Monte Carlo Simulation of Risk

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Contents

Abstract

”To dare is to lose one’s footing momentarily. To not dare is to lose oneself” - Søren Kierkegaard

Staying dynamic is a means of survival in today’s modern society, thus the expression the burning platform. In order for companies to stay competitive and sustain their businesses, they have to either become cost leaders or product leaders i.e. innovative. In order to realize this, companies have to dive into new areas of business, explore new possibilities in terms of evolving their products and/or processes. During the process of exploring and maintaining dynamism, uncertainty is inevitable due to the respective volatile nature of the markets within which the diverse companies operate in. Companies can’t foresee the future, hence don’t know how their respective markets will react to their new ways of doing business, new products or on the other hand if they are resilient enough to sustain unexpected drawbacks when exploring new paths. Thus it can be concluded that risk is incorporated in the DNA of any project, program or portfolio management, therefore “Risk Management” is a necessity for companies to continuously embark when exploring new dimensions in order to mitigate risk and suppress their corresponding consequences. There are several ways in which risk management can be conducted. This article provides a profound description of how to conduct a quantitative risk assessment by means of utilizing Monte Carlo simulations. Risk is random since its uncertain thus Monte Carlo Simulations are utilized to simulate it by means of a probability distribution.

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Risk

Risk Management

Qualitative risk assessment

Quantitative risk assessment

Monte Carlo Simulation

Methodology

Data source

Data fitting

Probability Distribution

Random Variable

Discrete or continuous

Bounded or non-bounded

Parametric or non-parametric

Simulation

Tools (software)

@Risk

Latin Hyper cube (LHC)

comparison

Example

Strengths and weaknesses

Personal tools
Namespaces

Variants
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