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Foreign PMIs: A reliable indicator for Swiss exports

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  • Hanslin Grossmann, Sandra
  • Scheufele, Rolf

Abstract

Foreign economic activity is a major determinant of export development. This paper presents an indicator for now- and forecasting exports, which is based on survey data that captures foreign economic performance. We construct an indicator by weighting foreign PMIs of Switzerland's main trading partners with their export shares and compare its forecasting performance with alternative indicators. The paper shows that the indicator based on foreign PMIs is strongly correlated with exports (total as well as goods exports). In an out-of-sample forecast comparison we employ standard ARDL models as well as MIDAS models to forecast different definitions of exports. We document that our export indicator outperforms many other previously used indicators for forecasting exports and an univariate benchmark. As manufacturing is an important pillar of the Swiss economy and is highly export intensive, improving export forecasts is also beneficial for forecasting Swiss GDP.

Suggested Citation

  • Hanslin Grossmann, Sandra & Scheufele, Rolf, 2015. "Foreign PMIs: A reliable indicator for Swiss exports," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112830, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc15:112830
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    5. Robert Lehmann, 2021. "Forecasting exports across Europe: What are the superior survey indicators?," Empirical Economics, Springer, vol. 60(5), pages 2429-2453, May.
    6. Ca' Zorzi, Michele & Schnatz, Bernd, 2007. "Explaining and forecasting euro area exports: which competitiveness indicator performs best?," Working Paper Series 833, European Central Bank.
    7. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    8. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
    9. Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "The Ifo Export Climate – an Early Indicator for the German Export Forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
    10. Baghestani, Hamid, 1994. "Evaluating multiperiod survey forecasts of real net exports," Economics Letters, Elsevier, vol. 44(3), pages 267-272.
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    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Robert Lehmann, 2021. "Forecasting exports across Europe: What are the superior survey indicators?," Empirical Economics, Springer, vol. 60(5), pages 2429-2453, May.
    3. Radoslaw Sobko & Maria Klonowska-Matynia, 2021. "The Relationship between the Purchasing Managers’ Index (PMI) and Economic Growth: The Case for Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 198-219.

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    More about this item

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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