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Debt contracts in the presence of performance manipulation

Author

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  • Ilan Guttman

    (New York University)

  • Iván Marinovic

    (Stanford University)

Abstract

Empirical evidence suggests that firms often manipulate reported numbers to avoid debt covenant violations. We study how a firm’s ability to manipulate reports affects the terms of its debt contracts and the resulting investment and manipulation decisions that the firm implements. Our model generates novel empirical predictions regarding the use and the level of debt covenant, the interest rate, the efficiency of investment decisions, and the likelihood of covenant violations. For example, the model predicts that the optimal debt contract for firms with relatively strong (weak) corporate governance (i.e., cost of manipulation) induces overinvestment (underinvestment). Moreover, for firms with strong (weak) corporate governance, an increase in corporate governance quality leads to tighter (looser) covenant, more (less) frequent covenant violations and lower (higher) interest rate. Our model highlights that the interest rate, which is a common proxy for the cost of debt, neither accounts for the distortion of investment efficiency nor the expected manipulation costs arising under debt financing. We propose a measure of cost of debt capital that accounts for these effects.

Suggested Citation

  • Ilan Guttman & Iván Marinovic, 2018. "Debt contracts in the presence of performance manipulation," Review of Accounting Studies, Springer, vol. 23(3), pages 1005-1041, September.
  • Handle: RePEc:spr:reaccs:v:23:y:2018:i:3:d:10.1007_s11142-018-9450-6
    DOI: 10.1007/s11142-018-9450-6
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    Cited by:

    1. Redouane Elkamhi & Latchezar Popov & Raunaq S. Pungaliya, 2023. "Financial maintenance covenants in bank loans," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1197-1255, November.
    2. Ya-Fang Wang & Yu-Chu Hsieh, 2023. "Credit Rating and Board Evaluation of Family Firms," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 16(1), pages 7-18, October.
    3. Kexing Ding & Baruch Lev & Xuan Peng & Ting Sun & Miklos A. Vasarhelyi, 2020. "Machine learning improves accounting estimates: evidence from insurance payments," Review of Accounting Studies, Springer, vol. 25(3), pages 1098-1134, September.

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    More about this item

    Keywords

    Asymmetric information; Debt contracts; Earnings management;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • G3 - Financial Economics - - Corporate Finance and Governance
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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