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Recent research has indicated that livestock producers who want to manage risk and diversify their operations should invest in the stock market. This research evaluates whether or not a portfolio of publicly held companies that are first handlers of pork products would provide pork producers with a means of enhancing annual returns and reducing the volatility in the annual returns. Ex ante results suggest producers can gain from investment in value‐added stocks. Ex post results, however, imply producers must choose active management of their portfolio to receive the same type of benefits as the ex ante portfolio.

The purpose of this research is to develop a composite agribusiness stock index and then compare the returns and volatility to other broad‐based market indices. The paper then evaluates the diversification potential of agribusiness stocks in the context of an investment portfolio.

This agribusiness index (AGB Index) is market‐capitalization weighted. Only firms traded on the NYSE, AMEX, or NASDAQ and meeting ERS SIC classification for industries related to agriculture are included in the index. The paper then uses standard financial metrics to measure the historical risk, return, and correlation.

Until recent years, the AGB Index has historically exhibited lower returns than the market indices. The AGB Index has also exhibited lower risk and correlation with treasury securities than broad market indices.

In recent years, portfolio managers and large investors have invested considerably in asset classes like farmland for stable returns, an inflation hedge, and diversification tool. This agribusiness index may further this trend and lead to the development of an alternative Exchange Traded Fund (ETF). This product would make investment in agriculture possible for virtually all investors.

Despite increasing popularity, very little research exists on the performance of agricultural stocks in an investment portfolio. This study develops a large‐cap agribusiness stock price index to help fill this void in the literature.

The purpose of this paper is to identify relevant financial concepts and skills that are being taught and/or should be taught, as part of the financial management curriculum in undergraduate agricultural economics and agribusiness programs.

The skill gap analysis uses survey respondents' rankings of the importance and competence scores of recent graduates' skills. The scores help to identify opportunities for improvement in the most critical areas of importance. The skill gap is calculated as (Average importance–Average competence)*Average importance.

Generally, employers in the agricultural financial services sector saw greater opportunities for improvement in finance skills relative to non‐finance skills. The results also indicated a greater focus on business and financial risk might be helpful in increasing the competence of new hires. Finally, respondents strongly endorsed maintaining a focus on the problem‐solving skills in undergraduate agribusiness programs.

The value of the study would be that departments of agricultural and applied economics would use the results of this survey to enhance their financial management curriculum and their undergraduate program. By responding to the desires of employers, agricultural economics and agribusiness programs cannot only remain relevant as a source of employees for the industry but the first choice of agricultural financial services sector when they are searching for new hires. This should also help inform students of the desirability of the skills they acquire in their degree programs. This information will also benefit the agricultural finance services sector by assisting college and university instructors in developing and/or enhancing their agricultural finance course(s) so that the may provide their students with the requisite financial and non‐financial skills that they require.

The purpose of this paper is to assess the impacts of GM crop adoption on the profitability of farms operated by young and/or beginning farmers and ranchers (YBFR).

This research uses weighted quantile regression analysis in conjunction with 2004‐2006 Agricultural Resource Management Survey to evaluate the impact of GM crop adoption on financial performance of farms operated by YBFR. The methodology employed in this study corrects for the simultaneity of technology adoption and farm financial performance.

As expected, the impact of GM crop adoption on profitability is positively affected by the scale of operation and leverage. On the other hand, off‐farm employment by “beginning” farmers has a negative impact on farm's profitability if they choose to adopt GM crops. Finally, quantile regression results from a farm household study shows that the model performs better at the higher quantile of the distribution.

This study helps to determine whether the adoption of GM crops increases the profitability of farms operated by “beginning” farmers. In addition, it explores the impact of other factors (such as farm, operator, demographic, and financial characteristics) on the profitability of farms operated by “beginning” farmers.

Computing the profitability of adoption decisions for YBFR will provide significant information to YBFR that they can use in constructing their farm operations strategic business plan and future decisions regarding farming operations.

Existing research does not examine the impact of GM crops adoption on farm profitability of YBFR. Furthermore, YBFR operators face significant challenges in making their operations financially viable, owing to lack of access to capital and land.

The aim of this study is to use a financial approach based on the Du Pont expansion to investigate the impact of demographics, specialization, tenure, vertical integration, farm type, and regional location on the three levers of performance (ROE) – namely, net profit margins, asset turnover ratio, and asset‐to‐equity ratio.

This research uses a system of equations in conjunction with 1996‐2009 farm‐level data from the US Department of Agriculture's Agricultural Resource Management Survey (ARMS) to evaluate the factors driving farm‐level profitability, namely, net profit margins, asset turnover ratio, and asset‐to‐equity ratio. The methodology employed in this study corrects heterogeneity and uses repeated cross‐section estimation procedure to estimate the empirical models.

The study finds that key drivers of net profit margins are operator education, farm size and typology, specialization, and level of government payments. Key factors affecting the asset turnover ratio component of the Du Pont model include asset turnover ratio is driven by operator age, contracting, specialization, and receiving government payments. Finally, key factors affecting asset‐to‐equity ratio component of the Du Pont model are farm size, farm typology, contracting, and specialization drive asset‐to‐equity ratio.

Existing research does not examine the factors affecting returns to equity in faring at the farm‐level. Specifically, a micro‐level analysis of American farm's future structure and financial performance that accounts for the spatial and inter‐temporal dimensions of profitability has never been conducted.

The purpose of this paper is to determine how an index of agribusiness stocks performs relative to the S&P 500 particularly in times of recession.

Using value-weighted indexes of agribusiness stocks, large cap US stocks, and copula estimation, the paper quantifies the correlation in potential investment portfolios. The information obtained from the copula estimated dependence measures and Value at Risk (VaR) allows to examine the diversification benefits of holding agribusiness stocks in the portfolio relative to the S&P 500.

The results provide limited evidence that the addition of agribusiness stocks to a portfolio are able to provide significant diversification benefits to a portfolio of domestic equities, as represented by the S&P 500 index. The VaR analysis also indicates the risk of extreme losses remained relatively stable both across time and portfolio weightings.

While this research examines a broad-based agribusiness stock index, there exists a number of sub-assets classes within the analyzed index that should be analyzed to see if the offer benefits to investors. In addition, only stocks traded on US-based stock indexes are included in this analysis; as such, the authors would like to extend the research to have a more global approach.

The findings suggest that investors who are looking to a broad-based agribusiness stock index to provide more diversification in their portfolio, may find it unattractive from a both a risk management and profit maximizing perspective. However, that does not mean that the agribusiness stock index might be an affective complement to a portfolio that contains multiple other assets classes.

The issue of correlation convergence during financial crises is one of great concern to investors. To the authors’ knowledge, this is the first paper that uses copulas to evaluate the role of agribusiness stocks in an investor's portfolio.

WHAT WAS DESCRIBED as a “new‐look” Library Association Council, the first constituted under the scheme of reorganisation, met last month at Chaucer House. There were many new faces, especially from the ranks of the university and special libraries, and it was a happy thought on somebody's part to have a roll‐call, so that old and new members could be introduced to one another. The reorganisation of the Association was still not signed and sealed by the Privy Council, but members were informed that approval was imminent, subject to a minor alteration in the audit arrangements. This alteration was speedily accepted by Council and the Privy Council's final approval has now been given.