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Productivity shocks and hedging: theory and evidence

  • Marcello SPANO'

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    This work compares two models of corporate hedging, to show how optimal investment, debt, and hedging strategy can be strongly depen-dent on the mechanism linking the firm's internal funds to its return on investment. Approximated analytical solutions for hedging are ob-tained to shed light on the di . erent empirical implications associated with the two mechanisms. The latter appear to be distinguishable by observing the correlation between investment and debt under a pro-ductivity shock. Empirical evidence on the two mechanisms provides mixed results

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    File URL: http://wp.demm.unimi.it/tl_files/wp/2003/DEMM-2003_026wp.pdf
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    Paper provided by Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano in its series Departmental Working Papers with number 2003-26.

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    Date of creation: 01 Jan 2003
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    Handle: RePEc:mil:wpdepa:2003-26
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    1. Steven M. Fazzari & R. Glenn Hubbard & BRUCE C. PETERSEN, 1988. "Financing Constraints and Corporate Investment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 141-206.
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    4. Michael Salinger & Lawrence H. Summers, 1983. "Tax Reform and Corporate Investment: A Microeconometric Simulation Study," NBER Chapters, in: Behavioral Simulation Methods in Tax Policy Analysis, pages 247-288 National Bureau of Economic Research, Inc.
    5. Chris Mallin & Kean Ow-Yong & Martin Reynolds, 2001. "Derivatives usage in UK non-financial listed companies," The European Journal of Finance, Taylor & Francis Journals, vol. 7(1), pages 63-91.
    6. Froot, Kenneth A & Scharfstein, David S & Stein, Jeremy C, 1993. " Risk Management: Coordinating Corporate Investment and Financing Policies," Journal of Finance, American Finance Association, vol. 48(5), pages 1629-58, December.
    7. Rebello Michael J., 1995. "Adverse Selection Costs and the Firm's Financing and Insurance Decisions," Journal of Financial Intermediation, Elsevier, vol. 4(1), pages 21-47, January.
    8. Michael Devereux & Fabio Schiantarelli, 1990. "Investment, Financial Factors, and Cash Flow: Evidence from U.K. Panel Data," NBER Chapters, in: Asymmetric Information, Corporate Finance, and Investment, pages 279-306 National Bureau of Economic Research, Inc.
    9. Jack E. Triplett, 1999. "The Solow productivity paradox: what do computers do to productivity?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 309-334, April.
    10. Erik Brynjolfsson & Lorin Hitt, 1997. "Information Technology as a Factor of Production: The Role of Differences Among Firms," Working Paper Series 201, MIT Center for Coordination Science.
    11. Froot, Kenneth A. & Dabora, Emil M., 1999. "How are stock prices affected by the location of trade?," Journal of Financial Economics, Elsevier, vol. 53(2), pages 189-216, August.
    12. Bruce C. Greenwald & Joseph E. Stiglitz, 1988. "Financial Market Imperfections and Business Cycles," NBER Working Papers 2494, National Bureau of Economic Research, Inc.
    13. Perfect, Steven B. & Wiles, Kenneth W., 1994. "Alternative constructions of Tobin's q: An empirical comparison," Journal of Empirical Finance, Elsevier, vol. 1(3-4), pages 313-341, July.
    14. Kaplan, Steven N & Zingales, Luigi, 1997. "Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 169-215, February.
    15. DeMarzo, Peter M & Duffie, Darrell, 1995. "Corporate Incentives for Hedging and Hedge Accounting," Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 743-71.
    16. Schiantarelli, Fabio, 1996. "Financial Constraints and Investment: Methodological Issues and International Evidence," Oxford Review of Economic Policy, Oxford University Press, vol. 12(2), pages 70-89, Summer.
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