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This is the third and final part of a lecture I gave at Leipzig University of Applied Sciences (HTWK) on Financial Modeling with Analytica in December 2014. The course was tailored for Master students in economics, showing them what is financial modeling and how we can create financial models that are transparent, easy to understand, flexible, and useful for running sensitivity analyses and Monte Carlo simulations—with Analytica. During the course the we built an Analytica model for a case study which I used to demonstrate key aspects like sensitivity and risk analysis. So the slides on these topics were just the opening for a live demo with the model and do not contain what I actually taught.