IDEAS home Printed from https://ideas.repec.org/p/ags/aare92/146421.html
   My bibliography  Save this paper

Optimal Leverage for the Utility Maximizing Firm

Author

Listed:
  • Bardsley, Peter

Abstract

No abstract is available for this item.

Suggested Citation

  • Bardsley, Peter, 1992. "Optimal Leverage for the Utility Maximizing Firm," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146421, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare92:146421
    DOI: 10.22004/ag.econ.146421
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/146421/files/1992-01-10-12.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.146421?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bardsley, Peter, 1991. "Global measures of risk aversion," Journal of Economic Theory, Elsevier, vol. 55(1), pages 145-160, October.
    2. Sandmo, Agnar, 1971. "On the Theory of the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 61(1), pages 65-73, March.
    3. Zeckhauser, Richard & Keeler, Emmett, 1970. "Another Type of Risk Aversion," Econometrica, Econometric Society, vol. 38(5), pages 661-665, September.
    4. Hawawini, Gabriel, 1978. "A mean-standard deviation exposition of the theory of the firm under uncertainty," MPRA Paper 10148, University Library of Munich, Germany.
    5. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-430, June.
    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. Karpavičius, Sigitas & Yu, Fan, 2019. "Managerial risk incentives and a firm’s financing policy," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 167-181.

    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. Thomas Eichner & Andreas Wagener, 2009. "Multiple Risks and Mean-Variance Preferences," Operations Research, INFORMS, vol. 57(5), pages 1142-1154, October.
    2. Robison, Lindon J. & Hanson, Steven D., 1995. "Analyzing Firm Response to Risk Using Mean-Variance Models," Staff Paper Series 201207, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. Fatma Lajeri-Chaherli, 2016. "On The Concavity And Quasiconcavity Properties Of ( Σ , Μ ) Utility Functions," Bulletin of Economic Research, Wiley Blackwell, vol. 68(3), pages 287-296, April.
    4. Vergara, Marcos & Bonilla, Claudio A., 2021. "Precautionary saving in mean-variance models and different sources of risk," Economic Modelling, Elsevier, vol. 98(C), pages 280-289.
    5. Thomas Eichner & Andreas Wagener, 2002. "Increases in Risk and the Welfare State," CESifo Working Paper Series 685, CESifo.
    6. Barrett, Christopher B., 1999. "The effects of real exchange rate depreciation on stochastic producer prices in low-income agriculture," Agricultural Economics, Blackwell, vol. 20(3), pages 215-230, May.
    7. Thomas Eichner & Rüdiger Pethig, 2015. "Efficient Management of Insecure Fossil Fuel Imports through Taxing Domestic Green Energy?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(5), pages 724-751, October.
    8. Z. Bar‐Shira & R.E. Just & D. Zilberman, 1997. "Estimation of farmers' risk attitude: an econometric approach," Agricultural Economics, International Association of Agricultural Economists, vol. 17(2-3), pages 211-222, December.
    9. Harvey Lapan & Giancarlo Moschini & Steven D. Hanson, 1991. "Production, Hedging, and Speculative Decisions with Options and Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(1), pages 66-74.
    10. Gregory L. Poe & Richard M. Klemme & Shawn J. McComb & John E. Ambrosious, 1991. "Commodity Programs and the Internalization of Erosion Costs: Do They Affect Crop Rotation Decisions?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 13(2), pages 223-235.
    11. Hurley, Terrance M., 2010. "A review of agricultural production risk in the developing world," Working Papers 188476, HarvestChoice.
    12. Lajeri-Chaherli, Fatma, 2003. "Partial derivatives, comparative risk behavior and concavity of utility functions," Mathematical Social Sciences, Elsevier, vol. 46(1), pages 81-99, August.
    13. Gelles, Gregory M. & Mitchell, Douglas W., 1999. "Ordering utility functions based on mean-seeking behavior," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(3), pages 317-328.
    14. Just, Richard E. & Just, David R., 2011. "Global identification of risk preferences with revealed preference data," Journal of Econometrics, Elsevier, vol. 162(1), pages 6-17, May.
    15. Serra, Teresa & Goodwin, Barry K. & Featherstone, Allen M., 2011. "Risk behavior in the presence of government programs," Journal of Econometrics, Elsevier, vol. 162(1), pages 18-24, May.
    16. Meyer, Jack, 1988. "Two Moment Decision Models And Expected Utility Maximization: Some Implications For Applied Research," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272846, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    17. Hennessy, David A., 1998. "Industry equilibrium under price distribution and cost shifts," Journal of Economics and Business, Elsevier, vol. 50(6), pages 509-523, November.
    18. Mirman, Leonard J. & Santugini, Marc, 2013. "Firms, shareholders, and financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 152-164.
    19. Marra, Michele C. & Schurle, Bryan W., 1994. "Kansas Wheat Yield Risk Measures And Aggregation: A Meta- Analysis Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-9, July.
    20. Philippe Bontems & Celine Nauges, 2018. "Production choices with water markets and risk aversion: the role of initial allocations and forward trading," Post-Print hal-02349932, HAL.

    More about this item

    Keywords

    Industrial Organization;

    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:aare92:146421. 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/aaresea.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.