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A quasi real-time leading indicator for the EU industrial production

Author

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  • Donadelli, Michael
  • Paradiso, Antonio
  • Riedel, Max

Abstract

We build a quasi real-time leading indicator (LI) for the EU industrial production (IP). Differently from previous studies, the technique developed in this paper gives rise to an ex-ante LI that is immune to "overlapping information drawbacks". In addition, the set of variables composing the LI relies on a two-steps dynamic and systematic procedure. This ensures that the choice of the variables is not driven by subjective views. Our LI anticipates swings (including the 2007-2008 crisis) in the EU industrial production - on average - by 2 to 3 months. If revised, its predictive power largely improves. Via a couple of standard empirical exercises we show that the proposed LI (i) forecasts crises' phases better than the ex-post LIs proposed by the OECD and the Conference Board and (ii) captures the interest rate policy pattern rather well.

Suggested Citation

  • Donadelli, Michael & Paradiso, Antonio & Riedel, Max, 2016. "A quasi real-time leading indicator for the EU industrial production," SAFE Working Paper Series 118 [rev.], Leibniz Institute for Financial Research SAFE, revised 2016.
    • Handle: RePEc:zbw:safewp:118r
    DOI: 10.2139/ssrn.2694608
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    Cited by:

    1. Uluceviz, Erhan & Yilmaz, Kamil, 2021. "Measuring real–financial connectedness in the U.S. economy," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

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    More about this item

    Keywords

    Leading indicator; EU industrial production; Granger causality; Turning points; Forward-looking Taylor rule;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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