This Slideshare presentation by Professor Hernan Huwyler discusses a model to quantify compliance, legal, and contractual risks. It highlights the importance of understanding the impact of uncertainty on objectives and identifies mandatory and voluntary compliance objectives. The presentation discusses different techniques to quantify risks, such as heatmaps, risk matrices, common malpractice, scores, and escalation matrices, and the problems with these techniques, such as biases, incomplete data, and aggregation issues. The presentation proposes a compliance risk modeling approach, which involves understanding the distribution of events, consequences, impact, causes, and frequency of risks. It suggests using different probability distributions, such as log-normal, Pareto, normal, Poisson, Bernoulli, and triangular, to model risks. The presentation also discusses the chain of events that can lead to different types of losses, including penalties, compensations, fines, sanctions, legal and remediation costs, loss of customers, marketing depreciation, loss of licenses, and stock price. It explains different techniques to model losses, such as graphs, decision trees, Monte Carlo simulations, and calibrated estimates. Finally, the presentation highlights the importance of using different sources of risk data, including internal and external data, paid compensations, fines, and credits, fraud losses, legal fees, and complaints, and industry studies, enforcement trackers, and case analysis. It also provides examples of business cases related to compliance objectives and contractual clauses that set penalties for non-compliance. The presentation concludes with a demo of the proposed model to quantify compliance, legal, and contractual risks.