• Identify the part of setting up a simulation in Excel that you find to be the most challenging, and explain why.

For example, if you are simulating stock prices over time, then you must know how stocks are priced (i.e. what factors affect their price) as well as any other external influences which may affect their price (such as macroeconomic conditions). This can be difficult to do because it requires an intimate knowledge of both the subject matter being simulated and its related fields in order to properly account for all these variables. Additionally, there can be a high degree of complexity involved since many systems have countless interacting parts which can be hard to account for accurately.

Moreover, once one has identified all the relevant parameters and assumptions needed for their simulation they still need to figure out how exactly they should go about implementing them into their Excel model so that it correctly captures reality while also remaining computationally efficient enough to run on a reasonable timescale (this usually involves making certain simplifying assumptions or using certain approximations). All this requires deep technical knowledge combined with a thorough understanding of the subject matter at hand -which makes this type of modeling extremely challenging even for experienced professionals.