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After several reforms of the common agricultural policy, domestic product prices and farm incomes have become more volatile in the EU. Risk-averse farmers are therefore seeking income stabilizing measures. Margin insurance is among the feasible options but is not yet established in the EU. The purpose of this paper is to explore such an insurance under EU conditions for a major crop.

The paper explores conditions for a viable margin insurance. It presents a modeled-loss trigger for a margin insurance scheme using wheat production in Austria as the case study.

While margin insurance products are widely used in the USA, such products are not available in the EU. Basis risk seems to be an important reason. An exploration of wheat production in Austria shows that heterogeneity among farms is relevant. The authors demonstrate an approach aiming to lower basis risks.

This paper presents a technically feasible approach to handle the basis risk of a margin insurance under EU conditions. Before such a product can be placed on the market, further research on systemic risk is needed. Market research is necessary to fine-tune the details of the product to meet the actual demand of farmers. Further empirical validation of the modeled losses is needed. Legal implications are not explored in this paper.

The insurance product presented here demonstrates a concept that is established in the USA under EU conditions. It is motivated by several shortcomings of income risk mitigation approaches in the EU.

Income risk may be seen as a problem of social policy. The approach shows that it can be addressed by market-oriented instruments.

To the authors’ knowledge, this paper is the first to propose a tool to handle basis risk for margin insurance products in agriculture in the EU. A special feature of the proposed approach is that it is not limited to a single product such as wheat.

The purpose of the present paper is to review studies on weather index-insurance as a tool to manage the climate change impact risk on farmers and to explore the study gaps in the currently existing literature by using a systematic literature review.

This study analyzed and reviewed the 374 articles on weather index insurance (WII) based on a systematic literature search on Web of Science and Scopus databases by using the systematic literature review method.

WII studies shifted their focus on growing and emerging areas of climate change impact risk. The finding shows that the impact of climate change risk significantly influenced the viability of WII in terms of pricing and design of WII. Therefore, the cost of WII premium increases due to the uncertainty of climate change impact that enhances the probability of losses related to insured weather risks. However, WII has emerged as a risk management tool of climate insurance for vulnerable agrarian communities. The efficacy of WII has been significantly influenced by repetitive environmental disasters and climate change phenomena.

This study will be valuable for scholars to recognize the missing and emerging themes in WII.

This study will help the policy planners to understand the influence of climate change impact on WII viability.

This study is the original work of the author. An attempt has been made in the present study to systematically examine the viability of WII for insuring the climate change risk.

The purpose of this paper is to review research on weather index insurance (WII) for mitigating the weather risk in agriculture and to identify research gaps in current available literature through integrative review.

This paper is based on the integrative review method as proposed by Whittemore and Knafl. QualSysts tool was adopted for assessing the quality appraisal of articles. Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Detailed critical analysis of content reveals that WII studies are growing and shifting from traditional to the newest themes. Efficacy of WII is significantly influenced by the impacts of climate change. This paper generates a conceptual framework by synthesizing the published literature on WII.

This paper will be used to improve the WII practices and influence public policy. It is also beneficial in research by contributing to the systematic body of knowledge and useful for researchers to analyze the past and present status with future prospects of further studies on WII.

The paper is the original work of the author. To the best of authors’ knowledge, this is the first paper on integrative review on the efficacy of WII. An attempt has been made in the current paper to critically examine the studies of WII.

One aspect of the growing issuance in catastrophe bonds is the increasing geographic diversity of coverage. Although catastrophe bonds initially focused on a single peril and territory, more recently they have been structured with independent multiple event triggers, differing according to peril and territory. This paper reviews the territorial development of catastrophe bonds and explores the geographical horizon for new issues.

Property and casualty (“P&C”) insurance companies rely on “risk capital” to absorb large losses that unexpectedly deplete claims‐paying resources and reduce underwriting capacity. The purpose of this paper is to review the similarities and differences between two different types of risk capital raised by insurers to cover losses arising from natural catastrophes: internal risk capital provided by investors in insurance company debt and equity; and external risk capital provided by third parties. The paper also explores the distinctions between four types of external catastrophe risk capital: reinsurance, industry loss warranties, catastrophe derivatives, and insurance‐linked securities. Finally, how the credit crisis has impacted alternative sources of catastrophe risk capital in different ways is considered.

The discussion is based on the conceptual framework for analyzing risk capital developed by Merton and Perold.

