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U.S. stock prices and macroeconomic fundamentals

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  • Black, Angela
  • Fraser, Patricia
  • Groenewold, Nicolaas

Abstract

Using 54 yeras of US quarterly data and a VAR model underpinned by a theory of the relationship between stock prices and output, this paper considers the deviations of US stock prices from their fundamental value. To do this we derive the fundamental price-output ratio and the fundamental stock price under different assumptions regarding the time-variability of returns, and proceed to compare these to actual data. Despite differences between model results, all imply cyclical deviations of actual values from values warranted by the expected growth in output - these deviations being relatively large since 1996.
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Suggested Citation

  • Black, Angela & Fraser, Patricia & Groenewold, Nicolaas, 2003. "U.S. stock prices and macroeconomic fundamentals," International Review of Economics & Finance, Elsevier, vol. 12(3), pages 345-367.
  • Handle: RePEc:eee:reveco:v:12:y:2003:i:3:p:345-367
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    Cited by:

    1. Fredj Jawadi & Georges Prat, 2012. "Arbitrage costs and nonlinear adjustment in the G7 stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1561-1582, April.
    2. Faria, João Ricardo & Mollick, André Varella & Sachsida, Adolfo & Wang, Le, 2012. "Do central banks affect Tobin's q?," International Review of Economics & Finance, Elsevier, pages 1-10.
    3. Turuntseva, M. & Zyamalov, V., 2016. "Stock Markets under the Changing Terms of Trade," Journal of the New Economic Association, New Economic Association, vol. 31(3), pages 93-109.
    4. Junttila, Juha & Korhonen, Marko, 2011. "Utilizing financial market information in forecasting real growth, inflation and real exchange rate," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 281-301, April.
    5. Costello, Greg & Fraser, Patricia & Groenewold, Nicolaas, 2011. "House prices, non-fundamental components and interstate spillovers: The Australian experience," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 653-669, March.
    6. Patricia Fraser & Nicolaas Groenewold, 2004. "US share prices and real demand and supply shocks," Money Macro and Finance (MMF) Research Group Conference 2003 31, Money Macro and Finance Research Group.
    7. Benjamin Beckers, 2015. "The Real-Time Predictive Content of Asset Price Bubbles for Macro Forecasts," Discussion Papers of DIW Berlin 1496, DIW Berlin, German Institute for Economic Research.
    8. Branston, Christopher B. & Groenewold, Nicolaas, 2004. "Investment and share prices: fundamental versus speculative components," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 199-226, August.
    9. Yanrui Wu, 2001. "Productivity Growth at the Firm Level: with Application to the Chinese Steel Mills," The Journal of Entrepreneurship, Entrepreneurship Development Institute of India, vol. 10(1), pages 1-16, March.
    10. Miyakoshi, Tatsuyoshi & Tsukuda, Yoshihiko & Shimada, Junji, 2016. "Magnitudes of Market Inefficiency: Theory and Application," Japan and the World Economy, Elsevier, pages 23-36.
    11. Velinov, Anton & Chen, Wenjuan, 2015. "Do stock prices reflect their fundamentals? New evidence in the aftermath of the financial crisis," Journal of Economics and Business, Elsevier, pages 1-20.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E0 - Macroeconomics and Monetary Economics - - General
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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