Probabilistic tools, together with a variety of methods from stochastic, functional and convex analysis and partial differential equations are routinely used in mathematical finance and economics; in fact, the field draws from a host of other mathematical disciplines to accomplish its goals. Prior advances in this field have not only made a huge impact on the practice of finance and regulation, but have also inspired a number of breakthroughs in related areas of mathematics traditionally regarded as theoretical. In this workshop, we bring together a group of experts and young researchers in various sub-areas of mathematical finance and economics, with a special focus on those whose work draws heavily on stochastic analysis. Our goal is to foster a free interchange of ideas and facilitate sharing of some of the recent results in this challenging field.