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Cross-country evidence on the relation between stock prices and the current account

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  • Tim Oliver Berg

Abstract

This article explores the relation between stock prices and the current account for 17 Organization for Economic Co-operation and Development (OECD) countries in 1980--2007. A panel Vector Autoregressive (VAR) model is used to compare the effects of stock price shocks to those originating from monetary policy and exchange rates. While monetary policy shocks have little effects, shocks to stock prices and exchange rates have sizeable effects. A 10% contraction in stock prices improves the current account by 0.3% after 2 years. Hence a channel -- in addition to the traditional exchange rate channel -- is found through which external balance for an OECD country with a current account imbalance can be restored.

Suggested Citation

  • Tim Oliver Berg, 2013. "Cross-country evidence on the relation between stock prices and the current account," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2267-2277, June.
  • Handle: RePEc:taf:applec:45:y:2013:i:16:p:2267-2277
    DOI: 10.1080/00036846.2012.659349
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    Cited by:

    1. Roman Inderst & Manuel Klein, 2007. "Innovation, endogenous overinvestment, and incentive pay," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 881-904, December.
    2. Bilal KARGI, 2014. "Time Series Analysis about the Relationship between Foreign Trade and Exchange Rate in Turkish Economy," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 7(2), pages 123-133, December.
    3. Inderst, Roman & Mueller, Holger M., 2009. "Early-stage financing and firm growth in new industries," Journal of Financial Economics, Elsevier, vol. 93(2), pages 276-291, August.
    4. Amr S. Hosny & N. Kundan Kishor & Mohsen Bahmani-Oskooee, 2015. "Understanding the dynamics of the macroeconomic trilemma," International Review of Applied Economics, Taylor & Francis Journals, vol. 29(1), pages 32-64, January.
    5. Inderst, Roman, 2010. "Misselling (financial) products: The limits for internal compliance," Economics Letters, Elsevier, vol. 106(1), pages 35-37, January.
    6. Roman Inderst & Holger M. Mueller, 2010. "CEO Replacement Under Private Information," Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 2935-2969, August.
    7. Roman Inderst & Holger M. Mueller & Felix Münnich, 2006. "Financing a Portfolio of Projects," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1289-1325.
    8. Inderst, Roman & Mueller, Holger M., 2008. "Bank capital structure and credit decisions," Journal of Financial Intermediation, Elsevier, vol. 17(3), pages 295-314, July.
    9. Inderst, Roman, 2009. "Loan origination under soft- and hard-information lending," IMFS Working Paper Series 27, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    10. repec:mth:ber888:v:7:y:2017:i:2:p:163-177 is not listed on IDEAS
    11. Roman Inderst, 2008. "'Irresponsible Lending' With A Better Informed Lender," Economic Journal, Royal Economic Society, vol. 118(532), pages 1499-1519, October.
    12. Komain Jiranyakul, 2017. "Asset Prices, Real Exchange Rate and Current Account Fluctuations: Some Structural VAR Evidence for Thailand," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 163-177, December.
    13. Prabu A, Edwin & Bhattacharyya, Indranil & Ray, Partha, 2016. "Is the stock market impervious to monetary policy announcements: Evidence from emerging India," International Review of Economics & Finance, Elsevier, vol. 46(C), pages 166-179.

    More about this item

    JEL classification:

    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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