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The moral hazard problem which obstructs external equity financing of farm businesses is studied using the principal‐agent framework. We assume that the supplier of external equity capital (the principal) cannot directly observe the farmer’s (agent’s) effort, but can observe the random outcome of the effort. We solve for the optimal farm income‐sharing rule that includes an extra share to the agent. The extra share is dependent on the random outcome and is provided to induce optimal effort from the agent. Results show a farmer’s effort is inversely related to the level of risk aversion and the riskiness of the project. Thus, an investor must share more income when a farmer is more risk averse or a project is more risky.

The purpose of this paper is to examine the degree of dependence and extreme correlation (i.e. tail dependence) among US industry sectors.

This paper makes use of both conventional measures of dependence (the Pearson’s correlation coefficient, Spearman’s rho and Kendall’s tau) and copula measures of extreme correlations (including the same-direction and cross-tail dependence coefficients) to explore sector diversification opportunities. The paper splits the full sample in three periods, namely, 1995 to 2000, 2001 to 2006 and 2007 to 2012, to access the extent to which the dependence results change through time.

This research provides three important findings. First, the degree of dependence and same-direction extreme correlations are high, whereas the cross-extreme correlations are considerably low. Second, the sector pairs offering the best and worst tail diversification change across sample periods. Third, the traditional dependence measures suggest that benefits for sector diversification have decreased over all sample periods, while the potential for sector diversification during extreme events has just started to disappear in the most recent period.

An investor should consider both the normal co-movements and extreme co-movements among sector indices to maximize diversification benefits.

Given the limited empirical investigations of the degree of dependence and extreme correlation at a sector level, the results from this research should provide additional and valuable information for both investors and empirical researchers about portfolio diversification and risk management.

The purpose of this paper is to bring out the development of a flexible model for nonstationary crop yield distributions and its applications to decision-making in crop insurance.

The authors design a nonparametric Bayesian approach based on Gaussian process regressions to model crop yields over time. Further flexibility is obtained via Bayesian model averaging that results in mixed Gaussian processes.

Simulation results on crop insurance premium rates show that the proposed method compares favorably with conventional estimators, especially when the underlying distributions are nonstationary.

Unlike conventional two-stage estimation, the proposed method models nonstationary crop yields in a single stage. The authors further adopt a decision theoretic framework in its empirical application and demonstrate that insurance companies can use the proposed method to effectively identify profitable policies under symmetric or asymmetric loss functions.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

In the Court of Appeal last summer, when Van Den Berghs and Jurgens Limited (belonging to the Unilever giant organization) sought a reversal of the decision of the trial judge that their television advertisements of Stork margarine did not contravene Reg. 9, Margarine Regulations, 1967—an action which their Lordships described as fierce but friendly—there were some piercing criticisms by the Court on the phrasing of the Regulations, which was described as “ridiculous”, “illogical” and as “absurdities”. They also remarked upon the fact that from 1971 to 1975, after the Regulations became operative, and seven years from the date they were made, no complaint from enforcement authorities and officers or the organizations normally consulted during the making of such regulations were made, until the Butter Information Council, protecting the interests of the dairy trade and dairy producers, suggested the long‐standing advertisements of Reg. 9. An example of how the interests of descriptions and uses of the word “butter” infringements of Reg. 9. An example af how the interests of enforcement, consumer protection, &c, are not identical with trade interests, who see in legislation, accepted by the first, as injuring sections of the trade. (There is no evidence that the Butter Information Council was one of the organizations consulted by the MAFF before making the Regulations.) The Independant Broadcasting Authority on receiving the Council's complaint and obtaining legal advice, banned plaintiffs' advertisements and suggested they seek a declaration that the said advertisements did not infringe the Regulations. This they did and were refused such a declaration by the trial judge in the Chancery Division, whereupon they went to the Court of Appeal, and it was here, in the course of a very thorough and searching examination of the question and, in particular, the Margarine Regulations, that His Appellate Lordship made use of the critical phrases we have quoted.

The purpose of this paper is to develop information on the relative efficiency of Farm Credit System (FCS) lenders. Also the evolution of relative efficiency is examined as influenced by the biofuel boom, the financial crisis, and farm income increases. The paper aims to discuss these issues.

A stochastic frontier production function is used to estimate technical efficiency of FCS banks and associations.

A significant difference is found in efficiency between large and small associations and banks. Larger asset bases and management compensation are found to be positively associated with efficiency. Banks are found to have higher technical efficiency than associations (66-46 percent). Association efficiency is found to be increasing indicating likely effects of recent consolidation. The financial crisis was not found to have a significant effect with the bioenergy and farm income booms being likely countervailing forces.

Further work is needed on the impact of the biofuel boom, increases in farm income, and new regulations.

The study provides information and indications of strategies for FCS management including additional consolidation.

This does an updated assessment of FCS efficiency taking into account changes in consolidation, lending practices, and economic conditions. Implications are developed for management actions such as more consolidation. The study also uses a more advanced methodology compared to older studies.