IDEAS home Printed from https://ideas.repec.org/p/zbw/bofecr/42022.html
   My bibliography  Save this paper

A model for predicting Finnish household loan stocks

Author

Listed:
  • Nyholm, Juho
  • Silvo, Aino

Abstract

We propose a new Bayesian VAR model for forecasting household loan stocks in Finland. The model is designed to work as a satellite model of a larger DSGE model for the Finnish economy, the Aino 2.0 model. The forecasts produced with the BVAR model can be conditioned on projections of several macro variables obtained from the Aino 2.0 model. We study several specifications for the set of variables and lags included in the BVAR, and evaluate their out-of-sample forecast accuracy with root mean squared forecasting errors (RMSFEs). We then select a preferred specification that performs best in predicting the loan stocks over forecast horizons ranging from one to twelve quarters ahead. The model adds to the existing toolkit of forecast models currently in use at the Bank of Finland and improves our understanding of household debt trends in Finland.

Suggested Citation

  • Nyholm, Juho & Silvo, Aino, 2022. "A model for predicting Finnish household loan stocks," BoF Economics Review 4/2022, Bank of Finland.
    • Handle: RePEc:zbw:bofecr:42022
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/261371/1/1809694957.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. √Íscar Jord√Ä & Moritz Schularick & Alan M. Taylor, 2013. "When Credit Bites Back," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 3-28, December.
    3. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    4. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    5. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    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. Martin Hodula & Jan Janku & Lukas Pfeifer, 2021. "Interaction of Cyclical and Structural Systemic Risks: Insights from Around and After the Global Financial Crisis," Research and Policy Notes 2021/03, Czech National Bank.
    2. David Aikman & Andreas Lehnert & J. Nellie Liang & Michele Modugno, 2016. "Financial Vulnerabilities, Macroeconomic Dynamics, and Monetary Policy," Finance and Economics Discussion Series 2016-055, Board of Governors of the Federal Reserve System (U.S.).
    3. Hodula, Martin & Pfeifer, Lukáš & Janků, Jan, 2022. "The effect of structural risks on financial downturns," ESRB Working Paper Series 138, European Systemic Risk Board.
    4. Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
    5. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    6. 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.
    7. 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.
    8. Aikman, David & Bridges, Jonathan & Hacioglu Hoke, Sinem & O’Neill, Cian & Raja, Akash, 2019. "Credit, capital and crises: a GDP-at-Risk approach," Bank of England working papers 824, Bank of England, revised 18 Oct 2019.
    9. Svensson, Lars E.O., 2017. "Cost-benefit analysis of leaning against the wind," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 193-213.
    10. Oet, Mikhail V. & Bianco, Timothy & Gramlich, Dieter & Ong, Stephen J., 2013. "SAFE: An early warning system for systemic banking risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4510-4533.
    11. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    12. Eberhardt, Markus & Presbitero, Andrea F., 2021. "Commodity prices and banking crises," Journal of International Economics, Elsevier, vol. 131(C).
    13. Fiedler, Salomon & Gern, Klaus-Jürgen & Jannsen, Nils & Wolters, Maik H., 2019. "Growth prospects, the natural interest rate, and monetary policy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-34.
    14. policy, Work stream on macroprudential & Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas, 2021. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
    15. Sebastian Ankargren & Mårten Bjellerup & Hovick Shahnazarian, 2017. "The importance of the financial system for the real economy," Empirical Economics, Springer, vol. 53(4), pages 1553-1586, December.
    16. Björn Richter & Moritz Schularick & Paul Wachtel, 2021. "When to Lean against the Wind," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 5-39, February.
    17. Miroslav Plašil & Jakub Seidler & Petr Hlaváč, 2016. "A New Measure of the Financial Cycle: Application to the Czech Republic," Eastern European Economics, Taylor & Francis Journals, vol. 54(4), pages 296-318, July.
    18. Timothy Bianco & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong, 2012. "Financial stress index: a lens for supervising the financial system," Working Papers (Old Series) 12-37, Federal Reserve Bank of Cleveland.
    19. Lang, Jan Hannes & Forletta, Marco, 2020. "Cyclical systemic risk and downside risks to bank profitability," Working Paper Series 2405, European Central Bank.

    More about this item

    Keywords

    household debt; Bayesian estimation; conditional forecasting;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: 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
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - 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:zbw:bofecr:42022. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/bofgvfi.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.