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Financial conditions and purchasing managers' indices: exploring the links

Author

Listed:
  • Burcu Erik
  • Marco Jacopo Lombardi
  • Dubravko Mihaljek
  • Hyun Song Shin

Abstract

Purchasing managers' indices (PMIs) have found a place in global conjunctural analysis and quarterly GDP nowcasting, serving as reliable concurrent indicators of real economic activity. They also closely mirror changes in equity prices and corporate bond spreads. More surprisingly, PMIs react to changes in the dollar index, and do so in a way that runs counter to a trade competitiveness explanation. We show that the financial variables help predict PMIs and explain a significant proportion of their variation. The two seem to be linked through shifts in macroeconomic sentiment and global financing conditions.

Suggested Citation

  • Burcu Erik & Marco Jacopo Lombardi & Dubravko Mihaljek & Hyun Song Shin, 2019. "Financial conditions and purchasing managers' indices: exploring the links," BIS Quarterly Review, Bank for International Settlements, September.
    • Handle: RePEc:bis:bisqtr:1909g
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    References listed on IDEAS

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    1. Stefan Avdjiev & Valentina Bruno & Catherine Koch & Hyun Song Shin, 2019. "The Dollar Exchange Rate as a Global Risk Factor: Evidence from Investment," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(1), pages 151-173, March.
    2. Raphael Espinoza & Fabio Fornari & Marco J. Lombardi, 2012. "The Role of Financial Variables in predicting economic activity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(1), pages 15-46, January.
    3. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2013. "Should Macroeconomic Forecasters Use Daily Financial Data and How?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 240-251, April.
    4. Pablo Duarte & Bernd Süssmuth, 2018. "Implementing an Approximate Dynamic Factor Model to Nowcast GDP Using Sensitivity Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 127-141, April.
    5. Clark, Todd E. & McCracken, Michael W., 2012. "In-sample tests of predictive ability: A new approach," Journal of Econometrics, Elsevier, vol. 170(1), pages 1-14.
    6. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    7. James Rossiter, 2010. "Nowcasting the Global Economy," Discussion Papers 10-12, Bank of Canada.
    8. Valentina Bruno & Se-Jik Kim & Hyun Shin, 2018. "Exchange Rates and the Working Capital Channel of Trade Fluctuations," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 531-536, May.
    9. Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2016. "A multi-country approach to forecasting output growth using PMIs," Journal of Econometrics, Elsevier, vol. 192(2), pages 349-365.
    10. 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.
    11. Gita Gopinath & Jeremy C. Stein, 2018. "Trade Invoicing, Bank Funding, and Central Bank Reserve Holdings," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 542-546, May.
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    Cited by:

    1. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn, 2023. "Networks, interconnectedness, and interbank information asymmetry," Journal of Financial Stability, Elsevier, vol. 67(C).
    2. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.
    3. Emanuel Kohlscheen, 2023. "Higher frequency activity indicators and global bond portfolio adjustments," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(4), pages 943-964, November.

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    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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