IDEAS home Printed from https://ideas.repec.org/p/bca/bocsan/18-6.html
   My bibliography  Save this paper

Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities

Author

Listed:
  • Thibaut Duprey

Abstract

When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances. Uncertainty on the profile of consumption by indebted households—and, therefore, risks to growth in gross domestic product (GDP)—arises from higher interest rates and from recent changes to the Office of the Superintendent of Financial Institutions’ B-20 mortgage underwriting guideline. I use non-linear Bayesian techniques to capture the potential amplification of negative shocks in a vulnerable environment. I find that the materialization of larger-than-expected impacts on consumption from higher interest rates and/or the tighter mortgage qualifying criteria would imply asymmetric risks to GDP growth.

Suggested Citation

  • Thibaut Duprey, 2018. "Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities," Staff Analytical Notes 2018-6, Bank of Canada.
  • Handle: RePEc:bca:bocsan:18-6
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2018/03/san2018-6.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sami Alpanda & Gino Cateau & Césaire Meh, 2018. "A policy model to analyze macroprudential regulations and monetary policy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(3), pages 828-863, August.
    2. Chatterjee, Somnath & Chiu, Jeremy & Hacioglu-Hoke, Sinem & Duprey, Thibaut, 2017. "A financial stress index for the United Kingdom," Bank of England working papers 697, Bank of England.
    3. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Vulnerable Growth," American Economic Review, American Economic Association, vol. 109(4), pages 1263-1289, April.
    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. Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
    2. Cameron MacDonald & Virginie Traclet, 2018. "The Framework for Risk Identification and Assessment," Technical Reports 113, Bank of Canada.
    3. Thibaut Duprey & Alexander Ueberfeldt, 2018. "How to Manage Macroeconomic and Financial Stability Risks: A New Framework," Staff Analytical Notes 2018-11, Bank of Canada.

    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. Denis Gorea & Oleksiy Kryvtsov & Tamon Takamura, 2016. "Leaning Within a Flexible Inflation-Targeting Framework: Review of Costs and Benefits," Discussion Papers 16-17, Bank of Canada.
    2. Dürmeier, Stefan, 2022. "A model of quantitative easing at the zero lower bound," BERG Working Paper Series 183, Bamberg University, Bamberg Economic Research Group.
    3. Mădălin Viziniuc, 2017. "Potential Gains from Cooperation Between Monetary and Macroprudential Policies: The Case of an Emerging Economy," Eastern European Economics, Taylor & Francis Journals, vol. 55(5), pages 420-452, September.
    4. Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
    5. Claudia Pacella, 2020. "Essays on Forecasting," ULB Institutional Repository 2013/307579, ULB -- Universite Libre de Bruxelles.
    6. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
    7. Yan Carrière-Swallow & José Marzluf, 2023. "Macrofinancial Causes of Optimism in Growth Forecasts," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 509-537, June.
    8. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    9. Mendicino, Caterina & Nikolov, Kalin & Ramirez, Juan-Rubio & Suarez, Javier & Supera, Dominik, 2020. "Twin defaults and bank capital requirements," Working Paper Series 2414, European Central Bank.
    10. Hélène Desgagnés, 2017. "The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications," Staff Working Papers 17-36, Bank of Canada.
    11. Geert Bekaert & Eric C. Engstrom & Nancy R. Xu, 2022. "The Time Variation in Risk Appetite and Uncertainty," Management Science, INFORMS, vol. 68(6), pages 3975-4004, June.
    12. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    13. Leonardo Gambacorta & Andrés Murcia, 2019. "The impact of macroprudential policies and their interaction with monetary policy: an empirical analysis using credit registry data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    14. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    15. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: a reference chronology," SciencePo Working papers Main hal-03373425, HAL.
    16. Suah, Jing Lian, 2020. "Uncertainty and Exchange Rates: Global Dynamics (Well, I Don't Quite Know Anymore)," MPRA Paper 109087, University Library of Munich, Germany.
    17. Danilo Leiva-Leon & Lorenzo Ductor, 2019. "Fluctuations in Global Macro Volatility," Working Papers 1925, Banco de España.
    18. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
    19. Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021. "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1173-1191.
    20. Chari, Anusha & Dilts-Stedman, Karlye & Forbes, Kristin, 2022. "Spillovers at the extremes: The macroprudential stance and vulnerability to the global financial cycle," Journal of International Economics, Elsevier, vol. 136(C).

    More about this item

    Keywords

    Business fluctuations and cycles; Econometric and statistical methods; Financial stability; Financial system regulation and policies; Monetary and financial indicators; Recent economic and financial developments; Uncertainty and monetary policy;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C0 - Mathematical and Quantitative Methods - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E - Macroeconomics and Monetary Economics
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions
    • G - Financial Economics
    • G0 - Financial Economics - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G1 - Financial Economics - - General Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:bca:bocsan:18-6. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.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.