MONTE CARLO SIMULATION IN BUSINESS RISK ASSESSMENT

Abstract

Monte Carlo simulation is a powerful quantitative technique used for risk assessment in business, helping organizations evaluate uncertainty and make informed decisions. By generating a range of possible outcomes through random sampling and statistical modeling, Monte Carlo simulation provides a deeper understanding of potential risks and the likelihood of various outcomes. This article explores the application of Monte Carlo simulation in business risk assessment, focusing on its ability to model complex systems, predict financial performance, and assess project risks. Through an in-depth review of its methods, tools, and case studies, the article demonstrates how Monte Carlo simulation can enhance decision-making by enabling businesses to quantify uncertainty, optimize resource allocation, and improve risk management strategies.