Books

Books

Simulation Modeling Using @RISK: Updated for Version 4

[ReviewAZON asin=”053438059X”]With its understandable explanations of Monte Carlo and step-by-step instructions for Microsoft Excel, Lotus, and @Risk software, this text/software package offers both the instruction and the practice students need to begin solving complex business problems. It is designed for use as the primary learning tool in a short business simulation course (for advanced undergraduate and MBA students), or as a supplement to courses in investments, corporate finance, management science, marketing strategy, operations management, and actuarial science.[/ReviewAZON]

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Books

Simulation Modeling and Analysis

[ReviewAZON asin=”0071255192″]This authoritative, comprehensive and thoroughly revised text is designed for a one term or two quarter course in simulation taught at the senior or graduate level. It is offered in departments of industrial engineering, business, computer science and operations research. New features include an innovative chapter on simulation of manufacturing systems and an up-to-date treatment of simulation software and animation, with definitive coverage of model validation, input probability distribution and analysis of simulation output data.[/ReviewAZON]

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Books

Risk and Decision Analysis in Projects (Cases in project and program management series)

[ReviewAZON asin=”1880410281″]Is there anything more important to the success of a project than making good decisions? This skill is certainly at or near the top of the list. Yet, few of us have had formal training in decision making. Decision analysis is the discipline that helps people choose wisely under conditions of uncertainty. This book introduces risk and decision analysis applied to project management. Probability is the language of uncertainty. Fortunately, a few basic concepts in probability and statistics go a long way toward making better decisions. The evaluation calculations are straightforward, and many everyday problems can be solved with a handheld calculator. Schuyler also explains and demystifies key concepts and techniques, including expected value, optimal decision policy, decision trees, the value of information, Monte Carlo simulation, probabilistic techniques, modeling techniques, judgments and biases, utility and multi-criteria decisions, and stochastic variance.

Some of Schuyler’s tried-and-true tips include:

-The single-point estimate is almost always wrong, so that it is always better to express judgments as ranges. A probability distribution completely expresses someone’s judgment about the likelihood of values within the range.

-We often need a single-value cost or other assessment, and the expected value (mean) of the distribution is the only unbiased predictor. Expected value is the probability-weighted average, and this statistical idea is the cornerstone of decision analysis.

-Some decisions are easy, perhaps aided by quick decision tree calculations on the back of an envelope. Decision dilemmas typically involve risky outcomes, many factors, and the best alternatives having comparable value. We only need analysis sufficient to confidently identify the best alternative. As soon as you know what to do, stop the analysis!

-Be alert to ways to beneficially change project risks. We can often eliminate, avoid, transfer, or mitigate threats in some way. Get to know the people who make their living helping managers sidestep risk. They include insurance agents, partners, turnkey contractors, accountants, trainers, and safety personnel.[/ReviewAZON]

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Books

Risk Analysis: A Quantitative Guide

[ReviewAZON asin=”0470512849″]Risk Analysis 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.[/ReviewAZON]

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Books

Probability Methods for Cost Uncertainty Analysis : A Systems Engineering Perspective

[ReviewAZON asin=”0824789660″]A careful blend of theory and practice, this book presents a comprehensive approach to assessing the impact of unplanned events on the cost of engineering complex systems. It illustrates how probability theory is applied to model, measure, and manage risk in the cost of a systems engineering project. The book contains numerous mathematical and professional anecdotes, case studies, results, observations, and interpretations that clarify the challenges in cost risk analysis. It includes references, equations, and illustrations, provides theoretical and applied exercises, and uses examples and case discussions derived from systems engineering projects to describe key concepts.[/ReviewAZON]

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Books

Introduction to Risk Analysis: A Systematic Approach to Science-Based Decision Making

[ReviewAZON asin=”0865876967″]Written for safety and loss-control, environmental, and quality managers, this is the first comprehensive, integrated guide to developing a complete environmental risk analysis for regulated substances and processes. Unlike other books, Introduction to Risk Analysis looks at risk from a regulatory perspective, allowing both professionals in regulatory agencies concerned with risk_including OSHA, EPA, USDA, DOT, FDA, and state environmental agencies_and professionals in any agency-regulated industry to understand and implement the methods required for proper risk assessment.[/ReviewAZON]

