Engineering risk -- Risk management everywhere -- Probability elements: an applied refresher -- Multivariate probability distributions: applications and risk models -- Temporal risk processes -- Risk measurement -- Risk valuation -- Risk economics and mult-agent CCAPM -- Risk pricing models: applications -- Uncertainty economics -- Strategic risk control and regulation -- Games, risk and uncertainty
Summary
Risk models are models of uncertainty, engineered for some purposes. They are "educated guesses and hypotheses" assessed and valued in terms of well-defined future states and their consequences. They are engineered to predict, to manage countable and accountable futures and to provide a frame of reference within which we may believe that "uncertainty is tamed". Quantitative-statistical tools are used to reconcile our information, experience and other knowledge with hypotheses that both serve as the foundation of risk models and also value and price risk
