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Volume 68, Number 1, Spring 2008

Foreword

"Management of Climate Risks in Agriculture" by Martin Odening, Ernst Berg, and Calum G. Turvey

Papers

"Critical Success Factors for Weather Risk Transfer Solutions in the Agricultural Sector: A Reinsurer’s View" authored by Michael Roth, Christina Ulardic, and Juerg Trueb

Abstract

Agricultural yield and commodity prices are very sensitive to weather patterns such as drought, excessive rain, or frost.  Consequently, unseasonable weather can cause major losses for players in the agricultural value chain, including input providers, farmers, commodity traders, and food processors.  In this paper information recorded by PriceWaterhouseCoopers on behalf of the Weather Risk Management Association is complemented by Swiss Re’s market intelligence to examine demand patterns for weather risk transfer solutions.  There is a particular focus on the evolution of demand from the energy sector compared to the agricultural sector as a means of identifying the critical success factors needed for a prospering market.  Our findings show that recent growth in the weather risk transfer market is mainly related to speculative trading in the energy sector.  Stakeholders in the agricultural sector around the world are growing increasingly interested in weather risk transfer products.  However, the lack of exchange-based instruments in this field, the relatively high basis risk between weather indexes and agricultural yield, the fact that agricultural markets are still highly regulated, and inadequate information and training are all impeding the growth of this business.

Key words: agricultural sector, demand patterns, weather risk transfer

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"A Bayesian Approach to German Agricultural Yield Expectations" authored by Jette Krause

Abstract

Agricultural yields depend on an encompassing set of technical and environmental factors.  The development of such factors often is not fully observable, and their interactions and impacts on yields have not been completely understood.  This paper proposes a Bayesian method for forming agricultural yield expectations based on past yields.  With this method, the development of expectations on yield trend and variability over time is retraced, and expectations for the future are derived.  German winter wheat, corn, and aggregated cereal yield data from 1950 through 2006 on the national scale are used for updating.  It is shown that the expectation that yields follow a stable positive linear trend with increasing variance becomes the dominant hypothesis by 1990, and gains a final weight of more than 99% for all crops considered.

Key words: agricultural yields, Bayesian learning, Bayesian updating, climate change, expectation, risk, trend, variance



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"Modeling Agricultural Production Risk and the Adaptation to Climate Change" authored by Robert Finger and Stéphanie Schmid

Abstract

An approach that integrates biophysical simulations in an economic model is used to analyze the impact of climate change on Swiss corn and winter wheat production.  Adaptation options such as changes in sowing dates, changes in production intensity, and the adoption of irrigation farming are considered in the model.  By carrying out sensitivity analysis with different scenarios, we find farmers’ adaptation actions and crop yields to be very sensitive to both climate change and output prices.  Moreover, our model results show that simple adaptation measures are sufficient to generate higher and less variable crop yields in the future.

Key words: biophysical modeling, climate change, crop production functions, crop yields, robust estimation, yield variation



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"Revisiting the Demand for Agricultural Insurance: The Case of Spain" authored by Alberto Garrido and David Zilberman

Abstract

This paper seeks to characterize the factors that explain crop insurance participation.  A stylized model of insurance demand, with a simple setup of one crop, CARA preferences, yield insurance, and pdfs for revenue and yield with moment-generating functions, provides a number of hypotheses about the incentives to contract crop insurance.  In the empirical model, we use the actual insurance records of 41,660 Spanish farmers and 12 years of data to estimate six probit models for the insuring versus non-insuring choice, based on individual loss ratios and the dispersion of indemnities, together with idiosyncratic and geographical variables.  Results suggest that adverse selection is not a major source of inefficiency in the Spanish insurance system, nor is it the primary motivation to contract crop insurance.  Premium subsidies are the leading factor that increases the probability of using insurance.  Conclusions are applicable to very diverse farms in Spain.

Key words: agricultural insurance, econometric models, insurance demand models, Spain



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"Hedging with Weather Derivatives to Cope with Climate Variability and Change in Grain Maize Production" authored by Daniele Simone Torriani, Pierluigi Calanca, Martin Beniston, and Jürg Fuhrer

Abstract

The effectiveness of hedging drought risks with weather derivatives was investigated for rain-fed grain maize production in Switzerland under current (1981-2003) and projected future (2070-2100) climatic conditions.  Depending on location, hedging reduced the value-at-risk (VaR) measure to a variable degree, although with a considerable basis risk, but hedging may provide a valid risk transfer since loading of 90% to 240% of the fair premium can be paid to obtain a hedged situation with improved outcomes relative to the reference.  However, the fair premium of a specific contract may vary by a factor of two to four over the 70-year period considered, which represents a substantial uncertainty for both the farmer and the institution writing the contract.

