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Investor'S Expectations Of New Generation Cooperatives' Equity


  • Akono, Jean H.C.
  • Nganje, William E.
  • Kaitibie, Simeon
  • Gustafson, Cole R.


New Generation Cooperatives (NGCs) or value-added agricultural cooperatives are undergoing several structural changes with the acceptance of outside (non-farmer) investor equity and demutualization or transformation into investor-oriented ownership firms (e.g., Limited Liabilities Cooperatives (LLCs) to ameliorate perceived financial constraints for high technology investments. These changes introduced added complexity to investors' expectations of equity and to the valuation of NGC and LLC stocks, especially for stock traded among members. Current stock valuation methods do not capture NGC-specific characteristics such as social capital, liquidity constraints, and ongoing demutualization to LLCs. Social capital is the premium paid for non-monetary benefits available to NGC members such as crop quality control. Liquidity is important because NGC stocks have low trading volumes. The objective of this study is to use publicly available data of stock traded between NGC and LLC investors to evaluate investors' expectations of changes in growth and social capital and derive implications on the firm. The data set used comprised of 565 observations for NGCs for the period from 1996 to 2004, 175 observations for LLCs for the period from 2003 to 2004, and 127 observations for NGCs that transformed into LLCs, for the period from 1997 to 2004. A two-step linear regression model using earnings price ratio and the realized rate of return as the dependent variables, and risk, liquidity, social capital, and expectation of change in growth as the independent variables, was used for the analysis. In the first step, we estimate NGC and LLC earnings price ratios, and we derive investors' expectations of changes in earnings growth. In the second step, we analyze the impact of systematic risk, social capital, liquidity, expectations of changes in growth and seasonality on NGC and LLC realized returns. The results suggest that non-systematic risk factors (size, dividend, leverage, and earnings variability) are important determinants of NGC and LLC equity or earnings price ratio and that systematic risk negatively impacts NGC and LLC realized returns. In addition, social capital positively affects NGC and LLC earnings price ratio, but has no significant effect on NGC and LLC realized returns. Liquidity affects LLC earnings price ratio at the 10% significance level. The findings reveal that investors have negative expectations (higher future stock values) about NGC future earnings growth at the 1% significance level but there is no significant expectation effect on LLC realized returns. NGCs and LLCs managers could maintain low-risk investments and increase social capital services to build loyalty among current investors and attract additional infusion of equity capital from outside investors.

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  • Akono, Jean H.C. & Nganje, William E. & Kaitibie, Simeon & Gustafson, Cole R., 2005. "Investor'S Expectations Of New Generation Cooperatives' Equity," Agribusiness & Applied Economics Report 23633, North Dakota State University, Department of Agribusiness and Applied Economics.
  • Handle: RePEc:ags:nddaae:23633

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    1. Julie A. Caswell & Eliza M. Mojduszka, 1996. "Using Informational Labeling to Influence the Market for Quality in Food Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, pages 1248-1253.
    2. Swofford, James L & Whitney, Gerald A, 1986. "Flexible Functional Forms and the Utility Approach to the Demand for Money: A Nonparametric Analysis: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(3), pages 383-389, August.
    3. Choi, Seungmook & Sosin, Kim, 1992. "Structural Change in the Demand for Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 24(2), pages 226-238, May.
    4. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    5. Hal R. Varian, 1983. "Non-parametric Tests of Consumer Behaviour," Review of Economic Studies, Oxford University Press, vol. 50(1), pages 99-110.
    6. Chalfant, James A & Alston, Julian M, 1988. "Accounting for Changes in Tastes," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 391-410, April.
    7. Yong Sakong & Dermot J. Hayes, 1993. "Testing the Stability of Preferences: A Nonparametric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 269-277.
    8. Walter N. Thurman, 1987. "The Poultry Market: Demand Stability and Industry Structure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(1), pages 30-37.
    9. Caswell, Julie A., 1998. "How Labeling of Safety and Process Attributes Affects Markets for Food," Agricultural and Resource Economics Review, Cambridge University Press, vol. 27(02), pages 151-158, October.
    10. Alston, Julian M. & Chalfant, James A., 1991. "Can We Take The Con Out Of Meat Demand Studies?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(01), July.
    11. Dermot J. Hayes & Thomas I. Wahl & Gary W. Williams, 1990. "Testing Restrictions on a Model of Japanese Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 556-566.
    12. Hildenbrand, Werner, 1989. "The Weak Axiom of Revealed Preference for Market Demand Is Strong," Econometrica, Econometric Society, vol. 57(4), pages 979-985, July.
    13. Spencer Henson & Mario Mazzocchi, 2002. "Impact of Bovine Spongiform Encephalopathy on Agribusiness in the United Kingdom: Results of an Event Study of Equity Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 370-386.
    14. Ueda, Takeshi & Frechette, Darren L., 2002. "Have Milk Fat Preferences Shifted? Structural Analysis of New York Milk Consumption," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), April.
    15. Latouche, K. & Rainelli, P. & Vermersch, D., 1998. "Food safety issues and the BSE scare: some lessons from the French case," Food Policy, Elsevier, vol. 23(5), pages 347-356, October.
    16. Foster, William & Just, Richard E., 1989. "Measuring welfare effects of product contamination with consumer uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 266-283, November.
    17. Famulari, Melissa, 1995. "A Household-Based, Nonparametric Test of Demand Theory," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 372-382, May.
    18. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    19. Frechette, Darren L. & Jin, Hyun-Joung, 2002. "Distinguishing transitory nonlinear shocks from permanent structural change," Structural Change and Economic Dynamics, Elsevier, vol. 13(2), pages 231-248, June.
    20. M. P. Burton & T. Young, 1991. "Non-Parametric Tests For Changes In Consumer Preferences For Meat In Great Britain," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(2), pages 138-145.
    21. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
    22. Ashenfelter, Orley & Sullivan, Daniel, 1987. "Nonparametric Tests of Market Structure: An Application to the Cigarette Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 483-498, June.
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