In a nutshell, Monte Carlo simulation uses random numbers to approximate the solutions to a variety of problems. For our purposes, these problems will generally involve trying to approximate complicated probability distributions for such problems as calculating: A portfolio’s value at risk (VaR) The probability that an investor will outlive her assets The probability that […]
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