Be sure to check out the knowledge base as well. The knowledge base contains shorter answers to commonly-asked questions.
This article walks through the process of adding Monte Carlo simulation analysis to an Excel spreadsheet with the RiskAMP Add-in.
This article describes the multivariate distributions and how to use them in your spreadsheets.
This article walks through using Monte Carlo simulation in project planning, with a worked example.
This article describes the beta-PERT distribution, used to model expert data (such as estimates from a project manager) in probability simulations.
What is Latin Hypercube Sampling, and how does it compare to standard random sampling?
This article discusses running simulations from VBA, the VBA function library, and how to execute VBA code at each trial of a simulation.
This spreadsheet illustrates general uses of the RiskAMP Add-in in modeling investment returns and project planning.
This spreadsheet demonstrates a simple retirement portfolio, with an analysis of the portfolio risk based on a fixed annual withdrawal.
This spreadsheet models a retirement plan prior to retirement, with a period of fixed contribution to the portfolio followed by a retirement period with a constant annual withdrawal amount.
A comparison of two portfolios over 25 periods.
This spreadsheet models conditional risks or conditional revenue opportunitues, each with a probability of occurrence and a distribution of possible outcomes.
This example demonstrates the use of bivariate correlated normal values using the CorrelatedNormalValue function.
This example demonstrates the correlated multivariate distribution functions. The example is described in detail in this article.
This spreadsheet demonstrates the practical application of the multivariate normal function to create a 10-year portfolio model containing a weighted mix of correlated asset classes.
This is an example of modeling interest rates. The spreadsheet uses the Cox-Ingersoll-Ross model to sample interest rates over multiple discrete periods.
This spreadsheet illustrates estimating value at risk (VaR) with the RiskAMP add-in. Based on the gain or loss from a spreadsheet model, VaR can be estimated easily with the SimulationPercentile function.
This whitepaper is an overview of Monte Carlo simulations, and discusses the situations that can take advantage of risk management and stochastic analysis.
The RiskAMP help manual is installed with the RiskAMP Add-in and is accessible from Excel to provide online help. More recent versions of Windows may need to install HTML help software.
The user guide is an overview of the functions and concepts used in the RiskAMP Add-in.
The reference guide includes detailed information about the probability distributions provided with the RiskAMP Add-in.