Risk Analysis and Risk Management: An Historical Perspective

This paper reviews the history of risk analysis and risk management, giving special emphasis to the neglected period prior to the 20th century. The overall objective of the paper is to: (1) dampen the prevailing tendency to view present-day concerns about risk in an ahistorical context; (2) shed light on the intellectual antecedents of current thinking about risk; (3) clarify how contemporary ideas about risk analysis and societal risk management differ significantly from the past; and (4) provide a basis for anticipating future directions in risk analysis and management.     

An Emerging New Risk Analysis Science: Foundations and Implications

To solve real‐life problems—such as those related to technology, health, security, or climate change—and make suitable decisions, risk is nearly always a main issue. Different types of sciences are often supporting the work, for example, statistics, natural sciences, and social sciences. Risk analysis approaches and methods are also commonly used, but risk analysis is not broadly accepted as a science in itself. A key problem is the lack of explanatory power and large uncertainties when assessing risk. This article presents an emerging new risk analysis science based on novel ideas and theories on risk analysis developed in recent years by the risk analysis community. It builds on a fundamental change in thinking, from the search for accurate predictions and risk estimates, to knowledge generation related to concepts, theories, frameworks, approaches, principles, methods, and models to understand, assess, characterize, communicate, and (in a broad sense) manage risk. Examples are used to illustrate the importance of this distinct/separate risk analysis science for solving risk problems, supporting science in general and other disciplines in particular.     

Critical Asset and Portfolio Risk Analysis: An All-Hazards Framework

This article develops a quantitative all-hazards framework for critical asset and portfolio risk analysis (CAPRA) that considers both natural and human-caused hazards. Following a discussion on the nature of security threats, the need for actionable risk assessments, and the distinction between asset and portfolio-level analysis, a general formula for all-hazards risk analysis is obtained that resembles the traditional model based on the notional product of consequence, vulnerability, and threat, though with clear meanings assigned to each parameter. Furthermore, a simple portfolio consequence model is presented that yields first-order estimates of interdependency effects following a successful attack on an asset. Moreover, depending on the needs of the decisions being made and available analytical resources, values for the parameters in this model can be obtained at a high level or through detailed systems analysis. Several illustrative examples of the CAPRA methodology are provided.     

Managing the Risk of Global Climate Catastrophe: An Uncertainty Analysis

Despite much scientific progress over many decades, the nature of global climate change remains highly uncertain, and the possibility of global climate catastrophe is one of the main concerns in public debates about global climate change. In this paper, we present a model which incorporates the risk of climate catastrophe in an analysis of greenhouse gas abatement strategy. In this model, the timing and severity of climate catastrophe are treated probabilistically. The impacts of key uncertainties on optimal policy are analyzed, and the expected values of additional information that reduces the uncertainty associated with the world economy, carbon cycle, climate change, and climate damage are estimated.     

The Effectiveness of Risk Management: An Analysis of Project Risk Planning Across Industries and Countries

This article examines the effectiveness of current risk management practices to reduce project risk using a multinational, multi‐industry study across different scenarios and cultures. A survey was administered to 701 project managers, and their supervisors, in seven industries and three diverse countries (New Zealand, Israel, and Japan), in multiple languages during the 2002–2007 period. Results of this study show that project context—industry and country where a project is executed—significantly impacts perceived levels of project risk, and the intensity of risk management processes. Our findings also suggest that risk management moderates the relationship between risk level and project success. Specifically, we found that even moderate levels of risk management planning are sufficient to reduce the negative effect risk levels have on project success.     

An Adversarial Risk Analysis Framework for Cybersecurity

Risk analysis is an essential methodology for cybersecurity as it allows organizations to deal with cyber threats potentially affecting them, prioritize the defense of their assets, and decide what security controls should be implemented. Many risk analysis methods are present in cybersecurity models, compliance frameworks, and international standards. However, most of them employ risk matrices, which suffer shortcomings that may lead to suboptimal resource allocations. We propose a comprehensive framework for cybersecurity risk analysis, covering the presence of both intentional and nonintentional threats and the use of insurance as part of the security portfolio. A simplified case study illustrates the proposed framework, serving as template for more complex problems.     

