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risk quantification: management, diagnosis and hedging
laurent condamin, jean-paul louisot, patrick nam
Synopsis "risk quantification: management, diagnosis and hedging"
the book aims to equip the reader with a sound understanding of the tools available for assessing exposure to risk i.e. quantifying both the probability of the event, frequency of the event or the likeliness of it occurring. after reading the book any reader should be able to use them appropriately or, at least be able to enter into a constructive dialogue with a consultant. the book takes a similar approach to other risk management approaches in that it is a multi-step framework based on quantification and financing but the authors focus on quantification as the essential component of the process rather than management. the authors also incorporate operational decisions, internal ownership of risks and corporate governance, which are all very timely. the first part of the book describes the foundations of risk management as a 3-step process: diagnosis, reduction and financing. it shows why quantifying risk is crucial in all steps and discusses a practical approach to the problem based on experience rather than statistical analysis. the second part of the book gives a tried and tested tool box for quantifying risk, it gives score cards for key risk indicator assessments, monte carlo simulation for the risk generating process and bayesian belief networks for synthesis. part 3 then shows how to apply the toolbox to the three steps of risk management illustrated with case studies. one of the main cases is used as a reference throughout the book.
