IDEAS home Printed from https://ideas.repec.org/p/fca/wpfnca/2002-06.html
   My bibliography  Save this paper

Forecasting a One Quarter Decline in Canadian Real GDP with Probit Models

Author

Listed:
  • Carl Gaudreault
  • Robert Lamy

Abstract

This paper examines the capacity of a variety of macroeconomic indicators to forecast a one-quarter decline in Canadian real GDP using a standard probit model. We find the U.S NAPM overall index to be the best single coincident predictor of a one-quarter decline in Canadian real GDP followed very closely by employment growth. The information content of the index is enhanced when used in combination with employment growth in the current quarter. For a forecast horizon of one and two quarters, growth in the Finance index of leading indicators of Canadian economic activity and growth in real M1 are the best single leading predictors as they have the highest information content. Growth in real M1 adds the most to the predictive capacity of the leading index and vice-versa. Beyond a forecast horizon of two quarters, the yield curve has the most information content in forecasting a one-quarter decline in Canadian real GDP. The paper also assesses the reliability of probit models in forecasting a one-quarter decline in Canadian real GDP for forecast horizons from zero to two quarters. In- and out-of-sample, the most reliable model has a forecast horizon of one quarter. It includes the growth in the Finance index of leading indicators of Canadian economic activity lagged one quarter and the growth in real M1 lagged two quarters. In-sample, the model predicted 63 per cent of the nineteen quarterly declines in Canadian real GDP since the first quarter of 1969. Out-of-sample, the success rate since the first quarter of 1980 is 71 per cent. Ce papier étudie l’aptitude de plusieurs variables macro-économiques à prévoir une diminution du PIB réel canadien dans un trimestre donné en utilisant des modèles probit standards. Nous trouvons l’indice NAPM agrégé des États-Unis comme étant la meilleure variable coïncidente de prévision d’une diminution trimestrielle du PIB réel du Canada, suivi de très près par la croissance de l’emploi. Le pouvoir prédictif de l’indice NAPM est amélioré lorsqu’il est utilisé conjointement avec le taux de croissance de l’emploi du trimestre courant. Sur un horizon de un et deux trimestres, les meilleures variables de prévision sont respectivement l’indice économique avancé pour le Canada construit par le ministère des Finances, et le taux de croissance de la masse monétaire réelle M1. Cette dernière variable ajoute le plus au pouvoir prédictif de l’indice avancé et vice versa. Sur un horizon de plus de deux trimestres, la courbe de rendement contient plus d’information prédictive que toutes les autres variables pour la prévision d’une diminution du PIB réel du Canada. Le papier examine également la fiabilité des modèles probit quant à la prévision d’une diminution du PIB réel américain sur un horizon de zéro à deux trimestres. En échantillon et hors échantillon, le modèle le plus fiable est celui avec un trimestre comme horizon de prévision, soit celui avec le taux de croissance de l’indice économique avancé retardé d’un trimestre et le taux de croissance de M1 réelle retardé de deux trimestres. En échantillon, il a su prévoir 63% des dix-neuf diminutions trimestrielles du PIB réel du Canada depuis le premier trimestre de 1969. Hors échantillon, le taux de succès s’élève à 71% depuis le premier trimestre de 1980.

Suggested Citation

  • Carl Gaudreault & Robert Lamy, "undated". "Forecasting a One Quarter Decline in Canadian Real GDP with Probit Models," Working Papers-Department of Finance Canada 2002-06, Department of Finance Canada.
  • Handle: RePEc:fca:wpfnca:2002-06
    as

    Download full text from publisher

    File URL: http://www.fin.gc.ca/scripts/Publication_Request/request2_e.asp?doc=wp2002-06e.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:fca:wpfnca:2002-06. 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: Gustavo Durango (email available below). General contact details of provider: https://edirc.repec.org/data/fingvca.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.