IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/77754.html

Macroeconomic Imbalances in euro- and non-euro area member states

Author

Listed:
  • Bobeva, Daniela
  • Atanasov, Atanas

Abstract

The recent reforms in the European economic governance framework add to the Stability and Growth pact requirements for establishing a new macroeconomic surveillance mechanism for both euro area and non-euro area countries. The early identification and the prevention of imbalances are of vital importance in a monetary union due to the limitations they impose on the tools available to economic policymaking. This paper examines the macroeconomic imbalances in the euro area countries in comparison with the non-euro area countries based on the set of indicators in the Scoreboard that is part of the Macroeconomic Imbalance Procedure (MIP), introduced in 2011. While the aim of the new alert mechanism is to identify potential risks this study goes further in measuring the level of risks by the scope of the deviation from the established thresholds. For this purpose an Integral Macroeconomic Imbalance Indicator (IMII) is constructed. It serves for comparing the level of imbalances between the countries in pre- and post-crisis period. The composed IMII indicates a tangible reduction in the scale of imbalances as compared to the pre-crisis period but the divergence between the countries enlarges. The results undermine the assumptions that the euro area countries will exhibit fewer imbalances as compared to the countries outside of the monetary union. Based on the dynamics of IMII it could be assumed that maintaining the macroeconomic framework within the thresholds is necessary but not sufficient to prevent future crisis. The results further question the ability of the alert mechanism to identify the sources of a future crisis.

Suggested Citation

  • Bobeva, Daniela & Atanasov, Atanas, 2016. "Macroeconomic Imbalances in euro- and non-euro area member states," MPRA Paper 77754, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:77754
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/77754/1/MPRA_paper_77754.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:cbk:journl:v:1:y:2013:i:3:p:69-88 is not listed on IDEAS
    2. Orsolya Csortos & Zoltán Szalai, 2013. "Assessment of macroeconomic imbalance indicators," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 8(3), pages 14-24, October.
    3. Hickey, Ronan & Kane, Linda, 2014. "Ireland and the Macroeconomic Imbalance Procedure," Quarterly Bulletin Articles, Central Bank of Ireland, pages 70-81, July.
    4. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
    5. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    6. Daniela Bobeva, 2013. "The new EU Macroeconomic Imbalances Procedure and its Relevance for the Candidate Countries," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 2(1), pages 69-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Ignat Ignatov, 2023. "Convergence Determinants and Club Formation in the EU over 1999-2021," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 37-63.

    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. Tölö, Eero, 2019. "Predicting systemic financial crises with recurrent neural networks," Bank of Finland Research Discussion Papers 14/2019, Bank of Finland.
    2. Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018. "Forecasting banking crises with dynamic panel probit models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
    3. Iana Liadze & Ray Barrell & Professor E. Philip Davis, 2010. "The Effects of Banking Crises on Potential Output in OECD Countries," National Institute of Economic and Social Research (NIESR) Discussion Papers 358, National Institute of Economic and Social Research.
    4. Christensen, Ian & Li, Fuchun, 2014. "Predicting financial stress events: A signal extraction approach," Journal of Financial Stability, Elsevier, vol. 14(C), pages 54-65.
    5. Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    6. Savas Papadopoulos & Pantelis Stavroulias & Thomas Sager, 2019. "Systemic early warning systems for EU14 based on the 2008 crisis: proposed estimation and model assessment for classification forecasting," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(3), pages 226-244, September.
    7. Benoît Carmichael & Jean Armand Gnagne & Kevin Moran, 2015. "Securities Transactions Taxes and Financial Crises," Cahiers de recherche 1515, CIRPEE.
    8. Tom Roberts, 2017. "A Counterfactual Valuation of the Stock Index as a Predictor of Crashes," Staff Working Papers 17-38, Bank of Canada.
    9. Salma Gallas & Houssam Bouzgarrou & Montassar Zayati, 2024. "Balancing financial stability and economic growth: a comprehensive analysis of macroprudential regulation," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 1005-1033, December.
    10. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    11. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    12. Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
    13. Schudel, Willem, 2015. "Shifting horizons: assessing macro trends before, during, and following systemic banking crises," Working Paper Series 1766, European Central Bank.
    14. de Haan, Jakob & Fang, Yi & Jing, Zhongbo, 2020. "Does the risk on banks’ balance sheets predict banking crises? New evidence for developing countries," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 254-268.
    15. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, December.
    16. Lorenzo Danieli & Petr Jakubik, 2022. "Early Warning System for the European Insurance Sector," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(1), pages 3-21, January.
    17. Musdholifah Musdholifah & Ulil Hartono, 2017. "Assesing Early Warning System Model for Banking Crisis in ASEAN Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 358-364.
    18. Tölö, Eero, 2019. "Predicting systemic financial crises with recurrent neural networks," Research Discussion Papers 14/2019, Bank of Finland.
    19. Agliardi, Elettra & Pinar, Mehmet & Stengos, Thanasis, 2014. "A sovereign risk index for the Eurozone based on stochastic dominance," Finance Research Letters, Elsevier, vol. 11(4), pages 375-384.
    20. Barrell, Ray & Davis, E. Philip & Karim, Dilruba & Liadze, Iana, 2010. "Bank regulation, property prices and early warning systems for banking crises in OECD countries," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2255-2264, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • F40 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - General
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • F45 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Macroeconomic Issues of Monetary Unions
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:77754. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.