This book concerns itself with the quantification of risk, the modeling of identified risks and how to make decisions from those models. Quantitative risk analysis (QRA) using Monte Carlo simulation offers a powerful and precise method for dealing with the uncertainty and variability of a problem. By providing the building blocks the author guides the reader through the necessary steps to produce an accurate risk analysis model and offers general and specific techniques to cope with most modeling problems. A wide range of solved problems is used to illustrate these techniques and how they can be used together to solve otherwise complex problems.
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<p>Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the <i>Market Risk Analysis</i> four volume set. Building on the three previous volumes this book provides by far the most...
kr 899.00
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This book covers all project appraisal methods namely NPV, IRR, BC Ratio, Payback Period and Cost-Effectiveness methods, scale analysis to decide optimum investment, decision about optimum time to invest as well as close a project, effects of inflation...
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Offers a shift in the existing paradigm for conducting reliability analyses. This book covers risk-based reliability analysis and generic principles for reducing risk. It provides a measure of risk based on the distribution of the potential losses from...
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