This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask.
Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development.
Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks.
This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit.
With a foreword by Catherine Veret and an introduction by Kevin Knight.
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LAURENT CONDAMIN is engineer of the French Grande Ecole “Ecole Centrale de Paris”, PhD in Applied Mathematics and Associate in Risk Management (Insurance Institute of America). He is currently partner and managing director of Elseware where he makes consultancy on risk modelling in top leading companies.
JEAN-PAUL LOUISOT is a civil engineer, Master in Economics, Master in Business Administration (Kellog, 1972) and Associate in Risk Management. He has spent more than thirty years of his career to service private and public entities helping them manage their risks and coach their risk managers and executives. As director for the CARM_institute, Ltd, he is in charge of the professional designations ARM and EFARM. As a Professor at Panthéon/Sorbonne University, he teaches a postgraduate course in Risk Management. Jean-Paul teaches also in various Engineering Schools and MBA programs. Previous publications include Exposure Diagnostic (AFNOR – 2004) and 100 Questions to understand Risk Management (AFNOR – 2005).
PATRICK NAIM graduated from Ecole Centrale de Paris, and Associate in Risk Management (ARM). He is the founder and CEO of Elseware, a consulting company specialising in quantitative modelling and risk quantification. He also teaches data modelling and Bayesian Networks in several universities and engineering schools in France. He is author of several books in the field of quantitative modelling.
This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask.
Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development.
Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks.
This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit.
"This insightful and pertinent work categorically provides the fundamental quantification tools for the executive community to address what has become one of the major corporate issues of the 21st century, risk management. It succinctly clarifies the functions and definitions, incorporating global views and methodology, to provide an effective compass in risk quantification. This comprehensive resource will serve as an essential tool for risk management worldwide."
―Patrick W. Kenny, President and CEO, International Insurance Society
"This book offers a much needed contribution to the practice of risk management....the authors offer a practical as well as prospective insight into risk quantification."
―Catherine Veret, Corporate risk and insurance director – CM-CIC, Chair of RMSF-Risk Manager Sans Frontière
"Professor Jean-paul Louisot and his collegues Laurent Condamin and Patrick Naim are to be congratulated for this excellent work that equips the reader with a sound understanding of the tools available for the quantification of risk. They provide risk management practitioners with a most stimulating resource that will enable them to enter constructive discussions with management as well as consultants so as to ensure the decision maker is presented with soundly based options from which to choose."
―Kevin W. Knight CPRM; Hon FRMIA; FIRM (UK), Chairman ISO Working Group on Risk Management
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Zustand: New. This book equips the reader with a thorough understanding of the basic tools and techniques of risk quantification. It describes the three-step process of diagnosis, reduction, and financing and provides tools and score cards for risk assessment. The important topics of Monte Carlo simulation and Bayesian belief networks are also covered. Series: Wiley Finance Series. Num Pages: 286 pages, Illustrations. BIC Classification: KFFM. Category: (P) Professional & Vocational. Dimension: 249 x 175 x 22. Weight in Grams: 698. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780470019078
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