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Enterprises face a multitude of financial and operational risks that must be quantified and managed systematically to ensure sustainability and growth. Quantitative models provide the analytical foundation for effective decisionmaking under uncertainty. Quantitative Enterprise Risk Management offers an indepth look at statistical and mathematical methods for identifying, measuring, and mitigating risk. The book covers probability modeling, valueatrisk, stress testing, and scenario analysis, along with applications in finance, insurance, and corporate strategy. It also emphasizes datadriven governance and risk culture. By combining theoretical rigor with industry practices, it serves as an essential reference for analysts, managers, and students in risk management and business analytics.
