During the 1993-1999 period, risk analytics shifts from single-number estimations toward probabilistic reasoning and coherent risk measurement. Foundational work establishes that risk metrics should satisfy properties such as monotonicity, translation invariance, sub-additivity, and positive homogeneity, creating a unified framework for evaluating market and non-market risks. Monte Carlo methods are recognized for their flexibility, yet their limitations are highlighted, prompting cautious application and the exploration of complementary approaches. A strong strand emphasizes probabilistic risk assessment to replace single-point risk estimates with distributions, thereby clarifying uncertainty in decision-making. Efforts to combine probability distributions from expert judgment become central to risk analysis, while real-options thinking enriches the valuation of risky projects and informs risk-aware capital budgeting. Collectively, these developments knit together statistical, behavioral, and managerial perspectives into a more integrative risk analytics practice.