IDEAS home Printed from https://ideas.repec.org/p/bca/bocadp/23-19.html
   My bibliography  Save this paper

Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency

Author

Listed:
  • Chinara Azizova
  • Bruno Feunou
  • James Kyeong

Abstract

In this paper, we estimate the distribution of future inflation and growth in real gross domestic product (GDP) for the Canadian economy at a daily frequency. To do this, we model the conditional moments (mean, variance, skewness and kurtosis) of inflation and GDP growth as moving averages of economic and financial conditions. Then, we translate the conditional moments into conditional distributions using a flexible parametric distribution known as the skewed generalized error distribution. We show that the probabilities of inflation and GDP growth derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022. Our methodology offers daily-frequency forecasts with flexible forecasting horizons. This is highly useful in an environment of elevated uncertainty surrounding the inflation and growth outlook.

Suggested Citation

  • Chinara Azizova & Bruno Feunou & James Kyeong, 2023. "Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency," Discussion Papers 2023-19, Bank of Canada.
    • Handle: RePEc:bca:bocadp:23-19
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/2023/09/staff-discussion-paper-2023-19/
    File Function: Abstract
    Download Restriction: no
    File URL: https://www.bankofcanada.ca/wp-content/uploads/2023/09/sdp2023-19.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nathan Bedock & Dalibor Stevanovic, 2017. "An empirical study of credit shock transmission in a small open economy," Canadian Journal of Economics, Canadian Economics Association, vol. 50(2), pages 541-570, May.
    2. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    3. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    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. Jukka Sihvonen & Sami Vähämaa, 2014. "Forward‐Looking Monetary Policy Rules and Option‐Implied Interest Rate Expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(4), pages 346-373, April.
    2. Song, Wei-Ling & Uzmanoglu, Cihan, 2016. "TARP announcement, bank health, and borrowers’ credit risk," Journal of Financial Stability, Elsevier, vol. 22(C), pages 22-32.
    3. Valérie Oheix & Dorothée Rivaud-Danset, 2009. "Why do firms borrow on a short-term basis ? Evidence from European countries," Working Papers hal-04140880, HAL.
    4. Athanasios Geromichalos & Lucas Herrenbrueck, 2022. "The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 134-167, July.
    5. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    6. Ricardo Barradas & Ines Tomas, 2023. "Household indebtedness in the European Union countries: Going beyond the mainstream interpretation," PSL Quarterly Review, Economia civile, vol. 76(304), pages 21-49.
    7. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    8. Paul D. McNelis, 2014. "Finding Stability in a Time of Crisis: Lessons of East Asia for Eastern Europe," Working Papers 052014, Hong Kong Institute for Monetary Research.
    9. Stolbov, M., 2012. "Financial Accelerator Theory and the Russian Mortgage Market," Journal of the New Economic Association, New Economic Association, vol. 13(1), pages 79-98.
    10. Couaillier, Cyril & Scalone, Valerio, 2024. "Risk-to buffer: setting cyclical and structural banks capital requirements through stress test," Working Paper Series 2966, European Central Bank.
    11. Philip Arestis & Malcolm Sawyer, 2003. "Does the stock of money have any causal significance?," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 56(225), pages 113-136.
    12. Dimelis, Sophia & Giotopoulos, Ioannis & Louri, Helen, 2015. "Can firms grow without credit?: evidence from the Euro Area, 2005-2011: a quantile panel analysis," LSE Research Online Documents on Economics 61157, London School of Economics and Political Science, LSE Library.
    13. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    14. Steven Ongena & Günseli Tümer–Alkan & Natalja von Westernhagen, 2018. "Do Exposures to Sagging Real Estate, Subprime, or Conduits Abroad Lead to Contraction and Flight to Quality in Bank Lending at Home?," Review of Finance, European Finance Association, vol. 22(4), pages 1335-1373.
    15. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    16. Giuseppe Cinquegrana, 2014. "Effetti differenziali delle politiche monetarie sugli investimenti delle imprese industriali italiane: un?analisi con metodologia panel," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2014(3), pages 40-78.
    17. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    18. Prüser, Jan, 2017. "Forecasting US inflation using Markov dimension switching," Ruhr Economic Papers 710, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. Krainer, Robert E., 2002. "Banking in a theory of the business cycle: a model and critique of the Basle Accord on risk-based capital requirements for banks," International Review of Law and Economics, Elsevier, vol. 21(4), pages 413-433, May.
    20. Jean-Bernard Chatelain, 1999. "Taux de marge et structure financière," Annals of Economics and Statistics, GENES, issue 53, pages 127-147.

    More about this item

    Keywords

    Econometric and statistical methods; Business fluctuations and cycles;

    JEL classification:

    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:bca:bocadp:23-19. 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.