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Do equity index industry groups improve forecasts of inflation and production? A US analysis


  • Frank Browne
  • David Doran


This study develops a new financial market indicator, which may be a useful addition to analysing real activity in the US. By taking the ratio of the price return of equity industry groups of the S&P 500 over a benchmark industry group, in this case taken to be the Utilities industry group, an indicator is created which represents the price return performance specific to each individual industry. We then perform recursive pseudo out-of-sample bivariate forecasts of future changes in the Industrial Production Index (IPI) and the Consumer Price Index (CPI) at 3-month, 6-month and 12-month horizons using each of the indicators and compare results against an AR forecast. The results of the bivariate forecasts using a number of the indicators produce better forecasts of changes in the IPI and are also significant for causality, both for the full sample period and when tested recursively. Bivariate forecasts of changes to the CPI, however, do not improve upon the AR forecasts.

Suggested Citation

  • Frank Browne & David Doran, 2005. "Do equity index industry groups improve forecasts of inflation and production? A US analysis," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1801-1812.
  • Handle: RePEc:taf:applec:v:37:y:2005:i:15:p:1801-1812
    DOI: 10.1080/00036840500215394

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    References listed on IDEAS

    1. Jay Choi, Jongmoo & Hauser, Shmuel & Kopecky, Kenneth J., 1999. "Does the stock market predict real activity? Time series evidence from the G-7 countries," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1771-1792, December.
    2. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    3. Robert Faff & Richard Heaney, 1999. "An examination of the relationship between Australian industry equity returns and expected inflation," Applied Economics, Taylor & Francis Journals, vol. 31(8), pages 915-933.
    4. Omer Ozcicek & W. DOUGLAS McMILLIN, 1999. "Lag length selection in vector autoregressive models: symmetric and asymmetric lags," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 517-524.
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    Cited by:

    1. Francisco Jareno, 2008. "Spanish stock market sensitivity to real interest and inflation rates: an extension of the Stone two-factor model with factors of the Fama and French three-factor model," Applied Economics, Taylor & Francis Journals, vol. 40(24), pages 3159-3171.
    2. repec:eaa:aeinde:v:17:y:2017:i:2_5 is not listed on IDEAS
    3. Andersson, Magnus & D'Agostino, Antonello, 2008. "Are sectoral stock prices useful for predicting euro area GDP?," Research Technical Papers 2/RT/08, Central Bank of Ireland.

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