1,056 research outputs found

    Designing Catastrophe Bonds to Securitize Systemic Risks in Agriculture: The Case of Georgia Cotton

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    This article makes an initial attempt to design catastrophe (CAT) bond products for agriculture and examines the potential of these instruments as mechanisms for transferring agricultural risks from insurance companies to investors/speculators in the global capital market. The case of Georgia cotton is considered as a specific example. The CAT bond contracts are based on percentage deviations of realized state average yields relative to the long-run average. The contracts are priced using historical state-level cotton yield data. The principal finding of the study is that the proposed CAT bonds demonstrate potential as risk transfer mechanisms for crop insurance companies.CAT bonds, catastrophe bond pricing, catastrophe insurance, disaster risk, reinsurance, risk securitization, Risk and Uncertainty,

    Impacts of government risk management policies on hedging in futures and options:LPM2 hedge model vs. EU hedge model

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    The main objective of this study is to compare the impacts of government payments and crop insurance policies on the use of futures and options measured from a downside risk hedge model with the impacts analyzed by the expected utility (EU) hedge model. Understanding the effects of government-provided risk management tools on the private market risk management tools, such as futures and options, provides value to both crop farmers and policy makers. Comparison of the impacts from the two hedge models shows that crop farmer will hedge less in futures under the LPM2 model than under the EU hedge model. This finding indicates that model misspecification is another reason for the phenomenon that farmers actually hedge less in futures than predicted by the EU model. From the perspective of exploring new research techniques, this study applied two relatively new simulation concepts, copula simulation and conditional kernel density approach, to make the simulation assumptions less restrictive and more consistent with observations. The copula simulation applied in this study allows yield and price to have more flexible joint distribution functions than multivariate normal; the conditional kernel density approach used in farm yield simulation enables the variance of farm yield varies with county yield rather than being constant.Down-side Risk, LPM2 Hedge Model, Government Payments, Crop Insurance Policies, Copula Simulation, Conditional Kernel Density, Agricultural Finance,

    Hedging Downside Risk to Farm Income with Futures and Options: Effects of Government Payment Programs and Federal Crop Insurance Plans

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    The high proportion of government payments in total crop farm income and the purchase of subsidized crop insurance have changed the income distribution of U.S. crop farmers. As a result, the risk management behaviors of U.S. crop farmers are affected by these programs in terms of the use of private market risk management tools, such as futures and options. The objective of this research is to investigate the effects of the government payments and federal crop insurance policies on the usage of futures and options by crop farmers from a downside risk management perspective. Results in this study suggest that both yield insurance and revenue insurance creates more hedging demands for futures. But revenue insurance decreases the buying of put options at the same time. Loan deficiency government payments substitutes largely for the hedging role of put options while Counter Cyclical payments substitutes futures hedge. This research contributes the literature by proposing to use a downside risk hedge model, the second-order lower partial moment (LPM2) hedge model, to investigate the interaction of government and private risk management tools used by crop farmers. This study also initiatively applies the conditional kernel density method and the copula approach in the data simulation process. The conditional kernel density method generates county yield and farm yield with the same conditional pattern as revealed in the historical yields. The copula simulation allows the crop yield and prices have more flexible joint distributions other than bivariate normal.Agricultural and Food Policy, Agricultural Finance,

    Divisia Second Moments: An Application of Stochastic Index Number Theory

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    W. A. Barnett originated the Divisia monetary aggregates, using Diewert's results on superlative index numbers and Barnett's derivation of the user cost of monetary asset services. The resulting Divisia index can be interpreted as a first moment aggregating over growth rates with expenditure shares serving as probabilities. But Theil showed that there are analogous higher order Divisia moments providing distributional information. In this paper we use the Divisia second moments to investigate distributional information in the monetary aggregate growth rates and to measure aggregation error in the Divisia first moments

    Divisia Second Moments

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    W. A. Barnett originated the Divisia monetary aggregates, using Diewert's results on superlative index numbers and Barnett's derivation of the user cost of monetary asset services. The resulting Divisia index can be interpreted as a first moment aggregating over growth rates with expenditure shares serving as probabilities. But Theil showed that there are analogous higher order Divisia moments providing distributional information. In this paper we use the Divisia second moments to investigate distributional information in the monetary aggregate growth rates

    Divisia Second Moments: An Application of Stochastic Index Number Theory

    Get PDF
    W. A. Barnett originated the Divisia monetary aggregates, using Diewert's results on superlative index numbers and Barnett's derivation of the user cost of monetary asset services. The resulting Divisia index can be interpreted as a first moment aggregating over growth rates with expenditure shares serving as probabilities. But Theil showed that there are analogous higher order Divisia moments providing distributional information. In this paper we use the Divisia second moments to investigate distributional information in the monetary aggregate growth rates and to measure aggregation error in the Divisia first moments

    Creation of Skyrmions in a Spinor Bose-Einstein Condensate

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    We propose a scheme for the creation of skyrmions (coreless vortices) in a Bose-Einstein condensate with hyperfine spin F=1. In this scheme, four traveling-wave laser beams, with Gaussian or Laguerre-Gaussian transverse profiles, induce Raman transitions with an anomalous dependence on the laser polarization, thereby generating the optical potential required for producing skyrmions.Comment: 5 pages, 2 figures, RevTe
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