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How Risk Aware Are A Group Of Foundation Stage 1 Children In An Unfamiliar Natural Environment

Author : Denesha George
ISBN : OCLC:982687425
Genre :
File Size : 31. 60 MB
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Enterprise Risk Management

Author : John Fraser
ISBN : 9780470499085
Genre : Business & Economics
File Size : 28. 9 MB
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If you want to understand enterprise risk management (ERM) from some of the leading academics and practitioners of this exciting new methodology, Enterprise Risk Management—part of the Robert W. Kolb Series in Finance—is the book for you. Through in-depth insights into what practitioners of this evolving business practice are actually doing as well as anticipating what needs to be taught on the topic, John Fraser and Betty Simkins have sought out the leading experts in this field to clearly explain what enterprise risk management is and how you can teach, learn, and implement these leading practices within the context of your business activities. With this book, the authors take a broad view of risk management, or what is generally called a holistic approach to ERM. Enterprise Risk Management introduces you to a wide range of concepts and techniques for managing risk in a holistic way that correctly identifies risks and prioritizes the appropriate responses. This invaluable guide offers a broad overview of the different techniques: the role of the board, risk tolerances, risk profiles, risk workshops, and allocation of resources, while focusing on the principles that determine business success. This comprehensive resource also provides a thorough introduction to enterprise risk management as it relates to credit, market, and operational risk, as well as the evolving requirements of the rating agencies and their importance to overall risk management in a corporate setting. Filled with helpful exhibits and examples, Enterprise Risk Management offers a wealth of knowledge on the drivers, techniques, and benefits involved in successfully implementing enterprise risk management. Chapter by chapter, this book: Discusses the history of risk management and more recently developed enterprise risk management practices, and how you can prudently implement these techniques within the context of your underlying business activities Provides coverage of topics such as the role of the chief risk officer, the use of anonymous voting technology, and risk indicators and their role in risk management Explores the culture and practices of enterprise risk management without getting bogged down by the mathematics surrounding the more conventional approaches to financial risk management This informative guide will put the evolving methodology of enterprise risk management—which has been described as a proxy for good management—in perspective and help you unlock its incredible potential.

Risk Awareness And Corporate Governance

Author : Brian Coyle
ISBN : 1845160622
Genre : Business & Economics
File Size : 64. 93 MB
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* Up to date and detailed * With the collapses of Enron and WorldCom, this has become a hot topic * Related specifically to banking and finance Revelations about Enron and WorldCom have raised huge concerns over the viability or plain lack of will among some major corporations to exercise proper governance of their exposure to risk, financial reporting and other corporate activities. This manual is an advanced guide to the principles of risk awareness and management and provides an analysis of the requirements of corporate law and directors' responsibilities. Advanced students of management in financial services and mid-level managers who hope to advance will find this a valuable resource.

Risk Aware

Author : Amelia C. Gormley
ISBN : 1626494126
Genre : Fiction
File Size : 65. 82 MB
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Tattoo artist Geoff Gilchrest is convinced his life is some sort of cosmic joke. Why else would a hemophiliac also be a masochist? He's given himself more than one elbow bleed since puberty just doing what guys do when alone and bored, so forget about whips and chains. How many partners would contemplate playing with someone even a mild flogging could kill? Gallery owner Robin Brady knows he can deliver what Geoff needs: to be taken to the edge of danger but never beyond. But Robin came to Saugatuck to get away from the leather scene and heal from a betrayal by his former sub, so he's not sure he should get involved with Geoff. His ambivalence isn't helped by the fact that Geoff's unwillingness to communicate about his well-being hits Robin in some very raw places. Geoff's hemophilia isn't the obstacle he thinks it is. Instead, a lack of trust-on both their parts-is what could end them before they have a chance to begin.

Stochastic Programming Approaches For Risk Aware Supply Chain Network Design Problems

Author : Stefan Nickel
ISBN : OCLC:837761114
Genre :
File Size : 52. 66 MB
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Enterprise Risk Management

Author : James Lam
ISBN : 0471430005
Genre : Business & Economics
File Size : 45. 99 MB
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Enterprise risk management is a complex yet critical issue that all companies must deal with as they head into the twenty-first century. It empowers you to balance risks with rewards as well as people with processes. But to master the numerous aspects of enterprise risk management, you must first realize that this approach is not only driven by sound theory but also by sound practice. No one knows this better than risk management expert James Lam. In Enterprise Risk Management: From Incentives to Controls, Lam distills twenty years' worth of experience in this field to give you a clear understanding of both the art and science of enterprise risk management. Organized into four comprehensive sections, Enterprise Risk Management offers in-depth insights, practical advice, and real world case studies that explore every aspect of this important field. Section I: Risk Management in Context lays a solid foundation for understanding the role of enterprise risk management in today’s business environment. Section II: The Enterprise Risk Management Framework offers an executive education on the business rationale for integrating risk management processes. Section III: Risk Management Applications discusses the applications of risk management in two dimensions–functions and industries. Section IV: A Look to the Future rounds out this comprehensive discussion of enterprise risk management by examining emerging topics in risk management with respect to people and technology. JAMES LAM is President of James Lam & Associates, an independent risk advisory firm. Before starting his own firm, Lam was founder and president of ERisk and partner of Oliver, Wyman & Company. In 1997, as chief risk officer at Fidelity Investments, he was named the first-ever Financial Risk Manager of the Year by the Global Association of Risk Professionals. Prior to Fidelity, he was chief risk officer of Capital Markets Services, Inc., a GE Capital Company. Lam graduated with honors from Baruch College and received his MBA from UCLA. He is also currently an Adjunct Professor of Finance at Babson College.

