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Simulation of the drawdown and its duration in Lévy models via stick-breaking Gaussian approximation

Author

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  • Jorge González Cázares

    (University of Warwick and The Alan Turing Institute)

  • Aleksandar Mijatović

    (University of Warwick and The Alan Turing Institute)

Abstract

We develop a computational method for expected functionals of the drawdown and its duration in exponential Lévy models. It is based on a novel simulation algorithm for the joint law of the state, supremum and time the supremum is attained of the Gaussian approximation for a general Lévy process. We bound the bias for various locally Lipschitz and discontinuous payoffs arising in applications and analyse the computational complexities of the corresponding Monte Carlo and multilevel Monte Carlo estimators. Monte Carlo methods for Lévy processes (using Gaussian approximation) have been analysed for Lipschitz payoffs, in which case the computational complexity of our algorithm is up to two orders of magnitude smaller when the jump activity is high. At the core of our approach are bounds on certain Wasserstein distances, obtained via the novel stick-breaking Gaussian (SBG) coupling between a Lévy process and its Gaussian approximation. Numerical performance, based on the implementation in Cázares and Mijatović (SBG approximation. GitHub repository. Available online at https://github.com/jorgeignaciogc/SBG.jl (2020)), exhibits a good agreement with our theoretical bounds. Numerical evidence suggests that our algorithm remains stable and accurate when estimating Greeks for barrier options and outperforms the “obvious” algorithm for finite-jump-activity Lévy processes.

Suggested Citation

  • Jorge González Cázares & Aleksandar Mijatović, 2022. "Simulation of the drawdown and its duration in Lévy models via stick-breaking Gaussian approximation," Finance and Stochastics, Springer, vol. 26(4), pages 671-732, October.
    • Handle: RePEc:spr:finsto:v:26:y:2022:i:4:d:10.1007_s00780-022-00486-7
    DOI: 10.1007/s00780-022-00486-7
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    Cited by:

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    2. Ajay Jasra & Mohamed Maama & Aleksandar Mijatovi'c, 2024. "Modeling of Measurement Error in Financial Returns Data," Papers 2408.07405, arXiv.org.

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    More about this item

    Keywords

    Lévy models; Drawdown; Duration of drawdown; Barrier options; Gaussian approximation; Wasserstein and Kolmogorov bounds for maximum and the time maximum is attained; Simulation; Multilevel Monte Carlo;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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