IDEAS home Printed from https://ideas.repec.org/p/bde/opaper/2311.html
   My bibliography  Save this paper

Marco de análisis sistémico del impacto de los riesgos económicos y financieros

Author

Listed:
  • Carlos Pérez Montes

    (Banco de España)

  • Jorge E. Galán

    (Banco de España)

  • María Bru

    (Banco de España)

  • Julio Gálvez

    (Banco de España)

  • Alberto García

    (Banco de España)

  • Carlos González

    (Banco de España)

  • Samuel Hurtado

    (Banco de España)

  • Nadia Lavín

    (Banco de España)

  • Eduardo Pérez Asenjo

    (Banco de España)

  • Irene Roibás

    (Banco de España)

Abstract

Este documento presenta el marco de referencia del Banco de España para el análisis del impacto de la materialización de riesgos macroeconómicos y financieros sobre la actividad real y la estabilidad financiera. Este marco incluye un amplio conjunto de modelos y métodos, tanto empíricos como teóricos, con el fin de capturar la heterogeneidad de las diversas fuentes de riesgo y sus distintas características. En particular, se describe su aplicación para medir el impacto de riesgos, derivados tanto de fuentes endógenas (como la acumulación de desequilibrios macroeconómicos y financieros a lo largo del ciclo) como de fuentes exógenas. Respecto a estas últimas, se presenta la aplicación de estos modelos en el contexto de la irrupción de la pandemia de COVID-19 y de las medidas de política económica adoptadas en respuesta la crisis resultante, tanto en los ámbitos fiscal y monetario como en el prudencial. Igualmente, se presenta su aplicación en el contexto de la invasión rusa de Ucrania y de la intensificación de las tensiones inflacionarias y de incertidumbre económica.

Suggested Citation

  • Carlos Pérez Montes & Jorge E. Galán & María Bru & Julio Gálvez & Alberto García & Carlos González & Samuel Hurtado & Nadia Lavín & Eduardo Pérez Asenjo & Irene Roibás, 2023. "Marco de análisis sistémico del impacto de los riesgos económicos y financieros," Occasional Papers 2311, Banco de España.
  • Handle: RePEc:bde:opaper:2311
    DOI: https://doi.org/10.53479/29873
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/23/Fich/do2311.pdf
    File Function: First version, April 2023
    Download Restriction: no

    File URL: https://www.bde.es/f/webbe/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/23/Files/do2311e.pdf
    File Function: Versión en inglés
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.53479/29873?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
    ---><---

    References listed on IDEAS

    as
    1. Angela Abbate & Dominik Thaler, 2019. "Monetary Policy and the Asset Risk‐Taking Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2115-2144, December.
    2. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    3. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.
    4. Alessi, Lucia & Detken, Carsten, 2018. "Identifying excessive credit growth and leverage," Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
    5. Pablo Aguilar & Jesús Vázquez, 2018. "Term structure and real-time learning," Working Papers 1803, Banco de España.
    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. Carlos Pérez Montes & Jorge E. Galán & María Bru & Julio Gálvez & Alberto García & Carlos González & Samuel Hurtado & Nadia Lavín & Eduardo Pérez Asenjo & Irene Roibás, 2023. "Systemic analysis framework for the impact of economic and financial risks," Occasional Papers 2311, Banco de España.
    2. Diana Žigraiová & Aitor Erce & Xu Jiang, 2020. "Quantifying risks to sovereign market access: Methods and challenges," Working Papers 42, European Stability Mechanism.
    3. Nikolay Hristov & Markus Roth, 2019. "Uncertainty Shocks and Financial Crisis Indicators," CESifo Working Paper Series 7839, CESifo.
    4. Mikkel Hermansen & Oliver Röhn, 2017. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Journal: Economic Studies, OECD Publishing, vol. 2016(1), pages 9-35.
    5. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
    6. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    7. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    8. Dany-Knedlik, Geraldine & Kämpfe, Martina & Knedlik, Tobias, 2021. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European Countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 123-139.
    9. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    10. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
    11. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
    12. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
    13. Gernát, Peter & Košťálová, Zuzana & Lyócsa, Štefan, 2020. "What drives U.S. financial sector volatility? A Bayesian model averaging perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
    14. 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.
    15. Cabral, Inês & Detken, Carsten & Fell, John & Henry, Jérôme & Hiebert, Paul & Kapadia, Sujit & Pires, Fatima & Salleo, Carmelo & Constâncio, Vítor & Nicoletti Altimari, Sergio, 2019. "Macroprudential policy at the ECB: Institutional framework, strategy, analytical tools and policies," Occasional Paper Series 227, European Central Bank.
    16. Federica Ciocchetta & Wanda Cornacchia & Roberto Felici & Michele Loberto, 2016. "Assessing financial stability risks from the real estate market in Italy," Questioni di Economia e Finanza (Occasional Papers) 323, Bank of Italy, Economic Research and International Relations Area.
    17. Bochmann, Paul & Hiebert, Paul & Schüler, Yves & Segoviano, Miguel A., 2024. "Latent fragility: Conditioning banks' joint probability of default on the financial cycle," Journal of International Money and Finance, Elsevier, vol. 146(C).
    18. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    19. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.
    20. Zuzana Košťálová & Eva Horvátová & Štefan Lyócsa & Peter Gernát, 2022. "New Credit Drivers: Results from a Small Open Economy," Eastern European Economics, Taylor & Francis Journals, vol. 60(1), pages 79-112, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G50 - Financial Economics - - Household Finance - - - General

    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:bde:opaper:2311. 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: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.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.