IMF Working Papers

Constrained Efficient Borrowing with Sovereign Default Risk

By Juan Carlos Hatchondo, Leonardo Martinez, Francisco Roch

November 8, 2020

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Juan Carlos Hatchondo, Leonardo Martinez, and Francisco Roch. Constrained Efficient Borrowing with Sovereign Default Risk, (USA: International Monetary Fund, 2020) accessed October 10, 2024

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Summary

Using a quantitative sovereign default model, we characterize constrained efficient borrowing by a Ramsey government that commits to income-history-contingent borrowing paths taking as given ex-post optimal future default decisions. The Ramsey government improves upon the Markov government because it internalizes the effects of borrowing decisions in period t on borrowing opportunities prior to t. We show the effect of borrowing decisions in t on utility flows prior to t can be encapsulated by two single dimensional variables. Relative to a Markov government, the Ramsey government distorts borrowing decisions more when bond prices are more sensitive to borrowing, and changes in bond prices have a larger effect on past utility. In a quantitative exercise, more than 80% of the default risk is eliminated by a Ramsey government, without decreasing borrowing. The Ramsey government also has a higher probability of completing a successful deleveraging (without defaulting), while smoothing out the fiscal consolidation.

Subject: Asset prices, Bonds, Consumption, Debt default, External debt, Financial institutions, National accounts, Personal income, Prices

Keywords: Asset prices, Austerity, Bonds, Borrowing path, Borrowing plan, Choice need, Consumption, Debt default, Debt Dilution, Debt duration, Debt issuance, Debt Management, Debt path, Debt volatility, Deleveraging, Derivative function, Fiscal Rules, Global, Long-term Debt, Mkt. value, Optimization problem, Personal income, Ramsey government's borrowing plan, Sovereign Default, Time Inconsistency

Publication Details

  • Pages:

    61

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

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  • Series:

    Working Paper No. 2020/227

  • Stock No:

    WPIEA2020227

  • ISBN:

    9781513560366

  • ISSN:

    1018-5941