Pricing Crop Revenue Insurance using Parametric Copulas

Designing Optimal Crop Revenue Insurance

When the indemnity schedule is contingent on the farmer’s price and individual yield, an optimal crop revenue insurance contract depends only on the farmer’s gross revenue. However, this design is not efficient if, as is the case with available contracts, the coverage function is based on imperfect estimators of individual yield and/or price. The producer’s degree of prudence and the extent of ...

Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach

Systemic Risk in U.S. Crop and Revenue Insurance Programs

The present study estimates the probability density function of the Federal Risk Management Agency’s (RMA) net income from reinsuring crop insurance for corn, wheat, and soybeans. Based on 1997 data, it is estimated that there is a 5 percent probability that RMA will need to reimburse at least $1 billion to insurance companies, and that the fair value of RMA’s reinsurance services to insurance ...

Multilevel Modeling of Insurance Claims Using Copulas

In property and casualty insurance, claims management is featured with modeling of semicontinuous insurance cost associated with individual risk transfer. This practice is further complicated by the multilevel structure of the insurance claims data, where a contract often contains a group of policyholders, each policyholder is insured under multiple types of coverage, and the contract is repeat...

Credit migration and derivatives pricing using copulas

The multivariate modelling of default risk is a crucial aspect of the pricing of credit derivative products referencing a portfolio of underlying assets, and the evaluation of Value at Risk of such portfolios. This paper proposes a model for the joint dynamic behavior of credit ratings for several …rms. Namely, individual credit ratings are modelled by univariate continuous time Markov chain, w...