Key words: climate risks, climatic change, drought, hedging, maize production, weather derivatives



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"Portfolio Effects and the Willingness to Pay for Weather Insurances" authored by Oliver Musshoff, Norbert Hirschauer, and Martin Odening

Abstract

Since the mid-1990s, agricultural economists have discussed the relevance of index-based insurances, also called “weather derivatives,” as hedging instruments for volumetric risks in agriculture.  Motivated by the question of how weather derivatives should be priced for agricultural firms, this paper describes an extended risk-programming model which can be used to determine farmers’ willingness to pay (demand function) for weather derivatives.  The model considers both the derivative’s farm-specific risk-reduction capacity and the individual farmer’s risk acceptance.  Applying it to the exemplary case of a Brandenburg farm reveals that even a highly standardized contract which is based on the accumulated rainfall at the capital’s meteorological station in Berlin-Tempelhof generates a relevant willingness to pay.  Our findings suggest that a potential underwriter could even add a loading on the actuarially fair price which exceeds the level of traditional insurances.  Since transaction costs are low compared to insurance contracts, this finding indicates there may be a relevant trading potential.

Key words: production program planning under risk, rainfall risk, weather derivatives, willingness to pay

 

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"Basis Risk and Weather Hedging Effectiveness" authored by Joshua D. Woodard and Philip Garcia

Abstract

Basis risk—the risk that payoffs of a hedging instrument do not correspond to the underlying exposure—is cited as a primary concern for implementing weather hedges.  Using Illinois yields and weather data, we investigate several dimensions of weather basis risk in the U.S. corn market.  Results suggest that while geographic basis risk can be significant, it should not preclude the use of geographic cross-hedging, particularly with temperature as opposed to precipitation derivatives.  Risk reduction is appreciable and the degree to which geographic basis risk impedes effective hedging diminishes as spatial aggregation in the risk exposure and hedging instrument increases.

Key words: basis risk, hedging effectiveness, spatial aggregation, weather derivatives

 

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"Weather-Based Instruments in the Context of Whole-Farm Risk Management" authored by Ernst Berg and Bernhard Schmitz

Abstract

Basis risk—the risk that payoffs of a hedging instrument do not correspond to the underlying exposure—is cited as a primary concern for implementing weather hedges.  Using Illinois yields and weather data, we investigate several dimensions of weather basis risk in the U.S. corn market.  Results suggest that while geographic basis risk can be significant, it should not preclude the use of geographic cross-hedging, particularly with temperature as opposed to precipitation derivatives.  Risk reduction is appreciable and the degree to which geographic basis risk impedes effective hedging diminishes as spatial aggregation in the risk exposure and hedging instrument increases.

Key words: basis risk, hedging effectiveness, spatial aggregation, weather derivatives

 

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"The Pricing, Structure, and Function of Weather-Linked Bonds, Mortgages, and Operating Credit" authored by Calum G. Turvey

Abstract

This paper outlines approaches to valuating weather-linked bonds, mortgages, and operating lines of credit.  Using historical data from weather stations in Ardmore, Oklahoma, and Ithaca, New York, indemnities and insurance premiums are computed for specific-event rainfall insurance.  The main contribution of the paper is the development of new and accurate formulae for determining the coupon rates on weather-linked bonds and the interest rates on weather-linked mortgages and lines of credit.  The empirical aspects of the paper indicate that linking weather risk to debt may be very costly if the risks are common, but the risk premiums on rare or low-frequency weather risks can be very manageable.

