IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v24y2018icp278-288.html
   My bibliography  Save this article

Unwinding ZIRP: A simulation analysis

Author

Listed:
  • Feldman, Todd

Abstract

This paper sets up a zero interest rate policy (ZIRP) experiment, using a two-market agent-based simulation model, in order to analyze the price dynamics of a large and small stock market during the unwinding of a simulated ZIRP. Different unwinding paths are created to determine which path has the most stabilizing impact on both the large and small stock market. Results indicate, that increasing the interest rate every three months create significant financial crises and negative stock market returns. However, increasing the rate every year leads to only modest declines in the large and small stock market. Moreover, the size of the interest rate change plays a much smaller role then the frequency of the rate changes. Rate increases every quarter creates 20% market corrections in the large market during the unwinding phase, as opposed to 4% downside when rate changes occur once a year.

Suggested Citation

  • Feldman, Todd, 2018. "Unwinding ZIRP: A simulation analysis," Finance Research Letters, Elsevier, vol. 24(C), pages 278-288.
  • Handle: RePEc:eee:finlet:v:24:y:2018:i:c:p:278-288
    DOI: 10.1016/j.frl.2017.09.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612317301241
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2017.09.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Feldman, Todd, 2010. "Portfolio manager behavior and global financial crises," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 192-202, August.
    2. repec:hal:wpspec:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    3. Arifovic, Jasmina & Dawid, Herbert & Deissenberg, Christophe & Kostyshyna, Olena, 2010. "Learning benevolent leadership in a heterogenous agents economy," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1768-1790, September.
    4. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models: A New Tool for Economic and Policy Analysis," Sciences Po publications info:hdl:2441/121881fn7h9, Sciences Po.
    5. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," SciencePo Working papers Main hal-03461262, HAL.
    6. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
    7. repec:hal:spmain:info:hdl:2441/121881fn7h9haadnuq3gp3ujjd is not listed on IDEAS
    8. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    9. repec:hal:wpspec:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
    10. Friedman, Daniel & Abraham, Ralph, 2009. "Bubbles and crashes: Gradient dynamics in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 922-937, April.
    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. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    2. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    3. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction - Improving the Toolbox: New Advances in Agent-Based and Computational Models," SciencePo Working papers Main hal-01053562, HAL.
    4. repec:hal:spmain:info:hdl:2441/2qdhj5485p93jrnf08s1meeap9 is not listed on IDEAS
    5. repec:hal:spmain:info:hdl:2441/dcditnq6282sbu1u151qe5p7f is not listed on IDEAS
    6. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    7. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    8. repec:hal:spmain:info:hdl:2441/5bnglqth5987gaq6dhju3psjn3 is not listed on IDEAS
    9. Arifovic, Jasmina & Yıldızoğlu, Murat, 2019. "Learning the Ramsey outcome in a Kydland & Prescott economy," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 191-208.
    10. Caleb Stroup, 2017. "International Deal Experience And Cross-Border Acquisitions," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 73-97, January.
    11. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea & Treibich, Tania, 2015. "Fiscal and monetary policies in complex evolving economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 166-189.
    12. Pierre Gosselin & Aïleen Lotz & Marc Wambst, 2019. "A Statistical Field Approach to Capital Accumulation," Working Papers hal-02280634, HAL.
    13. Schmitt, Noemi & Westerhoff, Frank, 2014. "Speculative behavior and the dynamics of interacting stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 262-288.
    14. Silveira, Jaylson Jair da & Lima, Gilberto Tadeu, 2015. "Conquering Credibility for Monetary Policy under Sticky Confidence," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(2), June.
    15. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    16. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    17. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    18. Todd Feldman & Shuming Liu, 2018. "A New Predictive Measure Using Agent-Based Behavioral Finance," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 941-959, April.
    19. Brzezicka Justyna & Wisniewski Radosław, 2014. "Price Bubble In The Real Estate Market - Behavioral Aspects," Real Estate Management and Valuation, Sciendo, vol. 22(1), pages 1-14, March.
    20. Di Bartolomeo, Giovanni & Saltari, Enrico & Semmler, Willi, 2019. "The effects of political short-termism on transitions induced by pollution regulations," EconStor Preprints 200143, ZBW - Leibniz Information Centre for Economics.
    21. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 201-231.
    22. Pier-Paolo Saviotti & Andreas Pyka, 2017. "Innovation, structural change and demand evolution: does demand saturate?," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 337-358, April.
    23. Didier Blanchet & Cyrille Hagneré & François Legendre & Florence Thibault, 2015. "Introduction. Microsimulations statique et dynamique appliquées aux politiques fiscales et sociales : modèles et méthodes," Économie et Statistique, Programme National Persée, vol. 481(1), pages 5-30.

    More about this item

    Keywords

    Behavioral finance; Agent-based models; ZIRP;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:eee:finlet:v:24:y:2018:i:c:p:278-288. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.