IDEAS home Printed from https://ideas.repec.org/p/tur/wpapnw/096.html
   My bibliography  Save this paper

Eurozone Economic Integration: Historical Developments and New Challenges Ahead

Author

Listed:
  • Bagliano Fabio C.

    (Department of Economics, Social Studies, Applied Mathematics and Statistics, and Collegio Carlo Alberto University of Turin, Torino, Italy)

  • Morana Claudio

    (University of Milano-Bicocca, Center for European Studies (CefES); Center for Research on Pensions and Welfare Policies (CeRP); Rimini Centre for Economic Analysis (RCEA))

Abstract

The paper yields a structural account of economic integration in the Eurozone from its inception to post-pandemic developments by considering a broad range of convergence measures. We introduce a novel FAVAR framework, extracting the structural shocks driving the Eurozone business and financial cycles directly from the cyclical components they generate. Productivity advancements have been the critical trend convergence factor, shaping long swings in real, labor market, and financial dispersion. Subdued cost-push shocks were the key driver of Eurozone nominal and competitiveness convergence throughout 2015 but have become an all-rounded divergence force since then. Fiscal discipline imposed by the Stability and Growth Pact (SGP) increased real and financial divergence during all recessionary episodes, while the ECB expansionary monetary policy was a convergence factor. The SGP suspension during the recent pandemic recession and recovery has partially counteracted divergence pressures. Looking forward, convergence will crucially depend on how productivity dynamics and economic growth will fend off further unfavorable cost-push developments, which might become pervasive in a deglobalization-driven new macroeconomic regime.

Suggested Citation

  • Bagliano Fabio C. & Morana Claudio, 2024. "Eurozone Economic Integration: Historical Developments and New Challenges Ahead," Working papers 096, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    • Handle: RePEc:tur:wpapnw:096
    as

    Download full text from publisher

    File URL: https://www.bemservizi.unito.it/repec/tur/wpapnw/m96.pdf
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    2. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    3. Kristoffer Herland Hellton & Magne Thoresen, 2014. "The Impact of Measurement Error on Principal Component Analysis," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 1051-1063, December.
    4. Garcia-de-Andoain, Carlos & Kremer, Manfred, 2017. "Beyond spreads: Measuring sovereign market stress in the euro area," Economics Letters, Elsevier, vol. 159(C), pages 153-156.
    5. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    6. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    7. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    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. Morana, Claudio, 2024. "A new macro-financial condition index for the euro area," Econometrics and Statistics, Elsevier, vol. 29(C), pages 64-87.
    2. Niall O’Sullivan & Sheng Zhu & Jason Foran, 2019. "Sentiment versus liquidity pricing effects in the cross-section of UK stock returns," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 317-329, July.
    3. Li, Y-N. & Chen, J. & Linton, O., 2021. "Estimation of Common Factors for Microstructure Noise and Efficient Price in a High-frequency Dual Factor Model," Cambridge Working Papers in Economics 2150, Faculty of Economics, University of Cambridge.
    4. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    5. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    6. Chuan-Hao Hsu & Hung-Gay Fung & Yi-Ping Chang, 2016. "The performance of Taiwanese firms after a share repurchase announcement," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1251-1269, November.
    7. Ľuboš Pástor & M Blair Vorsatz & Jeffrey Pontiff, 0. "Mutual Fund Performance and Flows during the COVID-19 Crisis," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 791-833.
    8. Manuel Ammann & Philipp Horsch & David Oesch, 2016. "Competing with Superstars," Management Science, INFORMS, vol. 62(10), pages 2842-2858, October.
    9. Wu, Jianhong, 2019. "Detecting irrelevant variables in possible proxies for the latent factors in macroeconomics and finance," Economics Letters, Elsevier, vol. 176(C), pages 60-63.
    10. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    11. Arthur, Bruno R. & Katchova, Ani L., 2012. "Accruals Anomaly in Agriculture Financial Economics," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119822, Southern Agricultural Economics Association.
    12. C, Loran & Eckbo, Espen & Lu, Ching-Chih, 2014. "Does Executive Compensation Reflect Default Risk?," UiS Working Papers in Economics and Finance 2014/11, University of Stavanger.
    13. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    14. Jezek, M., 2009. "Passive Investors, Active Traders and Strategic Delegation of Price Discovery," Cambridge Working Papers in Economics 0951, Faculty of Economics, University of Cambridge.
    15. Eun, Cheol & Lee, Kyuseok & Wei, Fengrong, 2023. "Dual role of the country factors in international asset pricing: The local factors and proxies for the global factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    16. Lei Lin & Jing Tan & Wenzhen Liu, 2022. "Does monetary policy uncertainty command a risk premium in the Chinese stock market?," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 433-452, September.
    17. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    18. Wen-Hsiu Chou & William Hardin, 2014. "Performance Chasing, Fund Flows and Fund Size in Real Estate Mutual Funds," The Journal of Real Estate Finance and Economics, Springer, vol. 49(3), pages 379-412, October.
    19. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    20. Brushwood, James & Dhaliwal, Dan & Fairhurst, Douglas & Serfling, Matthew, 2016. "Property crime, earnings variability, and the cost of capital," Journal of Corporate Finance, Elsevier, vol. 40(C), pages 142-173.

    More about this item

    Keywords

    Real; nominal and financial convergence and divergence; Eurozone; Economic integration; Recessions; Financial crises; Subprime financial crisis; Sovereign debt crisis; Pandemic recession; FAVAR models.;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:tur:wpapnw:096. 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: Daniele Pennesi (email available below). General contact details of provider: https://edirc.repec.org/data/dstorit.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.