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

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  • Frank Browne
  • David Doran

Abstract

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

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    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. 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.
    3. 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.
    4. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    5. 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.
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    Cited by:

    1. Shaikh Hamid & Tej Dhakar, 2008. "The behaviour of the US consumer price index 1913-2003: a study of seasonality in the monthly US CPI," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1637-1650.
    2. María de la O & Francisco JAREÑO, Francisco & SKINNER, Frank S., 2017. "The Financial Crisis Impact: An Industry Level Analysis Of The Us Stock Market González," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 17(2), pages 61-74.
    3. Claudiu Tiberiu Albulescu & Christian Aubin & Daniel Goyeau, 2017. "Stock prices, inflation and inflation uncertainty in the U.S.: testing the long-run relationship considering Dow Jones sector indexes," Applied Economics, Taylor & Francis Journals, vol. 49(18), pages 1794-1807, April.
    4. Chatelais, Nicolas & Stalla-Bourdillon, Arthur & Chinn, Menzie D., 2023. "Forecasting real activity using cross-sectoral stock market information," Journal of International Money and Finance, Elsevier, vol. 131(C).
    5. Nicolas Chatelais & Menzie Chinn & Arthur Stalla-Bourdillon, 2022. "Macroeconomic Forecasting Using Filtered Signals from a Stock Market Cross Section," Working papers 903, Banque de France.
    6. 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.
    7. 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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