IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v49y2017i8p823-843.html

Explaining and forecasting bank loans. Good times and crisis

Author

Listed:
  • Grégory Levieuge

Abstract

This article aims to develop a parsimonious model to explain and forecast bank loans to nonfinancial companies during calm periods as well as in situations of financial turmoil. It focuses on the French context, over a period including financial, banking and sovereign debt crises. Theoretical views and intuitions led us to gauge the marginal informational content of a large set of leading indicators in VAR and VECM models, and to investigate potential nonlinearity in credit dynamics. In accordance with firms and banks’ balance sheet effects, the growth rate of equity prices appears to be one of the most interesting leading indicator as well as a significant threshold variable for explaining regime switching. However, it appears difficult to accurately predict the right credit dynamics regimes. A simple VAR model finally performs better.

Suggested Citation

  • Grégory Levieuge, 2017. "Explaining and forecasting bank loans. Good times and crisis," Applied Economics, Taylor & Francis Journals, vol. 49(8), pages 823-843, February.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:8:p:823-843
    DOI: 10.1080/00036846.2016.1208350
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2016.1208350
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2016.1208350?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nicola Rubino & Inmaculada Vilchez, 2024. "Modelling Loans to Non-Financial Corporations in the Eurozone: A Long-Memory Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 231-254, August.
    2. Thi Hong Hoang & Călin Gurău & Amine Lahiani & Thuy-Luu Seran, 2018. "Do crises impact capital structure? A study of French micro-enterprises," Small Business Economics, Springer, vol. 50(1), pages 181-199, January.
    3. Thi van Hoang & Călin Gurău & Amine Lahiani & Thuy-Luu Seran, 2017. "Do crises impact capital structure? A study of French micro-enterprises," Post-Print hal-03608784, HAL.

    More about this item

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:taf:applec:v:49:y:2017:i:8:p:823-843. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.