Systemic Risk – A Case Study on Different Quantitative Modeling Techniques 

Josh Wargo, Mason Lavinder, and James Waring from MPR Associates unpacks systemic risk.

Systemic risk refers to uncertainties that are an artifact of an industry, company, project system, culture, technology or similar over-arching characteristics.

Quantifying systemic risk can depend on a multitude of factors, including project maturity level, complexity, historical data, and functional or human nature.

This session presented a case study examination of an example capital project and various methods and considerations for integrating systemic risk contributions into the contingency budget.

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