In 2008, the P&C insurance industry was adversely affected by significant natural catastrophe‐related losses, floundering investments, and limited access to capital markets, all of which put upward pressure on catastrophe reinsurance premiums. But the influx of new risk capital that generally accompanies hardening markets has been slower than usual to occur in the wake of the credit crisis. Meanwhile, disparities between the relative costs and benefits of alternative sources of catastrophe risk capital are even more pronounced than usual.

Although many insurance companies focus on how much reinsurance to buy, this paper emphasizes that a more important question is how much risk capital to acquire from external parties (and in what form) vis‐à‐vis investors in the insurance company's own securities.

This article examines how reinsurance coupled with new financial instruments can expand coverage to areas exposed to catastrophe losses from natural disasters, and demonstrates how reinsurance and the catastrophe‐linked financial instruments can be combined to lower the price of protection from its current level. A simple example illustrates the relative advantages and disadvantages of pure catastrophic bonds and pure indemnity reinsurance in supporting a structure of payments contingent on certain extreme events occurring. The authors suggest ways to combine these two instruments using customized catastrophe indices to expand coverage and reduce the cost of protection. This article states six principles for designing catastrophic risk transfer systems and discusses practical issues for implementation, and then concludes with suggestions for future research.

Understanding risk is more than just modeling risk; it requires an understanding of the development and social processes that underlie and drive the generation of disaster risk. Here, in addition to a review of more technical factors, this paper aims to discuss a variety of institutional, social and political considerations that must be managed for the results of a risk assessment to influence actions that lead to reductions in natural hazard risk.

The technical approaches and the institutional, social and political considerations covered in this paper are based on a wide range of experiences gleaned from case studies that touch on a variety of activities related to assessing the risks and impacts of natural hazards, and from the activities of the World Bank’s Global Facility for Disaster Reduction and Recovery.

Risk information provides a critical foundation for managing disaster risk across a wide range of sectors. Appropriate communication of robust risk information at the right time can raise awareness and trigger action to reduce risk. Communicating this information in a way that triggers action requires an understanding of the developments and social processes that underlie and drive the generation of risk, as well as of the wider Disaster Risk Management (DRM) decision-making context.

Prior to the initiation of a quantitative risk assessment one should clearly define why an assessment is needed and wanted, the information gaps that currently prevent effective DRM actions and the end-users of the risk information. This requires developing trust through communication among the scientists and engineers performing the risk assessment and the decision-makers, authorities, communities and other intended users of the information developed through the assessment.

This paper summarizes the technical components of a risk assessment as well as the institutional, social and political considerations that should be considered to maximize the probability of successfully reducing the risk defined by a risk assessment.

This paper seeks to discuss a modeling tool for explaining credit‐risk contagion in credit portfolios.

Presents a “collective risk” model that models the credit risk of a portfolio, an approach typical of insurance mathematics.

ACD models are self‐exciting point processes that offer a good representation of cascading phenomena due to bankruptcies. In other words, they model how a credit event might trigger other credit events. The model herein discussed is proposed as a robust global model of the aggregate loss of a credit portfolio; only a small number of parameters are required to estimate aggregate loss.

Discusses a modeling tool for explaining credit‐risk contagion in credit portfolios.

Insurance‐linked securities can benefit both issuers and investors; they supply insurance and reinsurance companies with additional risk capital at reasonable prices (with little or no credit risk), and supply excess returns to investors that are uncorrelated with the returns of other financial assets. This article explains the terminology of insurance and reinsurance, the structure of insurance‐linked securities, and provides an overview of major transactions. First, there is a discussion of how stochastic catastrophe modeling has been applied to assess the risk of natural catastrophes, including the reliability and validation of the risk models. Second, the authors compare the risk‐adjusted returns of recent securitizations on the basis of relative value. Compared with high‐yield bonds, catastrophe (“CAT”) bonds have wide spreads and very attractive Sharpe ratios. In fact, the risk‐adjusted returns on CAT bonds dominate high‐yield bonds. Furthermore, since natural catastrophe risk is essentially uncorrelated with market risk, high expected excess returns make CAT bonds high‐alpha assets. The authors illustrate this point and show that a relatively small allocation of insurance‐linked securities within a fixed income portfolio can enhance the expected return and simultaneously decrease risk, without significantly changing the skewness and kurtosis of the return distribution.