a non-linear GARCH process with Normal Inverse Gaussian (NIG) Lévy innovations. We develop the mathematical framework and demonstrate how to obtain a closed-form solution to the option price when the return dynamics are characterized by NIG innovations for volatility that follow a non-linear GARCH process. Using a sample of S&P 500 index options, we calibrate the proposed model alongside popular existing models. Overall, from a unified comparison of various analytic pricing approaches, we find that our model performs significantly better than existing models, both in-sample and out-of-sample.
Keywords: Lévy innovations; Stochastic volatility; GARCH; Calibration; NIG (search for similar items in EconPapers)
JEL-codes: G12 G13 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:kap:rqfnac:v:62:y:2024:i:1:d:10.1007_s11156-023-01195-8
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DOI: 10.1007/s11156-023-01195-8
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