Risk analysis (business)

About: Risk analysis (business) is a research topic. Over the lifetime, 6501 publications have been published within this topic receiving 128832 citations.

Quantitative Risk Management: Concepts, Techniques, and Tools

Abstract: This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems. Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives. Fully revised and expanded to reflect developments in the field since the financial crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation

Consumer perceived risk: conceptualisations and models

Abstract: Reviews the literature on consumer‐perceived risk over the past 30 years. The review begins by establishing perceived risk’s relationship with related marketing constructs such as involvement and trust. It then tackles some debates within the literature, concerning subjective and objective risk and differences between the concepts of risk and uncertainty. It describes how different models have been devised and operationalised to measure risk and how these have developed over the years. Aims to identify and report the theoretical and model developments over the past 30 years and to propose criteria which researchers can use in deciding the most useful model for their own research. The criteria are: understanding, prediction, suitability for reliability and validity assessment, practicality and usability. It is suggested that the basic two‐component model is still the most generally useful for researchers and practitioners alike.

Quantitative Risk Management

Abstract: Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book’s methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives.

Value at risk: the new benchmark for controlling market risk

Abstract: To accommodate sweeping global economic changes, the risk management field has evolved substantially since the first edition of Value at Risk, making this revised edition a must. Updates include a new chapter on liquidity risk, information on the latest risk instruments and the expanded derivatives market, recent developments in Monte Carlo methods, and more. Value at Risk, Second Edition, will help professional risk managers understand, and operate within, today's dynamic new risk environment.

Risk in supply networks

Abstract: Increasing product/service complexity, outsourcing and globalisation have led to increasingly complex, dynamic supply networks. This has impacted on risk, changing it and changing its location in supply networks. This paper provides a review of definitions and classifications of types of risk; an holistic view of risk assessment and management is taken here. Little evidence is apparent of empirical research on risk in supply networks or tools to help identify, assess and manage that risk. A tool is provided and its testing and development in four case studies in the electronics sector is described. Experiences of using the tool are discussed and conclusions drawn on its potential further development and application. r 2003 Elsevier Science Ltd. All rights reserved.