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A flexible lattice framework for valuing options on assets paying discrete dividends and variable annuities embedding GMWB riders

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  • Paolo Angelis

    (University of Rome ‘La Sapienza’)

  • Roberto Marchis

    (University of Rome ‘La Sapienza’)

  • Antonio L. Martire

    (University of Rome ‘La Sapienza’)

  • Emilio Russo

    (University of Calabria)

Abstract

In a market where a stochastic interest rate component characterizes asset dynamics, we propose a flexible lattice framework to evaluate and manage options on equities paying discrete dividends and variable annuities presenting some provisions, like a guaranteed minimum withdrawal benefit. The framework is flexible in that it allows to combine financial and demographic risk, to embed in the contract early exercise features, and to choose the dynamics for interest rates and traded assets. A computational problem arises when each dividend (when valuing an option) or withdrawal (when valuing a variable annuity) is paid, because the lattice lacks its recombining structure. The proposed model overcomes this problem associating with each node of the lattice a set of representative values of the underlying asset (when valuing an option) or of the personal subaccount (when valuing a variable annuity) chosen among all the possible ones realized at that node. Extensive numerical experiments confirm the model accuracy and efficiency.

Suggested Citation

  • Paolo Angelis & Roberto Marchis & Antonio L. Martire & Emilio Russo, 2022. "A flexible lattice framework for valuing options on assets paying discrete dividends and variable annuities embedding GMWB riders," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 415-446, June.
  • Handle: RePEc:spr:decfin:v:45:y:2022:i:1:d:10.1007_s10203-022-00371-0
    DOI: 10.1007/s10203-022-00371-0
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    References listed on IDEAS

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    Cited by:

    1. Claudio Fontana & Francesco Rotondi, 2022. "Valuation of general GMWB annuities in a low interest rate environment," Papers 2208.10183, arXiv.org, revised Aug 2023.
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