Key words: precipitation insurance, rainfall insurance, weather derivatives, weather insurance, weather-linked bonds, weather-linked mortgages



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"Creating Insurance Markets for Natural Disaster Risk in Lower Income Countries: The Potential Role for Securitization" authored by Jerry R. Skees, Barry J. Barnett, and Anne G. Murphy

Abstract

This article considers the potential for securitizing index-based insurance products that transfer weather and natural disaster risks from lower income countries.  It begins with a brief overview explaining why markets for natural disaster risks are important, yet often missing, in lower income countries and a review of some recent activities using index-based weather insurance.  Next, we describe how natural disaster risks are handled in higher income countries.  These examples, along with the example of an innovative index-based livestock insurance pilot project in Mongolia, illustrate how layers, or tranches, of natural disaster risk can be financed during the product development phase by creating structures similar to the Special Purpose Vehicles used in catastrophe bond, mortgage bond, and the emerging microfinance bond markets.  We refer to these investment alternatives as micro-CAT bonds since the principal amounts would be small relative to the existing CAT bond market.

Key words: catastrophe risk, index insurance, reinsurance, socially responsible investing, weather risks


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"Improving Humanitarian Response to Slow-Onset Disasters Using Famine-Indexed Weather Derivatives" authored by Sommarat Chantarat, Calum G. Turvey, Andrew G. Mude, and Christopher B. Barrett

Abstract

This paper illustrates how weather derivatives indexed to forecasts of famine can be designed and used by operational agencies and donors to facilitate timely and reliable financing for effective emergency response to climate-based, slow-onset disasters such as drought.  We provide a general framework for derivative contracts, especially in the context of index insurance and famine catastrophe bonds, and show how they can be used to complement existing tools and facilities in drought risk financing through a risk-layering strategy.  We use the case of arid lands of northern Kenya, where rainfall proves a strong predictor of widespread and severe child wasting, to provide a simple empirical illustration of the potential contract designs.

Key words: catastrophe bond, covariate risk, famine relief, food aid, food insecurity, Kenya, pastoralists, weather derivatives

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"Challenges for Use of Index-Based Weather Insurance in Lower Income Countries" authored by Jerry R. Skees

Abstract

This article offers some perspective on the progress and challenges of managing catastrophic weather risk in lower income countries through the use of index insurance.  Innovations in insurance for natural disaster risk are critically important to help the rural poor improve their lives and to contribute to the overall economic growth in lower income countries.  By reviewing lessons learned from various index insurance projects, several conclusions are made about how best to approach weather risk management to benefit the livelihoods of the rural poor.  It is important to recognize the limitations of index insurance and that it is not a substitute for crop insurance.  However, using index insurance to address catastrophic risk can serve as the foundation for the development of broader financial services by removing one of the major constraints to market development.  This in turn can offer households more effective strategies for consumption smoothing in the face of different sources and magnitudes of risk.

Key words: ex ante risk management, index insurance, risk transfer, rural development, weather risk

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Abstracts

"Using Participating and Financial Contracts to Insure Catastrophe Risk: Implications for Crop Risk Management" authored by Geoffroy Enjolras and Robert Kast

"Indifference Pricing of Weather Insurance" authored by Wei Xu, Martin Odening, and Oliver Musshoff

"Creating Safety Nets Through Semi-parametric Index-Based Insurance: A Simulation for Northern Ghana" authored by Vasco Molini, Michiel Keyzer, Bart van den Boom, and Wouter Zant

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Send questions and comments to Faye Butts fsb1@cornell.edu

This page was last modified on: 1/5/09

Topics
1.Critical Success Factors for Weather Risk Transfer Solutions in the Agricultural Sector.
2.A Bayesian Approach to German Agricultural Yield Expectations.
3.Modeling Agricultural Production Risk and the Adaptation to Climate Change.
4.Revisiting the Demand for Agricultural Insurance.
5.Hedging with Weather Derivatives to Cope with Climate Variability and Change in Grain Maize Production.
6.Portfolio Effects and the Willingness to Pay for Weather Insurances.
7.Basis Risk and Weather Hedging Effectiveness.
8.Weather-Based Instruments in the Context of Whole-Farm Risk Management.
9.The Pricing, Structure, and Function of Weather-Linked Bonds, Mortgages, and Operating Credit.
10.Creating Insurance Markets for Natural Disaster Risk in Lower Income Countries: The Potential Role for Securitization.
11.Improving Humanitarian Response to Slow-Onset Disasters Using Famine-Indexed Weather Derivatives.
12.Challenges for Use of Index-Based Weather Insurance in Lower Income Countries.
13.Using Participating and Financial Contracts to Insure Catastrophe Risk: Implications for Crop Risk Management.
14.Indifference Pricing of Weather Insurance.
15.Creating Safety Nets Through Semi-parametric Index-Based Insurance: A Simulation for Northern Ghana.

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