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The lead-lag relationship between PPI, CPI and oil price: Malaysian evidence

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  • Kalthum, Ummi
  • Masih, Mansur

Abstract

A considerable body of economic literature shows the impact of oil-price shocks on commodities and inflation especially for the developed countries. However, there has been a relative lack of empirical study of this kind on the developing countries. The focus of this paper is to discern the lead-lag relationship between the producer price index (PPI), CPI and the oil price. We used the standard time-series techniques for the analysis and Malaysia as a case study. The findings tend to indicate that it is the PPI that leads the Oil price rather than the other way around. The results have strong policy implications at least in the context of developing countries like Malaysia.

Suggested Citation

  • Kalthum, Ummi & Masih, Mansur, 2017. "The lead-lag relationship between PPI, CPI and oil price: Malaysian evidence," MPRA Paper 108011, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:108011
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    References listed on IDEAS

    as
    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Masih, Rumi & Masih, Abul M. M., 2001. "Long and short term dynamic causal transmission amongst international stock markets," Journal of International Money and Finance, Elsevier, vol. 20(4), pages 563-587, August.
    3. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    4. Masson, Paul R & Bayoumi, Tamim & Samiei, Hossein, 1998. "International Evidence on the Determinants of Private Saving," The World Bank Economic Review, World Bank, vol. 12(3), pages 483-501, September.
    5. Kearney, Colm & Lucey, Brian M., 2004. "International equity market integration: Theory, evidence and implications," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 571-583.
    6. Mansur Masih & Ali Al-Elg & Haider Madani, 2009. "Causality between financial development and economic growth: an application of vector error correction and variance decomposition methods to Saudi Arabia," Applied Economics, Taylor & Francis Journals, vol. 41(13), pages 1691-1699.
    7. Maysami, Ramin Cooper & Koh, Tiong Sim, 2000. "A vector error correction model of the Singapore stock market," International Review of Economics & Finance, Elsevier, vol. 9(1), pages 79-96, February.
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    Cited by:

    1. Leila Ben Salem & Ridha Nouira & Christophe Rault, 2024. "On the Impact of Oil Prices on Sectoral Inflation: Evidence from World’s Top Oil Exporters and Importers," CESifo Working Paper Series 10879, CESifo.

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    More about this item

    Keywords

    PPI; CPI; oil price; VECM; VDC; Malaysia;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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