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Optimal contracts, aggregate risk and the financial accelerator

Author

Listed:
  • Fuerst, Timothy

    (University of Notre Dame and Federal Reserve Bank of Cleveland)

  • Carlstrom, Charles

    (Federal Reserve Bank of Cleveland)

  • Paustian, Matthias

    (Federal Reserve Board)

Abstract

This paper derives the optimal lending contract in the financial accelerator model of Bernanke, Gertler and Gilchrist (BGG). The optimal contract includes indexation to the aggregate return on capital, household consumption, and the return to internal funds. This triple indexation results in a dampening of fluctuations in leverage and the risk premium. Hence, compared to the contract originally imposed by BGG, the privately optimal contract implies essentially no financial accelerator.

Suggested Citation

  • Fuerst, Timothy & Carlstrom, Charles & Paustian, Matthias, 2014. "Optimal contracts, aggregate risk and the financial accelerator," Bank of England working papers 517, Bank of England.
  • Handle: RePEc:boe:boeewp:0517
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    Cited by:

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    2. Pintus, Patrick A. & Wen, Yi & Xing, Xiaochuan, 2022. "The inverted leading indicator property and redistribution effect of the interest rate," European Economic Review, Elsevier, vol. 148(C).
    3. Pierluigi Balduzzi & Emanuele Brancati & Marco Brianti & Fabio Schiantarelli, 2020. "Credit Constraints anf Firms' Decisions: Evidence from the COVID-19 Outbreak Italian Firms’ Expectations and Plans," Boston College Working Papers in Economics 1013, Boston College Department of Economics, revised 07 Oct 2022.
    4. Stephane Verani, 2018. "Aggregate Consequences of Dynamic Credit Relationships," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 44-67, July.
    5. Raouf Boucekkine & Giorgio Fabbri & Patrick A. Pintus, 2018. "Short-run pain, long-run gain: the conditional welfare gains from international financial integration," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 329-360, March.
    6. Adrien Auclert, 2019. "Monetary Policy and the Redistribution Channel," American Economic Review, American Economic Association, vol. 109(6), pages 2333-2367, June.
    7. Raouf Boucekkine & Giorgio Fabbri & Patrick A. Pintus, 2018. "Short-run pain, long-run gain: the conditional welfare gains from international financial integration," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 329-360, March.
    8. Balduzzi, Pierluigi & Brancati, Emanuele & Brianti, Marco & Schiantarelli, Fabio, 2020. "The Economic Effects of COVID-19 and Credit Constraints: Evidence from Italian Firms' Expectations and Plans," IZA Discussion Papers 13629, Institute of Labor Economics (IZA).
    9. Barbara Annicchiarico & Marco Carli & Francesca Diluiso, 2022. "Climate Policies, Macroprudential Regulation, and the Welfare Cost of Business Cycles," CEIS Research Paper 543, Tor Vergata University, CEIS, revised 31 Oct 2022.
    10. Gete, Pedro & Melkadze, Givi, 2018. "Aggregate volatility and international dynamics. The role of credit supply," Journal of International Economics, Elsevier, vol. 111(C), pages 143-158.
    11. Giacomo Candian & Mikhail Dmitriev, 2020. "Risk Aversion, Uninsurable Idiosyncratic Risk, and the Financial Accelerator," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 299-322, July.
    12. Lewis, Vivien & Roth, Markus, 2018. "Interest rate rules under financial dominance," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 70-88.
    13. Dr. Gregor Bäurle & Sarah M. Lein & Elizabeth Steiner, 2022. "Firm net worth, external finance premia and monitoring cost - estimates based on firm-level data," Working Papers 2022-07, Swiss National Bank.
    14. Candian, Giacomo & Dmitriev, Mikhail, 2020. "Optimal contracts and supply-driven recessions," Economics Letters, Elsevier, vol. 197(C).
    15. Josef Schosser & Jochen Wilhelm, 2018. "Costly state verification and truthtelling: a note on the theory of debt contracts," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 6(2), pages 129-139, October.
    16. Pancrazi, Roberto & Seoane, Hernán D. & Vukotic, Marija, 2016. "The price of capital and the financial accelerator," Economics Letters, Elsevier, vol. 149(C), pages 86-89.
    17. von Campe, Roland, 2024. "Unconventional monetary policy, financial frictions, and the equity tandem," Journal of Macroeconomics, Elsevier, vol. 79(C).
    18. Wang, Chenxi, 2022. "Firm asset structure and risk aversion," Economics Letters, Elsevier, vol. 221(C).
    19. Strobel, Johannes & Lee, Gabriel & Dorofeenko, Victor & Salyer, Kevin, 2019. "Time-Varying Risk Shocks and the Zero Lower Bound," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203491, Verein für Socialpolitik / German Economic Association.
    20. Alfred Duncan & Charles Nolan, 2015. "Objectives and Challenges of Macroprudential Policy," Working Papers 2015_22, Business School - Economics, University of Glasgow.
    21. Alfred Duncan, 2016. "Private information and business cycle risk sharing," Working Papers 2016_02, Business School - Economics, University of Glasgow.
    22. Wong, Chin-Yoong & Eng, Yoke-Kee, 2018. "Is optimal Islamic financial contract stabilizing? The perspective of a New Keynesian model with the financial accelerator," Economic Modelling, Elsevier, vol. 71(C), pages 121-133.
    23. Francesco Ferlaino, 2024. "Does the financial accelerator accelerate inequalities?," Working Papers 538, University of Milano-Bicocca, Department of Economics.
    24. Rivero-Leiva, David, 2022. "A note on the costly state verification problem with information gathering," Finance Research Letters, Elsevier, vol. 50(C).

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    More about this item

    Keywords

    financial accelerator; optimal contracts; aggregate risk;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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