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Pricing and Disentanglement of American Puts in the Hyper-Exponential Jump-Diffusion Model

Author

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  • Markus LEIPPOLD

    (University of Zurich and Swiss Finance Institute)

  • Nikola VASILJEVIC

    (University of Zurich and Swiss Finance Institute (PhD Program))

Abstract

We analyze American put options in a hyper-exponential jump-diffusion model. Our contribution is threefold. Firstly, by following a maturity randomization approach, we solve the partial integro-differential equation and obtain a tight lower bound for the American option price. Secondly, our method allows us to disentangle the contributions of jump and diffusion for the American early exercise premium. Finally, using American-style options on S&P 100 index from 2007 until 2013, we estimate a range of hyper-exponential specifications and investigate the implications for option pricing and jump-diffusion disentanglement. We find that jump risk accounts for a large part of early exercise premium.

Suggested Citation

  • Markus LEIPPOLD & Nikola VASILJEVIC, 2015. "Pricing and Disentanglement of American Puts in the Hyper-Exponential Jump-Diffusion Model," Swiss Finance Institute Research Paper Series 15-08, Swiss Finance Institute, revised Mar 2015.
    • Handle: RePEc:chf:rpseri:rp1508
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    More about this item

    Keywords

    American options; early exercise premium; hyper-exponential jump-diffusion model; maturity randomization; jump-diffusion disentanglement;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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