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To each according to her luck and power: Optimal corporate governance and compensation policy in a dynamic world

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  • Thomas H. Noe

    ()

  • Michael J. Rebello

Abstract

We model long-run firm performance, management compensation, and corporate governance in a dynamic, nonstationary world. We show that managerial compensation and governance policies, which, in a single-period context, can best be rationalized by self-serving managerial influence over board policy, are shareholder-wealth maximizing in a dynamic setting. For example, shareholder wealth is maximized by governance policies that tie board deference to generous compensation and link the level of current compensation more to luck than performance. Further, under shareholder-wealth maximizing polices, managerial diversion of firm resources for private consumption is likely to accompany stock price declines which immediately follow sustained price increases and lax board oversight. Unless the the likelihood of a control transfer is large, stock-based managerial compensation may not produce as much shareholder value as simple salary contracts.

Suggested Citation

  • Thomas H. Noe & Michael J. Rebello, 2007. "To each according to her luck and power: Optimal corporate governance and compensation policy in a dynamic world," OFRC Working Papers Series 2007fe06, Oxford Financial Research Centre.
  • Handle: RePEc:sbs:wpsefe:2007fe06
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    File URL: http://www.finance.ox.ac.uk/file_links/finecon_papers/2007fe06.pdf
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    References listed on IDEAS

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    1. Ole E. Barndorff-Nielsen & Neil Shephard, 2006. "Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(1), pages 1-30.
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    3. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2008. "Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise," Econometrica, Econometric Society, vol. 76(6), pages 1481-1536, November.
    4. Vetter, Mathias & Podolskij, Mark, 2006. "Estimation of Volatility Functionals in the Simultaneous Presence of Microstructure Noise and Jumps," Technical Reports 2006,51, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
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    More about this item

    Keywords

    governance; institutional design;

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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