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Monetary policy and large crises in a financial accelerator agent-based model
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Monetary policy and large crises in a financial accelerator agent-based model

Author

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  • Giri, Federico
  • Riccetti, Luca
  • Russo, Alberto
  • Gallegati, Mauro

Abstract

An accommodating monetary policy followed by a sudden increase of the short term interest rate often leads to a bubble burst and to an economic slowdown. Two examples are the Great Depression of 1929 and the Great Recession of 2008. Through the implementation of an Agent Based Model with a financial accelerator mechanism we are able to study the relationship between monetary policy and large scale crisis events. The main results can be summarized as follow: a) sudden and sharp increases of the policy rate can generate recessions; b) after a crisis, returning too soon and too quickly to a normal monetary policy regime can generate a \double dip" recession, while c) keeping the short term interest rate anchored to the zero lower bound in the short run can successfully avoid a further slowdown.

Suggested Citation

  • Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    • Handle: RePEc:zbw:fmpwps:65
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    7. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
    8. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    9. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    10. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
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    More about this item

    Keywords

    Monetary Policy; Large Crises; Agent Based Model; Financial Accelerator; Zero Lower Bound;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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