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Time variation in the cointegrating relationship between stock prices and economic activity

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  • David McMillan
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    Abstract

    The present paper examines whether there exists a long-run cointegrating relationship between a stock market index and output and interest rates. Moreover, estimation is conducted over the full sample and both a recursive and rolling sample to examine any time variation in the nature of the relationship. The results support evidence of a single cointegrating vector, where stock prices typically exhibit a positive relationship with industrial production and a negative relationship with interest rates. However, there is significant time variation and periods of time where contrary results are observed. As such any model of stock prices needs to account for such time variation

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/02692170500119862
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal International Review of Applied Economics.

    Volume (Year): 19 (2005)
    Issue (Month): 3 ()
    Pages: 359-368

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    Handle: RePEc:taf:irapec:v:19:y:2005:i:3:p:359-368

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    Related research

    Keywords: Stock Prices; cointegration; time variation; JEL Classification: C22; G12;

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    References

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    1. Campbell, John Y & Hamao, Yasushi, 1992. " Predictable Stock Returns in the United States and Japan: A Study of Long-Term Capital Market Integration," Journal of Finance, American Finance Association, vol. 47(1), pages 43-69, March.
    2. Balvers, Ronald J & Cosimano, Thomas F & McDonald, Bill, 1990. " Predicting Stock Returns in an Efficient Market," Journal of Finance, American Finance Association, vol. 45(4), pages 1109-28, September.
    3. Cheung, Yin-Wong & Ng, Lilian K., 1998. "International evidence on the stock market and aggregate economic activity," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 281-296, September.
    4. Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
    5. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
    6. Ferson, Wayne E & Harvey, Campbell R, 1993. "The Risk and Predictability of International Equity Returns," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 527-66.
    7. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
    8. Pesaran, M Hashem & Timmermann, Allan, 1995. " Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-28, September.
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    Cited by:
    1. Gazi Mainul Hassan & Hisham M. Al refai, 2012. "Can macroeconomic factors explain equity returns in the long run? The case of Jordan," Applied Financial Economics, Taylor & Francis Journals, vol. 22(13), pages 1029-1041, July.
    2. Maria Grazia Miele, 2013. "The effects of capital requirements on real economy: a cointegrated VAR approach for US commercial banks," Working Papers 163, University of Rome La Sapienza, Department of Public Economics.
    3. Khaled Hussainey & Le Khanh Ngoc, 2009. "The impact of macroeconomic indicators on Vietnamese stock prices," Journal of Risk Finance, Emerald Group Publishing, vol. 10(4), pages 321-332, August.

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