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Stability periods between financial crises: The role of macroeconomic fundamentals and crises management policies

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Abstract

The aim of this paper is to identify which factors explain why some countries are more prone to enjoy long durations of stability, while others experience crises in shorter intervals. To this end, we analyze the duration of stability periods between currency, debt, and banking crises from 1980 to 2008. We find that durations of tranquility between currency and debt crises are bimodally distributed, making conventional econometric models unsuitable. Therefore, we introduce an innovative econometric strategy, the Finite Mixture Model. Real and financial variables are found to have high predictive power for the spell of stability between currency crises, while for debt crises, the real interest rate is observed to be the best predictor. The time between the occurrence of systemic financial crises is prolonged through large-scale government interventions and IMF aid programs, while recapitalization turns out to have a negative impact

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  • Zorobabel Bicaba & Daniel Kapp & Francesco Molteni, 2011. "Stability periods between financial crises: The role of macroeconomic fundamentals and crises management policies," Documents de travail du Centre d'Economie de la Sorbonne 11064, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Handle: RePEc:mse:cesdoc:11064
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    Cited by:

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    2. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    3. Kapp, Daniel & Vega, Marco, 2012. "The Real Output Costs of Financial Crisis: A Loss Distribution Approach," Working Papers 2012-013, Banco Central de Reserva del Perú.
    4. Hashed Mabkhot & Hamid Abdulkhaleq Hasan Al-Wesabi, 2022. "Banks’ Financial Stability and Macroeconomic Key Factors in GCC Countries," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    5. Abiad, Abdul & Bluedorn, John & Guajardo, Jaime & Topalova, Petia, 2015. "The Rising Resilience of Emerging Market and Developing Economies," World Development, Elsevier, vol. 72(C), pages 1-26.
    6. Spataro, Luca & Fanti, Luciano & Pacini, Pier Mario, 2019. "Saving, fertility and public policy in an overlapping generations small open economy," Economic Modelling, Elsevier, vol. 81(C), pages 16-29.

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    More about this item

    Keywords

    Financial crises; finite mixture model; duration; bimodality;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • G01 - Financial Economics - - General - - - Financial Crises
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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