Fundamentals Of Risk Management

Author : Paul Hopkin
ISBN : 9780749465407
Genre : Business & Economics
File Size : 37. 16 MB
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Now more than ever, organizations must plan, response and recognize all forms of risks that they face. Fundamentals of Risk Management, now in its second edition, provides a comprehensive introduction to the subject of commercial and business risk for anyone studying for a career in risk as well as a broad range of risk professionals. It examines the key components of risk management and its application with examples to demonstrate its benefit to organisations in the public and private sector. The second edition has been completely updated to take into account the greater influence of ISO 3100, the emergence of Governance Risk and Compliance (GRC) and the wide use of the bowtie method to illustrate risk management. In addition, there is now a chapter on the skills and competencies required by an effective risk manager.

A Proactive Risk Aware Robotic Sensor Network For Critical Infrastructure Protection

Author : Jamieson McCausland
ISBN : OCLC:875225678
Genre : University of Ottawa theses
File Size : 29. 30 MB
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In this thesis a Proactive Risk-Aware Robotic Sensor Network (RSN) is proposed for the application of Critical Infrastructure Protection (CIP). Each robotic member of the RSN is granted a perception of risk by means of a Risk Management Framework (RMF). A fuzzy-risk model is used to extract distress-based risk features and potential intrusion-based risk features for CIP. Detected high-risk events invoke a fuzzy-auction Multi-Robot Task Allocation (MRTA) algorithm to create a response group for each detected risk. Through Evolutionary Multi-Objective (EMO) optimization, a Pareto set of optimal robot configurations for a response group will be generated using the Non-Dominating Sorting Genetic Algorithm II (NSGA-II). The optimization objectives are to maximize sensor coverage of essential spatial regions and minimize the amount of energy exerted by the response group. A set of non-dominated solutions are produced from EMO optimization for a decision maker to select a single response. The RSN response group will re-organize based on the specifications of the selected response.

Multi Agent Modeling Of Risk Aware And Privacy Preserving Recommender Systems

Author : Vishnu Srivastava
ISBN : OCLC:988120499
Genre : Recommender systems (Information filtering)
File Size : 80. 2 MB
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Recent progress in the field of recommender systems has led to increases in the accuracy and significant improvements in the personalization of recommendations. These results are being achieved in general by gathering more user data and generating relevant insights from it. However, user privacy concerns are often underestimated and recommendation risks are not usually addressed. In fact, many users are not sufficiently aware of what data is collected about them and how the data is collected (e.g., whether third parties are collecting and selling their personal information). Research in the area of recommender systems should strive towards not only achieving high accuracy of the generated recommendations but also protecting the user's privacy and making recommender systems aware of the user's context, which involves the user's intentions and the user's current situation. Through research it has been established that a tradeoff is required between the accuracy, the privacy and the risks in a recommender system and that it is highly unlikely to have recommender systems completely satisfying all the context-aware and privacy-preserving requirements. Nonetheless, a significant attempt can be made to describe a novel modeling approach that supports designing a recommender system encompassing some of these previously mentioned requirements. This thesis focuses on a multi-agent based system model of recommender systems by introducing both privacy and risk-related abstractions into traditional recommender systems and breaking down the system into three different subsystems. Such a description of the system will be able to represent a subset of recommender systems which can be classified as both risk-aware and privacy-preserving. The applicability of the approach is illustrated by a case study involving a job recommender system in which the general design model is instantiated to represent the required domain-specific abstractions.

Online Risk Aware Conditional Planning With Qualitative Autonomous Driving Applications

Author : Matthew Quinn Deyo
ISBN : OCLC:1036985630
Genre :
File Size : 69. 74 MB
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Driving is often stressful and dangerous due to uncertainty in the actions of nearby vehicles. Having the ability to model driving maneuvers qualitatively and guarantee safety bounds in uncertain traffic scenarios are two steps towards building trust in vehicle autonomy. In this thesis, we present an approach to the problem of Qualitative Autonomous Driving (QAD) using risk-bounded conditional planning. First, we present Incremental Risk-aware AO* (iRAO*), an online conditional planning algorithm that builds off of RAO* for use in larger dynamic systems like driving. An illustrative example is included to better explain the behavior and performance of the algorithm. Second, we present a Chance-Constrained Hybrid Multi-Agent MDP as a framework for modeling our autonomous vehicle in traffic scenarios using qualitative driving maneuvers. Third, we extend our driving model by adding variable duration to maneuvers and develop two approaches to the resulting complexity. We present planning results from various driving scenarios, as well as from scaled instances of the illustrative example, that show the potential for further applications. Finally, we propose a QAD system, using the different tools developed in the context of this thesis, and show how it would fit within an autonomous driving architecture.

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