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Exchange-Rate-Investment Link: Industry-Level Evidence for OECD Countries

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  • Duygu YOLCU KARADAM

Abstract

This study investigates whether investment reacts differently to exchange rate movements across industries. Using a broad panel of OECD countries including both advanced and emerging economies, we estimate the impact of exchange rate levels and volatility on sectoral investment. To this end, two disaggregated datasets are employed: Total investment across 10 major industries and manufacturing investment across 10 manufacturing sub-sectors. We estimate investment equations for aggregate investment as well as individual sectors employing Pooled Mean Group method which enables us to identify short and long run effects and account for country heterogeneity. The results show that changes in the level and volatility of exchange rates affect sectoral investment mainly in the long run. Higher exchange rate volatility generally reduces investment in most of the industries. However, the effect of exchange rate levels varies considerably across sectors. Real depreciations tend to lower sectoral investment, except for Manufacturing and Services sectors. While a weaker currency boosts investment in aggregate manufacturing, it has no significant long-run effect on most service industries. Within manufacturing, depreciation reduces investment in low-technology industries but supports investment in medium- and high-technology sectors.

Suggested Citation

  • Duygu YOLCU KARADAM, 2026. "Exchange-Rate-Investment Link: Industry-Level Evidence for OECD Countries," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 2.
  • Handle: RePEc:fis:journl:260207
    DOI: 10.25295/fsecon.1841127
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    References listed on IDEAS

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    1. Jonathan Kearns & Nikhil Patel, 2016. "Does the financial channel of exchange rates offset the trade channel?," BIS Quarterly Review, Bank for International Settlements, December.
    2. Peter Wierts & Henk van Kerkhoff & Jakob de Haan, 2012. "Trade Dynamics in the Euro Area: The role of export destination and composition," DNB Working Papers 354, Netherlands Central Bank, Research Department.
    3. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    4. Palazzo, Gabriel, 2024. "Real exchange rate and export surge episodes: What sectors take advantage of the real exchange rate stimulus?," Structural Change and Economic Dynamics, Elsevier, vol. 68(C), pages 446-467.
    5. Zeira, Joseph, 1990. "Cost uncertainty and the rate of investment," Journal of Economic Dynamics and Control, Elsevier, vol. 14(1), pages 53-63, February.
    6. Luis Servén, 2003. "ERRATUM: Real-Exchange-Rate Uncertainty and Private Investment in LDCs," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 492-492, May.
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    Keywords

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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