Backward stochastic differential equations are a special type of stochastic differential equations, in which the terminal value is already given, that are used in financial models, economic problems, stochastic control, stochastic differential games, etc. In this thesis we are going to look at the conditions under which there is a unique solution for the backward stochastic differential equations and some examples from finance. Then we will define stochastic control and two main methods with which we can solve it. These methods are dynamic programming and Pontryagin stochastic maximum principle. At the end, we will take a look at the connection between backward stochastic differential equations and stochastic control.
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