A numerical method for backward stochastic differential equations with applications in finance.

This thesis starts by discussing the foundations of mathematical finance and some theoretical results on backward stochastic differential equations. We discuss some examples of these equations in mathematical finance (primarily option pricing) and develop a numerical method that can approximate solutions to these equations. Subsequently, we...