Valuation of a hypothetical mining project under commodity price and exchange rate uncertainties by using numerical methods

One of the goals presented here is the use of a radial basis function (RBF) method to approximate the numerical values of a gold mining project. RBFs have many attractive features compared to implicit finite differences method (FDM) and explicit FDM. They are mesh-free, computationally more efficient in high dimensions, and very accurate. In other words, the model is more comprehensive, and results are more accurate compared to the previous works. This paper compares accuracy of the RBF method with that of the implicit method (FDM) in this case study. The results indicate that convergence order of the RBF is higher than that of the implicit method. Also, this paper compares the results of the RBF method with those of implicit method for various scenarios. The most important goal presented here is combining exchange rate uncertainty together with commodity price (spot price) uncertainty. In fact, this paper tries to address this question: how can we model the exchange rate volatility and the correlation coefficient between returns of commodity price and exchange rate in assessing a gold mining project. Considering the disadvantages of the Discounted Cash Flow (DCF) method which does not use uncertainties, the approach presented here makes use of real options valuation for a gold mine project valuation.