Estimation of Value-at-Risk Using MCMC
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    Abstract:

    In order to overcome the limitations of Monte Carlo simulation method in computing VaR, i.e. high-dimensionality and static characteristics, this paper put forward a new method of Markov chain Monte Carlo(MCMC)simulation to improve the computing precision. And a computing example of US treasury bonds proved the advantage of MCMC.

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