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.
The views expressed herein are those of the authors and do not necessarily represent those of the Economic Research Service or the US Department of Agriculture. The authors express thanks to the USDA Cooperative State Research, Education, and Extension Service (CSREES) and the Louisiana Agricultural Experiment Station for support of this research. The authors also appreciate the comments of the two anonymous reviewers whose suggestions greatly improved the final version of this manuscript. The views and opinions expressed in this paper are those of the authors and do not necessarily reflect the views or opinions of the Economic Research Service, the US Department of Agriculture, or the LSU AgCenter.
Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited