Characterizing banks as "risk machines," Bessis (finance, HEC School of Management, Paris) presents a risk management toolbox for quantifying, monitoring, and hopefully controlling the spectrum of risks that challenge financial institutions. In a modular approach to banking risks, regulations (applicable to internationally active banks in the G10 countries), and management processes, he discusses and graphically charts the underlying concepts and statistical and econometric models yielding risk-return profiles, plus their application. Includes an example of portfolio loss distributions, and a substantial bibliography. The author is in charge of risk analytics at a French firm.