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Books

Value at Risk, 3rd Ed.: The New Benchmark for Managing Financial Risk

[ReviewAZON asin=”0071464956″]

Since its original publication, Value at Risk has become the industry standard in risk management. Now in its Third Edition, this international bestseller addresses the fundamental changes in the field that have occurred across the globe in recent years. Philippe Jorion provides the most current information needed to understand and implement VAR-as well as manage newer dimensions of financial risk. Featured updates include:

  • An increased emphasis on operational risk
  • Using VAR for integrated risk management and to measure economic capital
  • Applications of VAR to risk budgeting in investment management
  • Discussion of new risk-management techniques, including extreme value theory, principal components, and copulas
  • Extensive coverage of the recently finalized Basel II capital adequacy rules for commercial banks, integrated throughout the book

    A major new feature of the Third Edition is the addition of short questions and exercises at the end of each chapter, making it even easier to check progress. Detailed answers are posted on the companion web site www.pjorion.com/var/. The web site contains other materials, including additional questions that course instructors can assign to their students.

    Jorion leaves no stone unturned, addressing the building blocks of VAR from computing and backtesting models to forecasting risk and correlations. He outlines the use of VAR to measure and control risk for trading, for investment management, and for enterprise-wide risk management. He also points out key pitfalls to watch out for in risk-management systems.

    The value-at-risk approach continues to improve worldwide standards for managing numerous types of risk. Now more than ever, professionals can depend on Value at Risk for comprehensive, authoritative counsel on VAR, its application, and its results-and to keep ahead of the curve.

    [/ReviewAZON]

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  • Books

    Operational Risk: Practical Approaches to Implementation

    [ReviewAZON asin=”1904339468″]Topical, innovative and highly practical, this authoritative new resource from Risk Books will help you successfully develop and enhance the operational risk function in your firm.

    Highly practical focus explains operational risk regulatory matters and specifically aids you with the practical implementation of an operational risk programme in your organisation.

    Provides easy access to the very latest thinking on Operational risk from the biggest names in the field including: Marco Moscadelli, Marcus Haas, Thomas Kaiser and Maurits Bakker.

    Collates the latest, most influential and ground-breaking work recently published in, among others, Operational Risk magazine.

    Makes it easy for first-timers to implement a regulatory compliance framework by providing an essential route-map that clearly shows you how to do this effectively and efficiently.

    Split into 4 easy access sections:

    1) Loss data collection and modelling – offers a range of novel, practical approaches to solve the notoriously complex challenges associated with the collection and modelling of internal and external loss data.
    2) Alternative measurement strategies – with detailed guidance on key risk indicators and scenario testing among other alternative tools, this section offers highly practical solutions informed by ‘real life’ situations.
    3) Conceptualising operational risk management – all about turning operational risk measurement into action – this section will help you conceptualise your op risk approach and outline an effective implementation strategy.
    4) Mitigation strategies – the ultimate goal of most operational risk strategies, here you will find a range of invaluable case-studies to provide a definitive assessment of the growing mitigation techniques available.[/ReviewAZON]

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    Books

    Operational Risk Modelling and Analysis: Theory and Practice

    [ReviewAZON asin=”1904339344″]The definitive journey into operational risk – this new multi-contributor title will guide you with the identification, modelling, implementation, analysis and integration of operational risk into your overall risk management framework.

    Enables you to make more informed decisions on how to identify and avoid the potential risks as well as fully understand the acceptable risks on a cost-benefit basis.

    Divided under three main sections: 1. Database Modelling, Regulatory and Technical Issues; 2. Risk Modelling and Measurement; 3. Case Studies of Implementation of Operational Risk Projects in Large Financial Institutions.

    Highlights integral issues such as how to spot the links between indicators of operational risk and the potential losses.

    Examines the tensions inherent in the nature of operational risk at both quantitative and qualitative levels.

    Outlines the practical day-to-day issues and illustrates workable methodologies with examples, case studies and cutting-edge analysis.

    Provides an even mix of both the progressive and in-depth research taking place in academic institutions as well as the actual practical implementation issues.

    Provides the tools to cope with differing and complex situations within operational risk.

    Edited by Marcelo Cruz, a world-renowned leading expert on operational risk modelling and measurement.[/ReviewAZON]

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