一个非对称风险度量模型及组合证券投资分析

在分析Jia&Dyer的风险-价值理论基础上,给出了一个基于预先给定的目标收益的非对称风险函数。该风险函数是低于参考点的离差和高于参考点的离差的加权和,它利用一阶"上偏矩"来修正二阶下偏矩,进一步建立了在此非对称风险函数下的二次规划组合证券投资模型;并证明了该模型与三阶随机占优准则的一致性;最后通过上海证券市场的实际数据验证了该模型的有效性和实用性。     

UK International Joint Ventures: An Analysis of Patterns of Activity and Distribution

To date no study has presented data which systematically considers the detailed activity of UK firms in joint venture formation over a significant period of time. This paper attempts to rectify this position by providing key statistics on the formation of joint ventures between UK firms and partner firms in Western Europe, the USA and Japan over the 1980s. The study examines several dimensions of activity: Trends in UK joint ventures over time, geographic distribution, industry characteristics, joint venture purpose, number of partners, contractual form and the equity share of UK partners.     

Journal of International Management: A 25-year review using bibliometric analysis

The Journal of International Management (JIM) is a leading international academic journal in the field of international business. This study presents a retrospect of the publications in JIM for the last 25 years (as JIM was founded in 1995) through a bibliometric methodology using the Scopus database and Web of Science. The study graphically maps the bibliographic material using VOS viewer software and applies co-citation analysis, bibliographic coupling, and co-occurrence of author keywords. We identify that the journal has expanded consistently and steadily in terms of both number of publications and citations. The collaboration network has expanded over the years, and the geographical focus is more global, encompassing Asia and Oceania. Bibliographic coupling of JIM publications reveals several distinct, major themes in the international management/business domain. Conventional international management themes that have emerged include market entry modes, globalization, international human resource management, cross-cultural management/leadership, and expatriate management. New emerging themes include emerging markets, global sourcing, innovation performance, digital firms, diversity of global teams, internationalization in uncertain environments, and virtual teams. A summary of the shifting research trends and themes in the discipline and their development is presented in this review, culminating in future directions for prospective publishers of JIM.     

国际石油价格波动周期性分析

油价波动周期性是一个值得研究的新问题.本文首先对1946年至2005年的WTI油价变化规律进行直观分析,在此基础上,利用傅立叶变换和样本周期图对1973年至2005年的油价进行了严格的数理分析,发现油价波动存在比较强烈的11年循环周期.     

国际碳市场风险价值度量的新方法——基于EVT-CAViaR模型

受全球经济、政治、能源和政策等各方面因素影响,碳资产价格波动剧烈,探寻适合碳市场风险度量的计量方法具有重要的现实意义。论文以EUA和CER市场为研究对象,对比了CAViaR与GARCH-GED模型在不同预测区间、不同置信水平下度量碳市场风险时的表现,发现CAViaR模型在模型拟合和预测方面要优于GARCH-GED模型,但由于CER市场具有更大的不确定性,导致了CAViaR模型在CER市场的预测表现比EUA市场更差,并且在预测1%VaR时,CAViaR模型表现出不稳定性;论文进一步将EVT与CAViaR模型结合来改进碳市场1%VaR的预测效果,发现在处理具有高风险预测区间以及高风险的CER市场,EVT-CAViaR模型的预测表现都更加稳健,说明该方法能够一定程度上提升碳市场风险的预测精度。     

Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent‐Based Model Approach

Recent studies showed that climate change and socioeconomic trends are expected to increase flood risks in many regions. However, in these studies, human behavior is commonly assumed to be constant, which neglects interaction and feedback loops between human and environmental systems. This neglect of human adaptation leads to a misrepresentation of flood risk. This article presents an agent‐based model that incorporates human decision making in flood risk analysis. In particular, household investments in loss‐reducing measures are examined under three economic decision models: (1) expected utility theory, which is the traditional economic model of rational agents; (2) prospect theory, which takes account of bounded rationality; and (3) a prospect theory model, which accounts for changing risk perceptions and social interactions through a process of Bayesian updating. We show that neglecting human behavior in flood risk assessment studies can result in a considerable misestimation of future flood risk, which is in our case study an overestimation of a factor two. Furthermore, we show how behavior models can support flood risk analysis under different behavioral assumptions, illustrating the need to include the dynamic adaptive human behavior of, for instance, households, insurers, and governments. The method presented here provides a solid basis for exploring human behavior and the resulting flood risk with respect to low‐probability/high‐impact risks.