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True Upper Bounds For Bermudan Products Via Non‐Nested Monte Carlo

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  • Denis Belomestny
  • Christian Bender
  • John Schoenmakers

Abstract

We present a generic non‐nested Monte Carlo procedure for computing true upper bounds for Bermudan products, given an approximation of the Snell envelope. The pleonastic “true” stresses that, by construction, the estimator is biased above the Snell envelope. The key idea is a regression estimator for the Doob martingale part of the approximative Snell envelope, which preserves the martingale property. The so constructed martingale can be employed for computing tight dual upper bounds without nested simulation. In general, this martingale can also be used as a control variate for simulation of conditional expectations. In this context, we develop a variance reduced version of the nested primal‐dual estimator. Numerical experiments indicate the efficiency of the proposed algorithms.

Suggested Citation

  • Denis Belomestny & Christian Bender & John Schoenmakers, 2009. "True Upper Bounds For Bermudan Products Via Non‐Nested Monte Carlo," Mathematical Finance, Wiley Blackwell, vol. 19(1), pages 53-71, January.
    • Handle: RePEc:bla:mathfi:v:19:y:2009:i:1:p:53-71
    DOI: 10.1111/j.1467-9965.2008.00357.x
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    References listed on IDEAS

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