 We propose a new estimator of VaR contributions , that utilizes Markov chain Monte Carlo (MCMC) method. Unlike the existing estimators, our MCMC-based estimator is computed by samples of conditional loss distribution given the rare event of our interest.
<fluency>  We propose a new estimator of VaR contributions , that utilizes Markov chain Monte Carlo (MCMC) method. Unlike the existing estimators, our MCMC-based estimator is computed by samples of conditional loss distribution given the rare event of our interest.
 We propose a new estimator of VaR contributions , that utilizes Markov chain Monte Carlo (MCMC) methods. Unlike existing estimators, our MCMC-based estimator is computed by samples of conditional loss distribution given the rare event of our interest.