Option theory and modeling under uncertainty

Within the framework of some simple models, we explain how option theory can enhance the understanding and teaching of modeling under uncertainty. We discuss some common pitfalls in modeling and argue that these result from a failure to come to grips with options and flexibility. We examine a dynamic programming approach to evaluating options and a valuation by arbitrage approach and end by comparing the two approaches with respect to how they treat time and risk.