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

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  • Bicaba, Zorobabel
  • Kapp, Daniel
  • Molteni, Francesco

Abstract

This study aims to identify which factors explain why some countries enjoy long durations of stability, while others experience crises in shorter intervals. We analyze the duration of stability periods between currency, debt, and banking crises by employing an innovative econometric strategy, the Finite Mixture Model (FMM). Real and financial variables show high predictive power for stability spells between currency crises. Regarding debt crises, the real interest rate is observed to be the best predictor. The time between systemic financial crises appears to be prolonged through government interventions and through IMF program participation, while bank recapitalization has a negative impact.

Suggested Citation

  • Bicaba, Zorobabel & Kapp, Daniel & Molteni, Francesco, 2014. "Stability periods between financial crises: The role of macroeconomic fundamentals and crises management policies," Economic Modelling, Elsevier, vol. 43(C), pages 346-360.
  • Handle: RePEc:eee:ecmode:v:43:y:2014:i:c:p:346-360
    DOI: 10.1016/j.econmod.2014.08.013
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    Cited by:

    1. Daniel Kapp & Marco Vega, 2014. "Real output costs of financial crises: A loss distribution approach," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 37(103), pages 13-28, Abril.
    2. 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.
    3. 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," Documents de travail du Centre d'Economie de la Sorbonne 16041, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. 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.
    5. 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.

    More about this item

    Keywords

    Financial crises; Finite mixture model; Duration; Bimodality;

    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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