2013Journal of Beijing University of Chemical TechnologyRequires access

On pricing discrete barrier options using the Monte Carlo method

Teng Xu

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Abstract

The Monte Carlo method has been applied in pricing discrete barrier options and a variety of variance reduction techniques have been used.The dual sampling method,conditional expectation method and importance sampling method have been combined in order to price the discrete barrier options.Furthermore,a numerical example is given to analyze the variance reduction efficiency of the different kinds of variance reduction techniques.The result shows that the method combining dual sampling,conditional expectation and importance sampling gives a robust price for discrete barrier options.

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What this paper is about

The Monte Carlo method has been applied in pricing discrete barrier options and a variety of variance reduction techniques have been used.The dual sampling method,conditional expectation method and importance sampling method have been combined in order to price the discrete barrier options.Furthermore,a numerical example is given to analyze the variance reduction efficiency of the different kinds of variance reduction techniques.The result shows that the method combining dual sampling,conditional expectation and importance sampling gives a robust price for discrete barrier options.

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Available abstract

The Monte Carlo method has been applied in pricing discrete barrier options and a variety of variance reduction techniques have been used.The dual sampling method,conditional expectation method and importance sampling method have been combined in order to price the discrete barrier options.Furthermore,a numerical example is given to analyze the variance reduction efficiency of the different kinds of variance reduction techniques.The result shows that the method combining dual sampling,conditional expectation and importance sampling gives a robust price for discrete barrier options.

Key concepts: Variance reduction, Importance sampling, Monte Carlo method, Sampling (signal processing), Variance (accounting), Reduction (mathematics), Dual (grammatical number), Control variates

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