Feasibility study for cotton and livestock index insurance - Argentina

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Argentina’s agriculture sector is very vulnerable to weather risks. For instance, cotton in the Chaco Province - the most important cotton producing area in Argentina and the third poorest province - is very exposed to drought, excess rainfall and pests. Similarly, cattle-rearing in South West Buenos Aires Province is very exposed to droughts which impact severely on pasture production.

Feasibility study for index-insurance and awareness raising - Nigeria

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Agricultural insurance was introduced in Nigeria in 1987 through the creation of the Nigerian Agricultural Insurance Scheme (NAIS). In 1993, the private company in charge of underwriting and implementing the NAIS was dissolved and replaced by a public-sector corporation, the Nigerian Agricultural Insurance Corporation, NAIC.

Risk Transfer and Capital Adequacy - Manual 5

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Agricultural production is inherently subject to a variety of risks because management decisions or states-of-nature often generate future outcomes (either favorable or unfavorable) that cannot be predicted with certainty. The variability of these outcomes represents risk. Some risks are managed through production and fi nancial decision-making, while others are simply accepted as business expenses. In addition, some risks can be managed through a variety of contractual and insurance related products.

Data and Information Management - Manual 3

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Data and information management refers to the development, collection, use, and preservation of data and the methods needed to acquire, control, protect, deliver, and enhance its value to achieve the goals of agricultural insurance programs. Issues related to the collection, development, updating, and quality of data are often overlooked when developing agricultural insurance programs. However, such programs will likely fail without a concise, well-developed plan for data and information management.

Actuarial Basics - Manual 2

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This manual presents theoretical concepts and applied methods commonly used for actuarial processes in agriculture insurance. Actuarial processes refer to the activities that establish insurance premium rates and related quantitative analyses. Key considerations for designing agriculture insurance programs are presented. In addition, the infl uence of program design on data requirements and the use of statistical methods for establishing insurance premiums are illustrated.

Introduction to Agricultural Insurance and Risk Management - Manual 1

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This manual introduces and discusses agricultural insurance and provides tools for the development, management, operation, and maintenance of such programs. Agricultural insurance includes a variety of product types, including property, causality, life, and health insurance. Throughout the manual, the term “agricultural insurance” refers to crop and in some cases livestock insurance programs.

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