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L’annualisation des chiffres d’exercices financiers

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  • Cholette, Pierre A.

    (Statistique Canada)

Abstract

A very common procedure to convert fiscal year data into calendar year values consists of setting the calendar year estimate equal to a fraction (e.g. 1/4) of one fiscal year value plus a complementary fraction (e.g. 3/4) of the next fiscal value. For instance if the fiscal year ends in March, the 1987 estimate (say) is equal to 1/4 of the 1986-87 fiscal value plus 3/4 of the 1987-88 value. According to this paper, this procedure is satisfactory only for fiscal data which display uninterrupted growth. Indeed if the fiscal data change direction or even level-off, the procedure implies a very unlikely behaviour of the underlying trend-cycle component. This in turn complicates business cycle analysis, decision making and macro-economic management. The paper compares the procedure to a method recently developed by Cholette and Baldwin (1989). The method is essentially an adaptation of the methods used for benchmarking, that is for adjusting sub-annual series to yearly benchmarks (Denton, 1971; Bournay and Laroque, 1979); and an adaption of the methods used for interpolating between calendar year values (Boot, Feibes and Lisman, 1967). Une façon répandue de transformer des chiffres d’exercices financiers en estimations d’année civile consiste à considérer l’estimation civile comme une fraction (par exemple 1/4) d’un chiffre financier et d’une fraction complémentaire (3/4) du chiffre financier suivant. À titre d’exemple, si l’année financière se termine en mars, l’estimation de 1987, disons, est l’addition des deux chiffres suivants : 1/4 du chiffre de 1986-87 et 3/4 du chiffre de 1987-88. Selon le présent article, ce procédé est acceptable seulement si les chiffres financiers sont en hausse (ou en baisse) ininterrompue. En effet, en cas de changement de direction — et même de plafonnement — des chiffres financiers, le procédé implique un comportement invraisemblable de la composante conjoncturelle sous-jacente. Ceci complique l’analyse conjoncturelle, la prise de décision et la gestion macro-économique. L’article compare le procédé à une méthode récemment mise au point par Cholette et Baldwin (1989). Cette dernière est essentiellement une adaptation des méthodes utilisées pour l’étalonnage, c’est-à-dire pour l’ajustement de séries infra-annuelles à des jalons annuels (Denton, 1971; Bournay et Laroque, 1979); de même qu’une adaptation des méthodes utilisées pour l’interpolation entre valeurs annuelles civiles (Boot, Feibes et Lisman, 1967).

Suggested Citation

  • Cholette, Pierre A., 1990. "L’annualisation des chiffres d’exercices financiers," L'Actualité Economique, Société Canadienne de Science Economique, vol. 66(2), pages 218-230, juin.
  • Handle: RePEc:ris:actuec:v:66:y:1990:i:2:p:218-230
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    1. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    2. Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-476, August.
    3. Kalman J. Cohen & Wolfgang Müller & Manfred W. Padberg, 1971. "Autoregressive Approaches to Disaggregation of Time Series Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 20(2), pages 119-129, June.
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