IDEAS home Printed from https://ideas.repec.org/p/sur/surrec/0625.html

Managing Financial Crises

Author

Listed:
  • Gianluca Benigno

    (University of Lausanne and CEPR)

  • Alessandro Rebucci

    (Johns Hopkins University, CEPR and NBER)

  • Aliaksandr Zaretski

    (University of Surrey)

Abstract

In this paper, we revisit the question of how to manage financial crises using the framework proposed by Bianchi and Mendoza (2018). We show that this model economy exhibits a multiplicity of constrained-efficient equilibria, which arises because the private shadow value of collateral influences the forward-looking asset price. Among these equilibria, the specific one studied by Bianchi and Mendoza (2018) can be implemented using a tax/subsidy on debt alone. In that case, both the ex ante tax and ex post subsidy are quantitatively important for welfare under the optimal time-consistent policy. Limiting either component can lead to a welfare loss relative to the unregulated competitive equilibrium, highlighting the complementarity between crisis prevention and crisis resolution tools. We also show that, under certain conditions, all Pareto-dominant constrained-efficient equilibria entail the unconstrained allocation chosen by a social planner subject to the country budget constraint, and this allocation can be implemented with purely ex post policies.

Suggested Citation

  • Gianluca Benigno & Alessandro Rebucci & Aliaksandr Zaretski, 2025. "Managing Financial Crises," School of Economics Discussion Papers 0625, School of Economics, University of Surrey.
    • Handle: RePEc:sur:surrec:0625
    as

    Download full text from publisher

    File URL: https://repec.som.surrey.ac.uk/2025/DP06-25.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    2. Ottonello, Pablo & Perez, Diego J. & Varraso, Paolo, 2022. "Are collateral-constraint models ready for macroprudential policy design?," Journal of International Economics, Elsevier, vol. 139(C).
    Full references (including those not matched with items on IDEAS)

    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. Richard Pierse, 2006. "Optimal control in nonlinear models: a generalised Gauss-Newton algorithm with analytic derivatives," School of Economics Discussion Papers 0906, School of Economics, University of Surrey.
    2. Adjemian, Stéphane & Juillard, Michel, 2025. "Stochastic Extended Path," Dynare Working Papers 84, CEPREMAP, revised Sep 2025.
    3. Francisco Gallego & Andrés Hernando, 2009. "School Choice in Chile: Looking at the Demand Side," Documentos de Trabajo 356, Instituto de Economia. Pontificia Universidad Católica de Chile..
    4. Claude Hillinger, 2002. "A General Theory of Price and Quantity Aggregation and Welfare Measurement," CESifo Working Paper Series 818, CESifo.
    5. Salerno, Gillian & Beard, Rodney & McDonald, Stuart, 2007. "Rent Seeking Behavior and Optimal Taxation of Pollution in Shallow Lakes," MPRA Paper 11225, University Library of Munich, Germany, revised 22 Oct 2008.
    6. Maria Casanova-Rivas, 2008. "Dynamic Complementarities: A Computational and Empirical Analysis of Couples' Retirement Decisions," 2008 Meeting Papers 1073, Society for Economic Dynamics.
    7. Andreas Lanz & Gregor Reich & Ole Wilms, 2022. "Adaptive grids for the estimation of dynamic models," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 179-238, June.
    8. Karantounias, Anastasios G., 2023. "Doubts about the model and optimal policy," Journal of Economic Theory, Elsevier, vol. 210(C).
    9. Pelin Ilbas, 2006. "Optimal Monetary Policy rules for the Euro area in a DSGE framework," Working Papers of Department of Economics, Leuven ces0613, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    10. Atanas Christev, 2006. "Learning Hyperinflations," Computing in Economics and Finance 2006 475, Society for Computational Economics.
    11. Kollmann, Robert, 2003. "Monetary Policy Rules in an Interdependent World," CEPR Discussion Papers 4012, Centre for Economic Policy Research.
    12. Borovička, Jaroslav & Hansen, Lars Peter, 2014. "Examining macroeconomic models through the lens of asset pricing," Journal of Econometrics, Elsevier, vol. 183(1), pages 67-90.
    13. Frölich, Markus & Lechner, Michael, 2010. "Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1014-1029.
    14. Nikolaj Malchow-Møller & Michael Svarer, 2003. "Estimation of the multinomial logit model with random effects," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 389-392.
    15. Gomme, Paul & Klein, Paul, 2011. "Second-order approximation of dynamic models without the use of tensors," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 604-615, April.
    16. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
    17. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 185-206, May.
    18. Levine, Paul & Pearlman, Joseph & Pierse, Richard, 2008. "Linear-quadratic approximation, external habit and targeting rules," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3315-3349, October.
    19. Hendrik Thiel & Stephan L. Thomsen, 2015. "Individual Poverty Paths and the Stability of Control-Perception," SOEPpapers on Multidisciplinary Panel Data Research 794, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Heer Burkhard & Maußner Alfred, 2011. "Value Function Iteration as a Solution Method for the Ramsey Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(4), pages 494-515, August.

    More about this item

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • F38 - International Economics - - International Finance - - - International Financial Policy: Financial Transactions Tax; Capital Controls
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sur:surrec:0625. 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: Ioannis Lazopoulos (email available below). General contact details of provider: https://edirc.repec.org/data/desuruk.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.