In the previous notes, I have prepared 1) the expected return and volatility of investment targets and 2) two mutually correlated random numbers following a standard normal distribution, which are ...

Monte Carlo simulation is a statistical technique used to model and understand the impact of risk and uncertainty in prediction and decision-making processes. It relies on repeated random sampling to ...

First, before looking at the results of the Monte Carlo simulation, let's look back again at what is commonly referred to as "simulation" in the world. The first result I saw in my previous note, ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 51, No. 1 (2002), pp. 31-40 (10 pages) The paper demonstrates the use of functions provided by EXCEL for simulation of two ...

SimSci-Esscor Inplant 4.1 simulation software, a program that simulates multiphase flow in plant utility and relief networks, provides the flexibility to model applications ranging from a depressuring ...