IDEAS home Printed from https://ideas.repec.org/p/ags/puaewp/153326.html
   My bibliography  Save this paper

Financial Vulnerability Of Midwest Grain Farms: Implications Of Price, Yield And Cost Shocks

Author

Listed:
  • Li, Shasha
  • Boehlje, Michael

Abstract

Recent years have witnessed increasing volatility in crop prices and yields, fertilizer prices, and farm asset values. In this study, the financial performance of illustrative Midwest grain farms with different scales, tenure status, and capital structures was examined under the shocks of volatile crop prices, yields, fertilizer prices, farmland value, and cash rent. Illustrative farms of 550, 1200, and 2500 acres were constructed reflecting the production activity for these farms with three different farmland ownership structures (15%, 50%, and 85% of land owned) and two capital structures measured by debt-to-asset ratio (25% and 50%). Absolute measures and financial ratios were used to evaluate the income, cashflow, debt servicing and equity position of these illustrative farms. The “stress test” results suggest that farms with modest size (i.e. 550 acres) and a large proportion of their land rented are very vulnerable irrespective of their leverage positions. Large size farms with modest leverage (25% debt-to-asset ratio) that combine rental and ownership of the land they operated have strong financial performance and limited vulnerability to price, cost, yield, and asset value shocks. And these farms can increase their leverage positions significantly (from 25% to 50% in this study) with only modest deterioration in their financial performance and a slight increase in their vulnerability. These results suggest that the perspective that farmers are resilient to price, cost, yield and asset value shocks because of the current low use of debt in the industry (an average of approximately 10% debt-to-asset ratio for the farming sector) does not adequately recognize the financial vulnerable of many typical family farms to those shocks.

Suggested Citation

  • Li, Shasha & Boehlje, Michael, 2013. "Financial Vulnerability Of Midwest Grain Farms: Implications Of Price, Yield And Cost Shocks," Working papers 153326, Purdue University, Department of Agricultural Economics.
  • Handle: RePEc:ags:puaewp:153326
    DOI: 10.22004/ag.econ.153326
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/153326/files/13-1Financial%20Vulnerability.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.153326?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Doye, Damona Grace, 1986. "Financial adjustment in US agriculture," ISU General Staff Papers 198601010800009068, Iowa State University, Department of Economics.
    2. Allen M. Featherstone & Timothy G. Baker, 1988. "Effects of Reduced Price and Income Supports on Farmland Rent and Value," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(2), pages 177-189.
    3. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tien D. N. Ho & John K. M. Kuwornu & Takuji W. Tsusaka, 2022. "Factors Influencing Smallholder Rice Farmers’ Vulnerability to Climate Change and Variability in the Mekong Delta Region of Vietnam," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(1), pages 272-302, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emeka Nkoro & Aham Kelvin Uko, 2016. "Exchange Rate and Inflation Volatility and Stock Prices Volatility: Evidence from Nigeria, 1986-2012," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(6), pages 1-4.
    2. Minot, Nicholas, 2014. "Food price volatility in sub-Saharan Africa: Has it really increased?," Food Policy, Elsevier, vol. 45(C), pages 45-56.
    3. Shively, Gerald E., 2001. "Price thresholds, price volatility, and the private costs of investment in a developing country grain market," Economic Modelling, Elsevier, vol. 18(3), pages 399-414, August.
    4. Athanasopoulos, George & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," Journal of Econometrics, Elsevier, vol. 164(1), pages 116-129, September.
    5. Eric Ghysels & Leonardo Iania & Jonas Striaukas, 2018. "Quantile-based Inflation Risk Models," Working Paper Research 349, National Bank of Belgium.
    6. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    7. Tomanova, Lucie, 2013. "Exchange Rate Volatility and the Foreign Trade in CEEC," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 267, Ekonomik Yaklasim Association.
    8. Coudert, Virginie & Mignon, Valérie, 2013. "The “forward premium puzzle” and the sovereign default risk," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 491-511.
    9. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.
    10. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    11. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    12. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    13. Adugna Lemi & Sisay Asefa, 2009. "Differential Impacts of Economic Volatility and Governance on Manufacturing and Non-Manufacturing Foreign Direct Investments: The Case of US Multinationals in Africa," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 35(3), pages 367-395.
    14. Zia-Ur- Rahman, 2019. "Influence of Excessive Expenditure of the Government in Perspective of Interest Rate and Money Circulation Which in Turn Affects the Growing Process in Pakistan," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 6(2), pages 120-129.
    15. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
    16. Taoufik Bouezmarni & Mohamed Doukali & Abderrahim Taamouti, 2024. "Testing Granger non-causality in expectiles," Econometric Reviews, Taylor & Francis Journals, vol. 43(1), pages 30-51, January.
    17. Li, Yuming, 1998. "Expected stock returns, risk premiums and volatilities of economic factors1," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 69-97, June.
    18. Evrim Imer-Ertunga, 2011. "Global financing conditions and sovereign debt yields of emerging market countries," Applied Financial Economics, Taylor & Francis Journals, vol. 21(4), pages 207-215.
    19. Ngene, Geoffrey & Tah, Kenneth A. & Darrat, Ali F., 2017. "Long memory or structural breaks: Some evidence for African stock markets," Review of Financial Economics, Elsevier, vol. 34(C), pages 61-73.
    20. Henry, Olan T. & Olekalns, Nilss & Suardi, Sandy, 2007. "Testing for rate dependence and asymmetry in inflation uncertainty: Evidence from the G7 economies," Economics Letters, Elsevier, vol. 94(3), pages 383-388, March.

    More about this item

    Keywords

    Agricultural Finance; Farm Management;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:puaewp:153326. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dapurus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.